business-context-os
LLM wiki kit
First committed by walm00
Published in walm00/business-context-os. Publisher page
22 GitHub stars
What it is
CLEAR Context OS is the maintenance layer your second brain never had: ownership boundaries enforced mechanically, staleness surfaced on a schedule, drift propagated across linked docs, a dispatcher that learns from your clicks. One source of truth per topic. Searchable. Task-aware.
AutoGineer overview, from the brain’s own files
CLEAR Context OS is a framework designed to solve the problem of silent context degradation in AI agents. By implementing a structured methodology called CLEAR (Contextual Ownership, Linking, Elimination, Alignment, Refinement), it provides a maintenance layer that manages knowledge through automated scheduling, ownership enforcement, and drift detection. It organizes information into specific zones—such as canonical data, wiki-based derivatives, and verbatim evidence—ensuring that agents always operate on the most accurate, source-of-truth-ranked information. The system includes a dispatcher for scheduled maintenance, a local dashboard for monitoring, and integration with Claude Code to facilitate onboarding and task-aware context retrieval.
How it works
Memory model: LLM wiki
AutoGineer overview, from the brain’s own files
The system organizes information into a folder hierarchy where the path itself acts as a trust signal for the LLM. It uses a dispatcher to run scheduled maintenance jobs that check for staleness, propagate updates across linked documents, and audit content health. New information is ingested through a routing process that places content into specific zones: canonical data for facts, wiki pages for operational knowledge, and collections for legal evidence. The system learns from user interactions to suggest fixes and uses frontmatter metadata to allow agents to filter and retrieve information efficiently without full-text scanning.
| Folder | Role | Files |
|---|---|---|
| .claude | agent-config | 193 |
| .github | agent-config | 6 |
| docs | docs | 68 |
The agent reads
- docs/_bcos-framework/guides/folder-conventions.md evidence: CLAUDE.md
- docs/_inbox/ evidence: README.md
The agent writes
- docs/_inbox/ evidence: CLAUDE.md
Requirements
Works with: Claude Code, OpenCode
Set it up
This brain runs code automatically: 5 hooks (claude-code), 1 script. Review .claude/settings.json, install.sh before opening the folder in Claude Code. No step below turns a hook on for you.
.claude/settings.json:bash "$CLAUDE_PROJECT_DIR/.claude/hooks/auto_save_session.sh".claude/settings.json:bash "$CLAUDE_PROJECT_DIR/.claude/hooks/precompact_save.sh".claude/settings.json:"$CLAUDE_PROJECT_DIR/.claude/bin/python3" "$CLAUDE_PROJECT_DIR/.claude/hooks/post_edit_frontmatter_check.py".claude/settings.json:"$CLAUDE_PROJECT_DIR/.claude/bin/python3" "$CLAUDE_PROJECT_DIR/.claude/hooks/post_edit_frontmatter_check.py".claude/settings.json:"$CLAUDE_PROJECT_DIR/.claude/bin/python3" "$CLAUDE_PROJECT_DIR/.claude/hooks/post_commit_context_check.py"install.sh:sh install.sh
Clone the repository at the commit AutoGineer scanned:
git clone https://github.com/walm00/business-context-os.git && cd business-context-os && git checkout 463568372f31f24fa6c01121c38f989845ca7c84Claude Code reads CLAUDE.md from this folder automatically.
cd business-context-os && claude
AutoGineer scanned these files at commit 4635683.
First committed by walm00. Published in walm00/business-context-os. Licence: MIT License.
Usage
AutoGineer overview, from the brain’s own files
- Automating the maintenance of project documentation and SOPs.
- Providing AI agents with a reliable, freshness-aware knowledge base.
- Managing ownership boundaries across large, multi-topic documentation sets.
- Syncing and auditing context across linked documents to prevent drift.
- Generating daily digests of system health and pending maintenance tasks.
- “Install BCOS from https://github.com/walm00/business-context-os and walk me through onboarding.”
- Claude clones the repository, sets up the environment, and guides the user through an interactive onboarding process to configure the context architecture.
- “/context bundle market-report:write”
- The agent retrieves a curated, freshness-aware package of context specifically relevant to writing a market report.
- “Run the audit twice a week.”
- The dispatcher updates the maintenance schedule to perform an audit of the knowledge base on a bi-weekly cadence.
- “/wiki run https://stripe.com/docs/api”
- The system fetches the URL, summarizes the content, and creates a cited wiki entry within the knowledge base.
Documentation by walm00
<p align="center"> <h1 align="center">CLEAR Context OS</h1> <p align="center"> <strong>Knowledge that maintains itself —</strong><br> so your AI doesn't act on what was true last month. </p> <p align="center"> <a href="#install">Install</a> · <a href="#what-it-does">What it does</a> · <a href="#the-wiki-zone">Wiki zone</a> · <a href="#what-ships">What ships</a> · <a href="docs/_bcos-framework/guides/getting-started.md">Getting Started</a> </p> <p align="center"> <img src="https://img.shields.io/badge/claude_code-ready-blueviolet" alt="Claude Code"> <img src="https://img.shields.io/badge/methodology-CLEAR-green" alt="CLEAR Methodology"> <img src="https://img.shields.io/badge/install-one_command-success" alt="One-command install"> <img src="https://img.shields.io/badge/skills-17-blue" alt="17 skills"> <img src="https://img.shields.io/badge/maintenance_jobs-12-orange" alt="12 maintenance jobs"> <img src="https://img.shields.io/badge/license-MIT-lightgrey" alt="MIT"> </p> </p>
Your AI had perfect context — two weeks ago. Then your strategy shifted, three meetings redefined priorities, and the docs you wrote on Monday are wrong by Friday. CLEAR Context OS is the maintenance layer your second brain never had: ownership boundaries enforced mechanically, staleness surfaced on a schedule, drift propagated across linked docs, a dispatcher that learns from your clicks. One source of truth per topic. Searchable. Task-aware. Never silently stale.
Install
Easiest — let Claude do it. Open Claude Code in any directory and paste:
"Install BCOS from https://github.com/walm00/business-context-os and walk me through onboarding."
Claude clones the repo, picks the right install path for your platform (Windows/macOS/Linux), runs setup, and steps straight into onboarding. No prereq checks to debug — if something's missing, Claude resolves it interactively.
Or manually, two commands:
curl -fsSL https://raw.githubusercontent.com/walm00/business-context-os/main/install.sh -o /tmp/bcos-install.sh
bash /tmp/bcos-install.sh(Requires bash, curl, and tar on PATH — fine on macOS/Linux and on Windows under WSL or Git Bash. Two steps instead of a single bash <(curl …) pipe so Claude Code's permission gate auto-approves both commands — you don't need to drop out to a terminal.)
Drop anything you already have — SOPs, brand docs, meeting notes, exports — into docs/_inbox/ (skip if you're starting fresh). Then open Claude Code in that repo and say:
"Launch BCOS onboarding."
That's the only prompt you need. Onboarding inspects your inbox, scans the rest of the repo, asks one Q&A round, and proposes the architecture for review. Works the same whether the repo is fresh or already full of context.
From zero to running
INSTALL → DISCOVER → ALIGN → SCHEDULE → RUNNING| # | Step | What happens |
|---|---|---|
| 1 | Install | One bash line drops the framework into any repo |
| 2 | Discover | Claude scans your repo + any MCP you've connected (Drive, Notion, Slack, Gmail, your CRM — whatever's wired in) for existing context, plus anything you've dropped into docs/_inbox/ |
| 3 | Align | One Q&A round — project type, key sources, ownership boundaries. Architecture drafted for your review |
| 4 | Schedule | Pick maintenance cadence in plain English: "audit twice a week", "dispatcher at 08:30", "deep daydream off" |
| 5 | Running | Daily digest. Local dashboard. /context bundle <task> ready. Context compounds from here — the system maintains itself. |
Simple, guided, automatic. Claude walks you through each step — you review, you decide. Nothing deleted along the way — originals preserved or archived, never silently overwritten.
What it does
Stops context rot in three ways:
| What it does | |
|---|---|
| Organize | Every doc declares what it owns. CLEAR boundaries prevent the same fact living in 5 places. |
| Maintain | Scheduled jobs check freshness, surface stale docs, propagate updates across linked content. |
| Use | /context search and /context bundle <task> give Claude curated, freshness-aware, source-of-truth-ranked context for the job at hand. |
The folder tells the LLM what to trust. Claude reads the path before the content: docs/*.md = canonical, _planned/ = not yet real, _archive/ = history, _inbox/ = unprocessed, _collections/ = verbatim evidence, _wiki/ = explanatory. The hierarchy is the trust signal — fewer tokens spent re-deciding, no chance of treating an archived draft as today's truth.
docs/
├── *.md ← canonical data points (one source of truth per topic)
├── document-index.md ← auto-generated TOC
├── current-state.md ← what's true right now + what changed recently
├── table-of-context.md ← high-level cluster map for orientation
├── _inbox/ ← drop zone — Claude triages on demand
├── _planned/ ← polished ideas, not yet real
├── _archive/ ← superseded — kept, not deleted
├── _collections/ ← verbatim evidence (invoices, contracts, transcripts)
│ └── <type>/_manifest.md (each collection has a manifest)
├── _wiki/ ← derivative knowledge (how-tos, source summaries)
│ ├── pages/ ← user-authored explainers
│ ├── source-summary/ ← external captures with citation banners
│ ├── raw/ ← original artifacts (PDFs, HTML)
│ └── queue.md ← URLs awaiting fetch
└── _bcos-framework/ ← framework docs — never user content
├── architecture/ ← 12 zone + system architecture docs
├── methodology/ ← 5 CLEAR + ownership + standards docs
├── patterns/ ← 8 project-type starting templates
└── templates/ ← 15 frontmatter / schema / starter filesThe wiki zone
Inspired by Karpathy's LLM Wiki approach — give the LLM a wiki of your knowledge, the way you'd brief a smart new hire.
Save anything to the wiki, from anywhere:
/wiki run https://stripe.com/docs/api ← fetch a URL, summarize, cite
/wiki create from /Users/me/Downloads/spec.pdf ← extract a PDF, link to the binary
/wiki promote docs/_inbox/meeting-notes.md ← turn an inbox capture into a wiki pageThe wiki holds how-tos, runbooks, glossaries, source summaries, post-mortems, decision logs — derivative knowledge that explains and supports your canonical data points. Every page cites what it builds on. Stale pages surface automatically when their sources advance.
Wiki content is searchable alongside the rest of your context:
/context search "stripe billing" ← cross-zone search, ranked by source-of-truth
/context bundle market-report:write ← curated bundle for a specific taskThe dashboard
A local cockpit at http://127.0.0.1:8091 that shows your system at a glance — no third-party services, no telemetry, no logins.
Image: BCOS dashboard cockpit — knowledge system status, things waiting on you, maintenance routine
python .claude/scripts/bcos-dashboard/run.py| Surface | What you see |
|---|---|
| Cockpit | One-line status (healthy / N waiting / heads-up). Per-job dot strip for every maintenance job (core BCOS + wiki zone). |
| Update | "Run full sync" button → update.py + CLAUDE.md drift review + auto-commit + push, with a live log drawer. |
Schedules (/settings/schedules) | Per-job preset buttons (daily, mon_wed_fri, weekly_mon, off) + the global auto-commit toggle + auto-fix whitelist. Saves directly to schedule-config.json. |
Run history (/settings/runs) | Last 20 dispatcher runs with filter chips (job / verdict / trigger). |
File health (/settings/files) | Frontmatter / cross-reference / staleness findings with one-click fixes. |
The dashboard is read-mostly: data flows from the dispatcher's diary, the schedule config, and the canonical context index. Writes (mark-done, schedule preset, auto-commit toggle, file fix) go through dedicated POST endpoints.
Requirements
Claude Code (desktop app, CLI, or web)
Python 3.8+ on
PATHbash (default macOS bash 3.2 is fine)
Updating
python .claude/scripts/update.pyRefreshes framework files only — skills, hooks, scripts, templates. Your docs/ and .private/ are never touched.
Maintenance
One scheduled task per repo. The dispatcher reads schedule-config.json, runs the jobs due today, writes one consolidated digest at docs/_inbox/daily-digest.md, and surfaces findings as one-click cards in the dashboard.
You can tune any of it in plain English:
"Run the audit twice a week." · "Move dispatcher to 08:30." · "Turn off deep daydream."
The system learns from your clicks. After three consistent uses of the same fix, the dashboard pre-selects it as a "✨ suggested" action — you accept or reject. Reversals trigger an automatic safety brake.
CLEAR — the methodology
Five principles, one rule each:
C — Contextual Ownership · one document owns each topic. No duplicates.
L — Linking · reference sources; don't copy them.
E — Elimination · consolidate; don't keep two versions.
A — Alignment · context that doesn't support decisions doesn't belong.
R — Refinement · structured maintenance, not ad-hoc fixes.
The whole framework is the mechanical implementation of these five rules.
What ships
Everything below installs as one repo drop-in. No third-party services, no logins, no telemetry — all state lives in your .claude/ and docs/ folders.
| Layer | Count | Examples |
|---|---|---|
| Skills (chat-invokable via slash command) | 17 | clear-planner · bcos-wiki · context-routing · context-audit · context-ingest · daydream · learning · schedule-tune · lessons-consolidate · ecosystem-manager |
| Sub-agents (delegated bounded tasks) | 3 | wiki-fetch · explore · plus one optional |
| Scripts (mechanical Python) | 46 | lifecycle_sweep · run_wiki_* (5) · cmd_wiki_* (7) · auto_fix_audit · bcos_inventory · digest_sidecar · record_resolution |
| Hooks (auto-validation on edit) | 4 | post-edit frontmatter check · post-commit context check · pre-compact save · auto-save session |
| Maintenance jobs (scheduled, one dispatcher) | 12 | index-health · audit-inbox · daydream-lessons · daydream-deep · architecture-review · auto-fix-audit · lifecycle-sweep · wiki-stale-propagation · wiki-source-refresh · wiki-graveyard · wiki-coverage-audit · wiki-canonical-drift |
| Auto-fix IDs (silent dispatcher fixes) | 12 | missing-last-updated · eof-newline · frontmatter-field-order · wiki-mark-queue-ingested · wiki-archive-expired-post-mortem |
| Architecture docs | 12 | wiki-zone.md · lifecycle-routing.md · typed-events.md · context-zones.md · content-routing.md · wiki-headless-scripts.md |
| Methodology docs | 5 | CLEAR principles · context architecture · decision framework · document standards · ownership specification |
| Project patterns (starting templates by project type) | 8 | client-project · gtm · marketing · operational · product-development · product-service · internal-tool-app · internal-tool-automation |
| Templates (frontmatter, schema, starters) | 15 | data-point · cluster · current-state · table-of-context · wiki-schema · wiki-config · session-diary-starter |
Every script and skill is documented at the source. Every job has a reference doc under .claude/skills/schedule-dispatcher/references/job-*.md. Every typed-event finding maps to a renderer in the dashboard cockpit. Adding a new check means dropping a cmd_*.py or run_*.py, registering it in one map, and the dashboard picks it up.
Contributing
Contributions welcome — open an issue or submit a PR targeting the dev branch. CI runs frontmatter, reference, and ecosystem-integration checks on every PR.
The fastest contribution path is lessons learned. As you use the system it captures insights; if you find one universal, contribute it back.
Origin
Built by Guntis Coders after two years of operating context systems in production. The CLEAR methodology emerged from a practical problem: AI context degrades silently, and no amount of one-time documentation prevents it. The solution required a system — ownership boundaries, automated maintenance, self-learning, and structured reflection.
Background: What is the Table of Contexts and why does it matter.
License
.claude/scripts/cross_repo_fetch.py
Shown as plain text.
#!/usr/bin/env python3
"""
Cross-repo retrieval fetch helper.
Resolves the umbrella registration in `.bcos-umbrella.json`, reads the umbrella's
`projects.json`, and loads each sibling repo's `.claude/quality/context-index.json`.
Returns a structured payload for `context_search.py` / `context_bundle.py` to merge.
D-10 strict (framework default unchanged): this helper NEVER fires implicitly.
The calling script decides whether to invoke it based on:
- explicit `--cross-repo` flag, OR
- `.bcos-umbrella.json.retrieval.auto_fallthrough: true` (per-portfolio opt-in)
Contract: see `docs/_bcos-framework/architecture/cross-repo-retrieval.md`.
Errors never raise. Every failure becomes a per-sibling skip with a typed reason.
The local search/bundle result is always returned; cross-repo is purely additive.
Usage:
from cross_repo_fetch import (
load_umbrella_config, fetch_sibling_corpora, should_fall_through
)
cfg = load_umbrella_config(REPO_ROOT)
if cfg.auto_fallthrough:
result = fetch_sibling_corpora(cfg, cap=cfg.max_sibling_hops,
per_sibling_timeout_ms=1000)
for sibling in result.siblings:
... # run ranker against sibling.docs, prefix citations with sibling.id
"""
from __future__ import annotations
import fnmatch
import json
import time
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any
SUPPORTED_PROJECTS_SCHEMA_VERSIONS = {1}
SUPPORTED_UMBRELLA_SCHEMA_VERSIONS = {1}
# Cross-repo peek fires when ANY signal in this list applies to the local result.
# Defaults to ['zero-hit', 'low-coverage']: peek when local has nothing OR when
# local has hits but doesn't cover all query terms. Other valid signals:
# 'low-tier' (top hit T2 or below) and 'unsatisfied-zone-requirements' (bundle).
DEFAULT_MISS_SIGNALS = ["zero-hit", "low-coverage"]
DEFAULT_MAX_SIBLING_HOPS = 5
DEFAULT_PER_SIBLING_TIMEOUT_MS = 1000
# Peek strength thresholds. A peek is "strong" when exactly one sibling has at
# least `min_strong_matches` docs with any authoritative-field match AND at
# most `max_strong_rivals` other siblings have any authoritative match.
#
# Default (min=1, rivals=0): one sibling cleanly owning the topic with no rival
# is a strong signal — auto-fetch. Multiple siblings competing → marginal,
# surface as a suggestion. Tune per portfolio if defaults are too aggressive.
DEFAULT_PEEK_MIN_STRONG_MATCHES = 1
DEFAULT_PEEK_MAX_STRONG_RIVALS = 0
# Fields scanned by the peek. Split into "authoritative" (strongest signals of
# topic ownership) and "supporting" (still informative, but weaker).
PEEK_AUTHORITATIVE_FIELDS = ("name", "filename", "exclusively_owns", "page_type")
PEEK_SUPPORTING_FIELDS = ("tags", "headings", "cluster")
@dataclass
class UmbrellaConfig:
"""Parsed view of the local repo's .bcos-umbrella.json."""
present: bool
umbrella_id: str | None = None
umbrella_path: Path | None = None
node_id: str | None = None
node_role: str | None = None
extra_exposes: list[str] = field(default_factory=list)
retrieval_block_present: bool = False
auto_fallthrough: bool = False
miss_signals: list[str] = field(default_factory=lambda: list(DEFAULT_MISS_SIGNALS))
max_sibling_hops: int = DEFAULT_MAX_SIBLING_HOPS
per_sibling_timeout_ms: int = DEFAULT_PER_SIBLING_TIMEOUT_MS
peek_min_strong_matches: int = DEFAULT_PEEK_MIN_STRONG_MATCHES
peek_max_strong_rivals: int = DEFAULT_PEEK_MAX_STRONG_RIVALS
load_error: str | None = None
@dataclass
class SiblingPeek:
"""One sibling's metadata-only peek result for a query.
Holds enough info for the calling agent to decide whether to deep-fetch
or surface as a suggestion. NOT a ranked hit list — see SiblingCorpus
for the deep-fetch payload.
"""
id: str
match_count: int # total matching docs across all peek fields
authoritative_match_count: int # subset: matches in authoritative fields
top_citations: list[str] # up to 3 citation-ids, prefixed with sibling-id
reasons: list[str] # heuristic labels ("title-match", "tag-match", ...)
@dataclass
class PeekResult:
"""Aggregate peek output across all siblings."""
umbrella_id: str | None
siblings: list[SiblingPeek] = field(default_factory=list)
skipped: list["SiblingSkip"] = field(default_factory=list)
fatal: str | None = None
@dataclass
class SiblingCorpus:
"""One sibling's filtered context-index corpus, ready for ranking."""
id: str
path: Path
docs: list[dict[str, Any]]
took_ms: int
@dataclass
class SiblingSkip:
"""One sibling we couldn't query, with a typed reason."""
id: str | None
reason: str
detail: str = ""
@dataclass
class FetchResult:
"""Aggregate result returned to the caller (search/bundle)."""
umbrella_id: str | None
siblings: list[SiblingCorpus] = field(default_factory=list)
skipped: list[SiblingSkip] = field(default_factory=list)
fatal: str | None = None
def load_umbrella_config(repo_root: Path) -> UmbrellaConfig:
"""Read `.bcos-umbrella.json` from `repo_root`. Never raises.
Returns UmbrellaConfig with `present=False` if the file is absent or
cannot be parsed. The caller checks `present` (and optionally `load_error`)
before any cross-repo work.
"""
umbrella_file = repo_root / ".bcos-umbrella.json"
if not umbrella_file.is_file():
return UmbrellaConfig(present=False)
try:
data = json.loads(umbrella_file.read_text(encoding="utf-8"))
except (OSError, ValueError) as exc:
return UmbrellaConfig(
present=False,
load_error=f"{type(exc).__name__}: {exc}",
)
schema = data.get("schemaVersion")
if schema not in SUPPORTED_UMBRELLA_SCHEMA_VERSIONS:
return UmbrellaConfig(
present=False,
load_error=f"unsupported umbrella schemaVersion: {schema!r}",
)
umbrella_block = data.get("umbrella") or {}
node_block = data.get("node") or {}
shared_block = data.get("shared_context") or {}
retrieval_block = data.get("retrieval") or {}
umbrella_path_str = umbrella_block.get("path")
umbrella_path = (repo_root / umbrella_path_str).resolve() if umbrella_path_str else None
extra_exposes = [str(x) for x in (shared_block.get("extra_exposes") or [])]
miss_signals = retrieval_block.get("miss_signals")
if not isinstance(miss_signals, list) or not miss_signals:
miss_signals = list(DEFAULT_MISS_SIGNALS)
else:
miss_signals = [str(s) for s in miss_signals]
max_hops = retrieval_block.get("max_sibling_hops", DEFAULT_MAX_SIBLING_HOPS)
try:
max_hops = int(max_hops)
except (TypeError, ValueError):
max_hops = DEFAULT_MAX_SIBLING_HOPS
if max_hops < 0:
max_hops = 0
timeout = retrieval_block.get("per_sibling_timeout_ms", DEFAULT_PER_SIBLING_TIMEOUT_MS)
try:
timeout = int(timeout)
except (TypeError, ValueError):
timeout = DEFAULT_PER_SIBLING_TIMEOUT_MS
if timeout < 0:
timeout = DEFAULT_PER_SIBLING_TIMEOUT_MS
min_strong = retrieval_block.get("peek_min_strong_matches", DEFAULT_PEEK_MIN_STRONG_MATCHES)
try:
min_strong = int(min_strong)
except (TypeError, ValueError):
min_strong = DEFAULT_PEEK_MIN_STRONG_MATCHES
if min_strong < 1:
min_strong = 1
max_rivals = retrieval_block.get("peek_max_strong_rivals", DEFAULT_PEEK_MAX_STRONG_RIVALS)
try:
max_rivals = int(max_rivals)
except (TypeError, ValueError):
max_rivals = DEFAULT_PEEK_MAX_STRONG_RIVALS
if max_rivals < 0:
max_rivals = 0
return UmbrellaConfig(
present=True,
umbrella_id=umbrella_block.get("id"),
umbrella_path=umbrella_path,
node_id=node_block.get("id"),
node_role=node_block.get("role"),
extra_exposes=extra_exposes,
retrieval_block_present=bool(data.get("retrieval")),
auto_fallthrough=bool(retrieval_block.get("auto_fallthrough", False)),
miss_signals=miss_signals,
max_sibling_hops=max_hops,
per_sibling_timeout_ms=timeout,
peek_min_strong_matches=min_strong,
peek_max_strong_rivals=max_rivals,
)
def should_fall_through(
*,
cfg: UmbrellaConfig,
local_result: dict[str, Any],
explicit_flag: bool | None,
) -> tuple[bool, str]:
"""Decide whether to invoke cross-repo fallthrough.
Returns (should, trigger-label).
`explicit_flag`:
- True → force on (`--cross-repo`)
- False → force off (`--no-cross-repo`)
- None → use config
Rules (in order):
1. explicit_flag is False → (False, "explicit-no")
2. .bcos-umbrella.json absent → (False, "no-umbrella-file")
3. explicit_flag is True → (True, "explicit-flag")
4. retrieval block absent / auto_fallthrough False → (False, "not-opted-in")
5. local result does NOT meet miss signals → (False, "local-not-miss")
6. local result meets miss signals → (True, "auto-fallthrough")
"""
if explicit_flag is False:
return False, "explicit-no"
if not cfg.present:
return False, "no-umbrella-file"
if explicit_flag is True:
return True, "explicit-flag"
if not cfg.retrieval_block_present or not cfg.auto_fallthrough:
return False, "not-opted-in"
if not _meets_miss_signals(local_result, cfg.miss_signals):
return False, "local-not-miss"
return True, "auto-fallthrough"
def is_local_insufficient(
local_result: dict[str, Any],
signals: list[str],
) -> tuple[bool, str]:
"""Public wrapper around miss-signal evaluation.
Returns (insufficient, first_signal_that_fired). When no signal fires,
returns (False, "local-sufficient"). Used by the cross-repo gate to
decide whether to peek at siblings.
Signals are OR-ed: if ANY signal in `signals` applies, the local result
is considered insufficient. Rationale: the user's portfolio intent is
"this task really needs something thats missing here" — even partial
local coverage should be augmentable from siblings.
"""
for signal in signals:
if _evaluate_signal(signal, local_result):
return True, signal
return False, "local-sufficient"
def _meets_miss_signals(local_result: dict[str, Any], signals: list[str]) -> bool:
"""Compatibility wrapper. See `is_local_insufficient` for the canonical API."""
insufficient, _ = is_local_insufficient(local_result, signals)
return insufficient
def _evaluate_signal(signal: str, local_result: dict[str, Any]) -> bool:
"""Return True iff `signal` applies to `local_result`.
Reads from always-present hit fields (`match-tier`, `coverage`) for
tier/coverage signals. Does not require --explain. Unknown signals
return False (forward-compatible).
"""
hits = local_result.get("hits") or []
if signal == "zero-hit":
return not hits
if signal == "unsatisfied-zone-requirements":
return bool(local_result.get("unsatisfied-zone-requirements") or [])
if signal == "low-tier":
if not hits:
return False # handled by zero-hit
top = hits[0]
tier_str = top.get("match-tier") or (top.get("score-breakdown") or {}).get("match-tier")
if not tier_str:
return False
try:
return int(str(tier_str).lstrip("T")) <= 2
except ValueError:
return False
if signal == "low-coverage":
if not hits:
return False # handled by zero-hit
top = hits[0]
coverage = top.get("coverage")
if coverage is None:
coverage = (top.get("score-breakdown") or {}).get("coverage")
if coverage is None:
return False
return coverage < 1.0
return False
def fetch_sibling_corpora(
cfg: UmbrellaConfig,
*,
cap: int | None = None,
per_sibling_timeout_ms: int | None = None,
) -> FetchResult:
"""Resolve umbrella, read projects.json, load each sibling's context-index.
Never raises. Per-sibling failures become entries in `result.skipped`.
Umbrella-level failures (path missing, projects.json malformed) become
`result.fatal` and `result.siblings` is empty.
Args:
cfg: parsed UmbrellaConfig (from load_umbrella_config).
cap: max number of siblings to load. Defaults to cfg.max_sibling_hops.
per_sibling_timeout_ms: per-sibling wall-time budget. Defaults to
cfg.per_sibling_timeout_ms.
"""
cap = cap if cap is not None else cfg.max_sibling_hops
timeout_ms = per_sibling_timeout_ms if per_sibling_timeout_ms is not None else cfg.per_sibling_timeout_ms
result = FetchResult(umbrella_id=cfg.umbrella_id)
if not cfg.present:
result.fatal = "no-umbrella-file"
return result
if cfg.umbrella_path is None:
result.fatal = "no-umbrella-path"
return result
umbrella_root = cfg.umbrella_path
if not umbrella_root.is_dir():
result.fatal = f"unreachable:{umbrella_root}"
return result
projects_file = umbrella_root / "projects.json"
if not projects_file.is_file():
result.fatal = f"projects.json-missing:{projects_file}"
return result
try:
projects_data = json.loads(projects_file.read_text(encoding="utf-8"))
except (OSError, ValueError) as exc:
result.fatal = f"projects.json-malformed: {type(exc).__name__}: {exc}"
return result
schema = projects_data.get("schemaVersion")
if schema not in SUPPORTED_PROJECTS_SCHEMA_VERSIONS:
result.fatal = f"unsupported-schema-version:{schema!r}"
return result
projects = projects_data.get("projects") or []
if not isinstance(projects, list):
result.fatal = "projects.json-malformed:projects-not-list"
return result
loaded = 0
for project in projects:
if not isinstance(project, dict):
result.skipped.append(SiblingSkip(id=None, reason="malformed-project-entry"))
continue
project_id = project.get("id")
if not project_id:
result.skipped.append(SiblingSkip(id=None, reason="missing-id"))
continue
if project_id == cfg.node_id:
# Skip self — never query our own corpus as a sibling.
continue
if loaded >= cap:
result.skipped.append(SiblingSkip(id=project_id, reason="hop-cap-exceeded"))
continue
project_path_str = project.get("path")
if not project_path_str:
result.skipped.append(SiblingSkip(id=project_id, reason="missing-path"))
continue
sibling_root = (umbrella_root / project_path_str).resolve()
if not sibling_root.is_dir():
result.skipped.append(SiblingSkip(id=project_id, reason="unreachable", detail=str(sibling_root)))
continue
corpus = _load_sibling_corpus(
sibling_id=project_id,
sibling_root=sibling_root,
exposes=list(project.get("exposes") or []),
extra_exposes_per_sibling=cfg.extra_exposes if project_id == cfg.node_id else [],
timeout_ms=timeout_ms,
)
if isinstance(corpus, SiblingSkip):
result.skipped.append(corpus)
else:
result.siblings.append(corpus)
loaded += 1
return result
def _load_sibling_corpus(
*,
sibling_id: str,
sibling_root: Path,
exposes: list[str],
extra_exposes_per_sibling: list[str],
timeout_ms: int,
) -> SiblingCorpus | SiblingSkip:
"""Read one sibling's context-index.json, filter by exposes, time-bounded.
Returns SiblingCorpus on success, SiblingSkip on any failure.
"""
started = time.monotonic()
index_path = sibling_root / ".claude" / "quality" / "context-index.json"
if not index_path.is_file():
return SiblingSkip(id=sibling_id, reason="no-index", detail=str(index_path))
try:
index_data = json.loads(index_path.read_text(encoding="utf-8"))
except (OSError, ValueError) as exc:
return SiblingSkip(
id=sibling_id,
reason="malformed-index",
detail=f"{type(exc).__name__}: {exc}",
)
docs = index_data.get("docs") or []
if not isinstance(docs, list):
return SiblingSkip(id=sibling_id, reason="malformed-index", detail="docs-not-list")
# Merge per-project exposes with this-sibling-side extra_exposes (rare).
all_exposes = list(exposes) + list(extra_exposes_per_sibling)
if all_exposes:
filtered = _filter_by_exposes(docs, all_exposes)
if not filtered:
return SiblingSkip(id=sibling_id, reason="exposes-empty")
else:
filtered = docs
took_ms = int((time.monotonic() - started) * 1000)
if took_ms > timeout_ms:
return SiblingSkip(
id=sibling_id,
reason="timeout",
detail=f"took {took_ms}ms > budget {timeout_ms}ms",
)
return SiblingCorpus(id=sibling_id, path=sibling_root, docs=filtered, took_ms=took_ms)
def _filter_by_exposes(docs: list[dict[str, Any]], exposes: list[str]) -> list[dict[str, Any]]:
"""Return docs whose `path` matches any glob in `exposes`.
Globs are matched with fnmatch against the doc's `path` field (the index's
canonical doc-path under the sibling repo root).
"""
out: list[dict[str, Any]] = []
for doc in docs:
path = doc.get("path") or ""
if not path:
continue
for pattern in exposes:
if fnmatch.fnmatch(path, pattern):
out.append(doc)
break
return out
# ---------------------------------------------------------------------------
# Peek (cheap metadata-only scan, no BM25)
# ---------------------------------------------------------------------------
def peek_sibling_corpora(
cfg: UmbrellaConfig,
query_tokens: list[str],
*,
cap: int | None = None,
per_sibling_timeout_ms: int | None = None,
) -> PeekResult:
"""Cheap metadata-only scan across siblings. No BM25, no body text, no LLM.
For each sibling, walk their context-index.json docs and count how many
have ANY query token in any of the configured peek fields. Split counts
into 'authoritative' (title / filename / exclusively_owns / page_type)
vs 'supporting' (tags / headings / cluster). Return a SiblingPeek per
sibling with match counts + top-3 citations + heuristic reasons.
Never raises. Per-sibling I/O failures become typed SiblingSkip entries.
The umbrella-level failure modes mirror fetch_sibling_corpora.
"""
cap = cap if cap is not None else cfg.max_sibling_hops
timeout_ms = per_sibling_timeout_ms if per_sibling_timeout_ms is not None else cfg.per_sibling_timeout_ms
result = PeekResult(umbrella_id=cfg.umbrella_id)
if not cfg.present:
result.fatal = "no-umbrella-file"
return result
if cfg.umbrella_path is None:
result.fatal = "no-umbrella-path"
return result
umbrella_root = cfg.umbrella_path
if not umbrella_root.is_dir():
result.fatal = f"unreachable:{umbrella_root}"
return result
projects_file = umbrella_root / "projects.json"
if not projects_file.is_file():
result.fatal = f"projects.json-missing:{projects_file}"
return result
try:
projects_data = json.loads(projects_file.read_text(encoding="utf-8"))
except (OSError, ValueError) as exc:
result.fatal = f"projects.json-malformed: {type(exc).__name__}: {exc}"
return result
schema = projects_data.get("schemaVersion")
if schema not in SUPPORTED_PROJECTS_SCHEMA_VERSIONS:
result.fatal = f"unsupported-schema-version:{schema!r}"
return result
projects = projects_data.get("projects") or []
if not isinstance(projects, list):
result.fatal = "projects.json-malformed:projects-not-list"
return result
# Normalize query tokens once.
qset = {t.lower() for t in query_tokens if t}
if not qset:
return result # nothing to peek for
loaded = 0
for project in projects:
if not isinstance(project, dict):
result.skipped.append(SiblingSkip(id=None, reason="malformed-project-entry"))
continue
project_id = project.get("id")
if not project_id:
result.skipped.append(SiblingSkip(id=None, reason="missing-id"))
continue
if project_id == cfg.node_id:
continue # skip self
if loaded >= cap:
result.skipped.append(SiblingSkip(id=project_id, reason="hop-cap-exceeded"))
continue
project_path_str = project.get("path")
if not project_path_str:
result.skipped.append(SiblingSkip(id=project_id, reason="missing-path"))
continue
sibling_root = (umbrella_root / project_path_str).resolve()
if not sibling_root.is_dir():
result.skipped.append(SiblingSkip(id=project_id, reason="unreachable", detail=str(sibling_root)))
continue
peek = _peek_one_sibling(
sibling_id=project_id,
sibling_root=sibling_root,
exposes=list(project.get("exposes") or []),
qset=qset,
timeout_ms=timeout_ms,
)
if isinstance(peek, SiblingSkip):
result.skipped.append(peek)
else:
result.siblings.append(peek)
loaded += 1
return result
def _peek_one_sibling(
*,
sibling_id: str,
sibling_root: Path,
exposes: list[str],
qset: set[str],
timeout_ms: int,
) -> SiblingPeek | SiblingSkip:
"""Read one sibling's context-index.json and tally metadata matches. Never raises."""
started = time.monotonic()
index_path = sibling_root / ".claude" / "quality" / "context-index.json"
if not index_path.is_file():
return SiblingSkip(id=sibling_id, reason="no-index", detail=str(index_path))
try:
index_data = json.loads(index_path.read_text(encoding="utf-8"))
except (OSError, ValueError) as exc:
return SiblingSkip(
id=sibling_id, reason="malformed-index",
detail=f"{type(exc).__name__}: {exc}",
)
docs = index_data.get("docs") or []
if not isinstance(docs, list):
return SiblingSkip(id=sibling_id, reason="malformed-index", detail="docs-not-list")
if exposes:
docs = _filter_by_exposes(docs, exposes)
# Per-doc: which query tokens hit which fields?
doc_hits: list[tuple[dict[str, Any], int, set[str]]] = []
# (doc, authoritative_hit_count, reasons_set)
for doc in docs:
auth_hits, supp_hits, reasons = _count_metadata_matches(doc, qset)
if auth_hits + supp_hits == 0:
continue
# Sort key: authoritative matches first, then total matches
doc_hits.append((doc, auth_hits, reasons))
if not doc_hits:
# No matches at all — still return a SiblingPeek with zero counts so
# peek_strength can distinguish "queried but empty" from "couldn't query".
took_ms = int((time.monotonic() - started) * 1000)
if took_ms > timeout_ms:
return SiblingSkip(id=sibling_id, reason="timeout", detail=f"took {took_ms}ms")
return SiblingPeek(
id=sibling_id, match_count=0, authoritative_match_count=0,
top_citations=[], reasons=[],
)
# Rank: authoritative matches first, then total matches, then path stability
doc_hits.sort(key=lambda t: (-t[1], -(t[1] + len(t[2])), (t[0].get("path") or "")))
top_citations = [_peek_citation_id(sibling_id, d) for d, _, _ in doc_hits[:3]]
all_reasons: list[str] = []
seen_reasons: set[str] = set()
for _doc, _auth, reasons in doc_hits:
for r in sorted(reasons):
if r not in seen_reasons:
seen_reasons.add(r)
all_reasons.append(r)
auth_total = sum(1 for _, a, _ in doc_hits if a > 0)
took_ms = int((time.monotonic() - started) * 1000)
if took_ms > timeout_ms:
return SiblingSkip(id=sibling_id, reason="timeout", detail=f"took {took_ms}ms")
return SiblingPeek(
id=sibling_id,
match_count=len(doc_hits),
authoritative_match_count=auth_total,
top_citations=top_citations,
reasons=all_reasons,
)
def _count_metadata_matches(
doc: dict[str, Any],
qset: set[str],
) -> tuple[int, int, set[str]]:
"""Count how many query tokens hit authoritative vs supporting fields.
Returns (authoritative_count, supporting_count, reasons_set).
"""
auth_hits = 0
supp_hits = 0
reasons: set[str] = set()
for field in PEEK_AUTHORITATIVE_FIELDS:
if _field_contains_any_token(doc, field, qset):
auth_hits += 1
reasons.add(f"{field}-match")
for field in PEEK_SUPPORTING_FIELDS:
if _field_contains_any_token(doc, field, qset):
supp_hits += 1
reasons.add(f"{field}-match")
return auth_hits, supp_hits, reasons
def _field_contains_any_token(doc: dict[str, Any], field: str, qset: set[str]) -> bool:
"""True iff any token in qset appears (as a substring) in the doc's `field`."""
value = doc.get(field)
if value is None:
return False
if isinstance(value, str):
haystack = value.lower()
return any(t in haystack for t in qset)
if isinstance(value, list):
for item in value:
if isinstance(item, str) and any(t in item.lower() for t in qset):
return True
return False
return False
def _peek_citation_id(sibling_id: str, doc: dict[str, Any]) -> str:
"""Build `<sibling-id>:<zone>:<slug>` citation for a peek result."""
zone = doc.get("zone") or "unknown"
path = (doc.get("path") or "").replace("\\", "/")
rel = path[len("docs/"):] if path.startswith("docs/") else path
if rel.startswith("_") and "/" in rel:
rel = rel.split("/", 1)[1]
if rel.endswith(".md"):
rel = rel[:-3]
if not rel:
rel = (doc.get("filename") or "").rsplit(".", 1)[0]
return f"{sibling_id}:{zone}:{rel}"
def peek_strength(
peek_result: PeekResult,
cfg: UmbrellaConfig,
) -> tuple[str, str | None]:
"""Classify a peek result as 'strong' / 'marginal' / 'none'.
Returns (label, winner_sibling_id_or_None). The winner is set only on
'strong': it's the sibling-id that triggered the deep-fetch decision.
Strong = exactly one sibling has >= cfg.peek_min_strong_matches in
authoritative fields AND at most cfg.peek_max_strong_rivals
OTHER siblings have any authoritative match.
Marginal = at least one sibling has >=1 match (any field) but doesn't
meet strong.
None = no sibling has any match at all.
"""
siblings = peek_result.siblings
if not siblings:
return "none", None
any_matches = [s for s in siblings if s.match_count > 0]
if not any_matches:
return "none", None
# Strong candidates: enough authoritative matches.
strong_candidates = [
s for s in any_matches
if s.authoritative_match_count >= cfg.peek_min_strong_matches
]
rivals_with_authority = [s for s in any_matches if s.authoritative_match_count > 0]
if len(strong_candidates) == 1:
winner = strong_candidates[0]
other_authority_count = sum(
1 for s in rivals_with_authority if s.id != winner.id
)
if other_authority_count <= cfg.peek_max_strong_rivals:
return "strong", winner.id
return "marginal", None
def peek_envelope(peek_result: PeekResult, strength: str) -> dict[str, Any]:
"""Build the `cross-repo-suggestions` envelope block for marginal/ambiguous peeks."""
return {
"peek-strength": strength,
"suggestions": [
{
"sibling-id": s.id,
"match-count": s.match_count,
"authoritative-match-count": s.authoritative_match_count,
"top-citations": s.top_citations,
"reasons": s.reasons,
}
for s in peek_result.siblings
if s.match_count > 0
],
"siblings-skipped": [
{"id": s.id, "reason": s.reason, **({"detail": s.detail} if s.detail else {})}
for s in peek_result.skipped
],
}
# ---------------------------------------------------------------------------
# Status envelope (existing)
# ---------------------------------------------------------------------------
def status_envelope(
*,
attempted: bool,
trigger: str,
fetch_result: FetchResult | None,
) -> dict[str, Any]:
"""Build the `cross-repo-status` block for the search/bundle envelope."""
envelope: dict[str, Any] = {
"attempted": attempted,
"trigger": trigger,
}
if fetch_result is None:
return envelope
envelope["umbrella-id"] = fetch_result.umbrella_id
envelope["siblings-queried"] = [
{"id": s.id, "hits": len(s.docs), "took-ms": s.took_ms}
for s in fetch_result.siblings
]
envelope["siblings-skipped"] = [
{"id": s.id, "reason": s.reason, **({"detail": s.detail} if s.detail else {})}
for s in fetch_result.skipped
]
if fetch_result.fatal:
envelope["fatal"] = fetch_result.fatal
return envelope
278 files · 9 not served here
- .claude/ECOSYSTEM-MAP.md
- .claude/agents/agent-discovery/find_agents.sh
- .claude/agents/explore/AGENT.md
- .claude/agents/wiki-fetch/AGENT.md
- .claude/bcos-profile
- .claude/bin/python3
- .claude/bin/python3.cmd
- .claude/hook_state/.gitkeep
- .claude/hooks/auto_save_session.sh
- .claude/hooks/post_commit_context_check.py
- .claude/hooks/post_edit_frontmatter_check.py (not served here)
- .claude/hooks/precompact_save.sh
- .claude/quality/atlas-ignore.json
- .claude/quality/ecosystem/config.json
- .claude/quality/ecosystem/learned-rules.json
- .claude/quality/ecosystem/learning-blocklist.json
- .claude/quality/ecosystem/lessons-schema.md
- .claude/quality/ecosystem/lessons-starter.json
- .claude/quality/ecosystem/resolutions.jsonl
- .claude/quality/lifecycle-routing.yml
- .claude/quality/schedule-config.template.json
- .claude/registries/entities.json
- .claude/registries/reference-index.json
- .claude/scripts/_claude_md.py
- .claude/scripts/_jsonl_safe.py
- .claude/scripts/_scheduled_task_cwd.py
- .claude/scripts/_schema_versions.py
- .claude/scripts/_settings_merge.py
- .claude/scripts/_settings_reconciler.py (not served here)
- .claude/scripts/_wiki_budget.py
- .claude/scripts/_wiki_fetch_contract.py
- .claude/scripts/_wiki_http.py
- .claude/scripts/_wiki_job_runner.py
- .claude/scripts/_wiki_lint.py (not served here)
- .claude/scripts/_wiki_schema_merge.py (not served here)
- .claude/scripts/_wiki_triage.py (not served here)
- .claude/scripts/_wiki_yaml.py
- .claude/scripts/analyze_crossrefs.py
- .claude/scripts/analyze_integration.py
- .claude/scripts/append_diary.py
- .claude/scripts/audit_node_configs.py
- .claude/scripts/auto_fix_audit.py
- .claude/scripts/bcos-dashboard/README.md
- .claude/scripts/bcos-dashboard/actions_resolved.py
- .claude/scripts/bcos-dashboard/atlas_collectors.py
- .claude/scripts/bcos-dashboard/atlas_ingest.py
- .claude/scripts/bcos-dashboard/atlas_layout.py
- .claude/scripts/bcos-dashboard/bcos_profile.py
- .claude/scripts/bcos-dashboard/bcos_sync.py
- .claude/scripts/bcos-dashboard/cockpit.py
- .claude/scripts/bcos-dashboard/dashboard.css
- .claude/scripts/bcos-dashboard/dashboard.html
- .claude/scripts/bcos-dashboard/dashboard.js
- .claude/scripts/bcos-dashboard/diary_grouper.py
- .claude/scripts/bcos-dashboard/digest_parser.py
- .claude/scripts/bcos-dashboard/favicon.svg
- .claude/scripts/bcos-dashboard/file_health.py
- .claude/scripts/bcos-dashboard/freshness.py
- .claude/scripts/bcos-dashboard/headless_actions.py
- .claude/scripts/bcos-dashboard/labels.py
- .claude/scripts/bcos-dashboard/learning_panel.py
- .claude/scripts/bcos-dashboard/port_assign.py
- .claude/scripts/bcos-dashboard/run.py
- .claude/scripts/bcos-dashboard/schedule_editor.py
- .claude/scripts/bcos-dashboard/server.py
- .claude/scripts/bcos-dashboard/single_repo.py
- .claude/scripts/bcos_inventory.py
- .claude/scripts/build_document_index.py
- .claude/scripts/check_python_shim_usage.py
- .claude/scripts/cmd_wiki_archive.py
- .claude/scripts/cmd_wiki_init.py
- .claude/scripts/cmd_wiki_lint.py
- .claude/scripts/cmd_wiki_queue_add.py
- .claude/scripts/cmd_wiki_remove.py
- .claude/scripts/cmd_wiki_review.py
- .claude/scripts/cmd_wiki_search.py
- .claude/scripts/consolidate_lessons.py
- .claude/scripts/context_bundle.py
- .claude/scripts/context_index.py
- .claude/scripts/context_search.py
- .claude/scripts/context_search_service.py
- .claude/scripts/cross_repo_fetch.py
- .claude/scripts/digest_sidecar.py
- .claude/scripts/ensure_wiki_zone.py
- .claude/scripts/find_lessons.py
- .claude/scripts/generate_wakeup_context.py
- .claude/scripts/install_global_permissions.py
- .claude/scripts/lifecycle_sweep.py
- .claude/scripts/load_task_profiles.py
- .claude/scripts/load_zone_registry.py
- .claude/scripts/promote_outputs.py
- .claude/scripts/promote_resolutions.py
- .claude/scripts/prune_diary.py
- .claude/scripts/prune_sessions.py
- .claude/scripts/record_daydream.py
- .claude/scripts/record_resolution.py
- .claude/scripts/refresh_ecosystem_state.py
- .claude/scripts/refresh_wiki_index.py
- .claude/scripts/reset_permissions_marker.py
- .claude/scripts/run_wiki_canonical_drift.py
- .claude/scripts/run_wiki_coverage_audit.py
- .claude/scripts/run_wiki_graveyard.py (not served here)
- .claude/scripts/run_wiki_source_refresh.py
- .claude/scripts/run_wiki_stale_propagation.py
- .claude/scripts/scan_docs_structure.py
- .claude/scripts/set_profile.sh
- .claude/scripts/update.py
- .claude/scripts/validate_frontmatter.py
- .claude/scripts/validate_permissions_catalog.py (not served here)
- .claude/scripts/validate_references.py
- .claude/scripts/validate_task_profiles.py
- .claude/scripts/wiki_failed_ingest.py
- .claude/scripts/wiki_schema.py
- .claude/settings.json
- .claude/skills/bcos-wiki/SKILL.md
- .claude/skills/bcos-wiki/archive.md
- .claude/skills/bcos-wiki/bundle.md
- .claude/skills/bcos-wiki/create.md
- .claude/skills/bcos-wiki/ingest.md
- .claude/skills/bcos-wiki/init.md
- .claude/skills/bcos-wiki/lint.md
- .claude/skills/bcos-wiki/promote.md
- .claude/skills/bcos-wiki/queue.md
- .claude/skills/bcos-wiki/references/migration-helpers.md
- .claude/skills/bcos-wiki/references/triage-confidence.md
- .claude/skills/bcos-wiki/refresh.md
- .claude/skills/bcos-wiki/remove.md
- .claude/skills/bcos-wiki/review.md
- .claude/skills/bcos-wiki/run.md
- .claude/skills/bcos-wiki/schema.md
- .claude/skills/bcos-wiki/search.md
- .claude/skills/bcos-wiki/templates/README.md.tmpl
- .claude/skills/bcos-wiki/templates/log.md.tmpl
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- .github/PULL_REQUEST_TEMPLATE.md
- .github/workflows/ci.yml
- .gitignore
- ATTRIBUTION.md
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- CODE_OF_CONDUCT.md
- CONTRIBUTING.md
- LICENSE
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- docs/_collections/.gitkeep
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- install.sh
Advantages
- Prevents context rot by surfacing stale information on a configurable schedule. evidence: README.md
- Enforces ownership boundaries to ensure one source of truth per topic. evidence: README.md
- Reduces token usage by providing a structured index that avoids redundant scanning. evidence: CLAUDE.md
- Enables task-aware context retrieval through curated bundles. evidence: README.md
Limitations
- Requires adherence to a specific folder structure and frontmatter schema to function correctly. evidence: README.md
- Maintenance jobs and dispatcher functionality rely on Python and bash being available on the host system. evidence: README.md
Security
Risk level: Medium risk
This brain runs
Agent instructions that run or fetch something (170)
.claude/agents/wiki-fetch/AGENT.md:A 100k-token URL fetched into the main thread by `/wiki run` saturates the context window before a single page lands..claude/agents/wiki-fetch/AGENT.md:| Calling skill | Subcommand | Trigger | |---|---|---| | `bcos-wiki` | `run` Pass 1 | Each URL in the queue → one `wiki-fetch` invocation | | `bcos-wiki` | `refresh` full-tier | Source-summary past `stale_threshold_days` and HEAD signals changed | | `bcos-wiki` | `promote` (Path B) | S …[+132 chars]· uses the network.claude/agents/wiki-fetch/AGENT.md:The cumulative budget guard ([`_wiki_budget.decide_dispatch_strategy`](../../scripts/_wiki_budget.py)) decides whether N sub-agents run in parallel or serial — `parallel` when projected cumulative tokens stay ≤ 80% of the main context limit;.claude/agents/wiki-fetch/AGENT.md:queue an explicit retry tag for next run | | `error.kind: fetch-error` | 4xx/5xx from upstream | Surface to user;.claude/agents/wiki-fetch/AGENT.md:`python .claude/scripts/test_wiki_fetch.py` — asserts this AGENT.md declares the documented input kinds and output fields, that the 4000-token cap is stated, that calling-skill docs reference both `wiki-fetch` and the Task tool, and that the result-schema validator + cumulative budget g …[+47 chars].claude/skills/bcos-wiki/SKILL.md:**`/wiki`** with subcommands: `init`, `init --defaults`, `run`, `queue`, `promote`, `create`, `review`, `archive`, `refresh`, `lint`, `remove`, `schema`, `search`.claude/skills/bcos-wiki/SKILL.md:"Run the wiki refresh".claude/skills/bcos-wiki/SKILL.md:| | `run [<url>]` | implemented | P3 | Path A: batch (no arg) processes all `## Pending` queue items;.claude/skills/bcos-wiki/SKILL.md:single (with URL) auto-queues + ingests | | `queue <url> [tags]` | implemented | P3 | Append URL to `## Pending` of `queue.md` without fetching | | `ingest` | shared protocol | P3 | Internal — called by `run`/`promote`/`create`;.claude/skills/bcos-wiki/SKILL.md:optionally re-pull `builds-on` data points to verify | | `archive <slug>` | implemented | P3 | Soft-delete to `_wiki/.archive/` with dangling-reference scan | | `refresh <slug>` | implemented | P3 | Path A: re-fetch a `source-summary` page (refresh-must-rediscover applies, D-05 two-tie …[+470 chars].claude/skills/bcos-wiki/SKILL.md:`run` → `run.md`.claude/skills/bcos-wiki/SKILL.md:Run `/wiki init` first."* and exit..claude/skills/bcos-wiki/SKILL.md:| Choice | Behavior | |---|---| | Init with defaults + proceed | Run `.claude/scripts/cmd_wiki_init.py` (or equivalent `ensure_wiki_zone.py` call)..claude/skills/bcos-wiki/SKILL.md:Then resume the original subcommand (`create from`, `promote`, `run`, etc.) as if the Guard had passed..claude/skills/bcos-wiki/SKILL.md:| | Full interview + proceed | Read `init.md` and run the 6-question interactive scaffold..claude/skills/bcos-wiki/SKILL.md:The dispatched subcommand files (`create.md`, `promote.md`, `run.md`, `refresh.md`, `lint.md`, `archive.md`, `review.md`, `remove.md`, `schema.md`, `search.md`, `bundle.md`, `queue.md`) all reference *"the `.config.yml` Guard defined in `SKILL.md`"* — they inherit this AskUserQuestion p …[+46 chars].claude/skills/bcos-wiki/SKILL.md:The human reviews diffs and runs `git commit` / `git push` when ready.· uses the network.claude/skills/bcos-wiki/SKILL.md:This applies to `run`, `refresh`, and `create` (when source content is large)..claude/skills/bcos-wiki/SKILL.md:Users who want a binary in collections-as-evidence must run `/collections add` explicitly..claude/skills/bcos-wiki/SKILL.md:├── run.md ← /wiki run [<url>].claude/skills/bcos-wiki/SKILL.md:├── ingest.md ← shared ingest pipeline (called by run/promote/create/refresh).claude/skills/clear-planner/SKILL.md:Step 2: Run Discovery.claude/skills/clear-planner/SKILL.md:{ "step": 2, "name": "Run Discovery", "status": "in_progress" }.claude/skills/clear-planner/SKILL.md:**Run all three discovery scripts:**.claude/skills/clear-planner/SKILL.md:bash .claude/agents/agent-discovery/find_agents.sh.claude/skills/clear-planner/SKILL.md:bash .claude/skills/skill-discovery/find_skills.sh.claude/skills/clear-planner/SKILL.md:python .claude/scripts/find_lessons.py --tags "#{scenarioType}".claude/skills/clear-planner/SKILL.md:Run discovery scripts (Step 2 results).claude/skills/clear-planner/SKILL.md:| | ------------------- | ------------------------------------ | --------------------------------------------------------- | ------------------- | | Integration Audit | Detect stale references in ecosystem | `python .claude/scripts/analyze_integration.py --staged` + AI review | **YES …[+455 chars].claude/skills/clear-planner/SKILL.md:| Scenario | Key Requirement | | ----------------- | ------------------------------------------------------------------ | | **AGENTING** | Check for ecosystem overlaps + run integration audit before commit | | **DOCUMENTAT …[+76 chars].claude/skills/context-audit/SKILL.md:Run all five audit categories against the scoped files..claude/skills/context-audit/SKILL.md:python .claude/scripts/build_document_index.py.claude/skills/context-ingest/SKILL.md:| Input shape | Dispatch to | Why | |-------------|-------------|-----| | HTTP/HTTPS URL (article, GitHub, YouTube) | `/wiki run <url>` (the `bcos-wiki` skill, Path A) | Wiki owns external-source ingest, banner citations, schema validation, refresh tier | | Path inside `docs/_inbox/` a …[+508 chars].claude/skills/context-ingest/SKILL.md:If the input is mixed (e.g. Slack export *and* a URL), do mine first, then handle the URL via `/wiki run` separately, then return to ingest for whatever's left..claude/skills/context-ingest/SKILL.md:Run `python .claude/scripts/build_document_index.py` after material changes.claude/skills/context-ingest/SKILL.md:**→ Rebuild Document Index** — Always: `python .claude/scripts/build_document_index.py`.claude/skills/context-ingest/SKILL.md:**→ context-audit** — If a new data point was created: "Want me to run a quick CLEAR audit on the new doc?".claude/skills/context-mine/SKILL.md:Recommend: "Run context-ingest to classify and route these items".claude/skills/context-onboarding/SKILL.md:| What you see | What you do | |---|---| | User shares a URL, pitch deck, or describes their business | Gather from those sources, ask 2-3 follow-ups if needed | | Repo already has docs/, README, markdown files with business content | Scan the repo, map what exists | | User drops files …[+394 chars]· uses the network.claude/skills/context-onboarding/SKILL.md:Before anything else, run **once** per onboarding session to make sure the BCOS-managed instructions are present in `CLAUDE.md`..claude/skills/context-onboarding/SKILL.md:This catches the `git clone`-without-`install.sh` case: if `CLAUDE.md` exists but lacks the `<!-- BCOS:CORE:START -->` / `<!-- BCOS:CORE:END -->` markers, the framework section is missing or unstructured.· uses the network.claude/skills/context-onboarding/SKILL.md:If `.claude/bcos-claude-reference.md` doesn't exist yet (fresh clone), point `--source` at the upstream template available in this repo's tree (the same file install.sh would have copied)..claude/skills/context-onboarding/SKILL.md:**First-run routing principle:** onboarding is allowed to identify all BCOS zones, but it should only create active data points after the user approves the architecture..claude/skills/context-onboarding/SKILL.md:| Material | First-run handling | |---|---| | Canonical facts, current decisions, project/task/business reality | Draft active data points in `docs/*.md` | | Raw notes, unsorted snippets, uncertain material | Keep in `docs/_inbox/` until triaged | | Future ideas, plans, or maybes | Par …[+578 chars].claude/skills/context-onboarding/SKILL.md:Options: **Activate** (set all to active, run index + wake-up) / **Adjust** (tell me what to fix).claude/skills/context-onboarding/SKILL.md:Run `python .claude/scripts/build_document_index.py` to generate the Document Index with DOMAIN one-liners.claude/skills/context-onboarding/SKILL.md:Run `python .claude/scripts/generate_wakeup_context.py` to generate the Wake-Up Context for instant session orientation.claude/skills/context-onboarding/SKILL.md:The checklist ships with install at `docs/.onboarding-checklist.md`..claude/skills/context-onboarding/SKILL.md:Ensure the `.claude/hook_state/` directory exists (it usually does from install.sh — check and create if missing)..claude/skills/context-onboarding/SKILL.md:the dispatcher will create it on first run..claude/skills/context-onboarding/SKILL.md:**Run the catalog drift guard:**.claude/skills/context-onboarding/SKILL.md:python .claude/scripts/validate_permissions_catalog.py.claude/skills/context-onboarding/SKILL.md:python .claude/scripts/update.py.claude/skills/context-onboarding/SKILL.md:Re-run the validator to confirm clean..claude/skills/context-onboarding/SKILL.md:If the answer is "Yes, multi-repo" (or the user confirms after explanation), run:.claude/skills/context-onboarding/SKILL.md:python .claude/scripts/install_global_permissions.py.claude/skills/context-onboarding/SKILL.md:Question: "When should the morning dispatcher run?".claude/skills/context-onboarding/SKILL.md:Run the schedule-dispatcher skill to execute today's scheduled CLEAR maintenance. It will:.claude/skills/context-onboarding/SKILL.md:3. Execute each job in sequence, appending one diary entry per job.claude/skills/context-onboarding/SKILL.md:The portfolio aggregator picks it up on the next dispatcher run..claude/skills/context-onboarding/SKILL.md:The dispatcher will run in the wrong directory and writes meant for this repo's `docs/_inbox/` will be blocked..claude/skills/context-onboarding/SKILL.md:If "Recreate", call `mcp__scheduled-tasks__delete_event` (or the equivalent delete tool) on the bad task, then re-run Step 6d..claude/skills/context-onboarding/SKILL.md:That's intentional — fresh setups should over-monitor for the first 1-2 weeks until the auto-tuner suggests reductions after green-run streaks..claude/skills/context-onboarding/SKILL.md:Let the user invoke the first run on their terms..claude/skills/context-onboarding/SKILL.md:A fresh install has nothing to migrate and should never see the word..claude/skills/core-discipline/SKILL.md:**Significant change** (restructure a cluster, create new skills) → use clear-planner, run the full workflow.claude/skills/core-discipline/SKILL.md:| Task Type | Action | | ------------------------- | ---------------------- | | Questions, commands | Respond directly | | Single-file fixes | Just do it | | Small changes (1-3 files) | Think briefly, execute |.claude/skills/core-discipline/SKILL.md:A scheduled dispatcher run finishes clean green with zero findings (one-line summary keeps the dashboard "Ready" status meaningful).claude/skills/core-discipline/SKILL.md:**Special case — wrapping scripts with built-in prompts** (like `update.py`'s `[y/N]` prompt): invoke the script with `--dry-run` first, parse the output, surface the summary via `AskUserQuestion`, then re-invoke with `--yes` based on the user's choice..claude/skills/daydream/SKILL.md:If the file doesn't exist, this is the first run — use 2 weeks ago as the baseline..claude/skills/daydream/SKILL.md:# Read last run timestamp (or default to 2 weeks ago).claude/skills/daydream/SKILL.md:cat .claude/quality/last-daydream.txt 2>/dev/null || echo "no previous run".claude/skills/daydream/SKILL.md:git log --since="{last_daydream_date}" --name-only --pretty=format:"%h %s (%ar)" -- docs/ ':!docs/_bcos-framework/methodology/' ':!docs/_bcos-framework/guides/' ':!docs/_bcos-framework/templates/'.claude/skills/daydream/SKILL.md:Report "No document changes since last run" and skip to Phase 3 (Imagine) for forward-looking reflection only..claude/skills/daydream/SKILL.md:git diff {last_daydream_commit}..HEAD -- docs/path/to/changed-file.md.claude/skills/daydream/SKILL.md:python .claude/scripts/build_document_index.py --dry-run.claude/skills/daydream/SKILL.md:python .claude/scripts/generate_wakeup_context.py.claude/skills/daydream/SKILL.md:**Step 5b: Run maintenance scripts**.claude/skills/daydream/SKILL.md:Daydream is the natural time to run periodic maintenance:.claude/skills/daydream/SKILL.md:python .claude/scripts/prune_sessions.py.claude/skills/daydream/SKILL.md:python .claude/scripts/prune_diary.py.claude/skills/daydream/SKILL.md:python .claude/scripts/generate_wakeup_context.py.claude/skills/daydream/SKILL.md:python .claude/scripts/analyze_crossrefs.py.claude/skills/daydream/SKILL.md:**Step 6: Record this run**.claude/skills/daydream/SKILL.md:python .claude/scripts/record_daydream.py.claude/skills/daydream/SKILL.md:**Document Index** — Run `python .claude/scripts/build_document_index.py` if files changed.claude/skills/doc-lint/SKILL.md:If `.md`: Run markdown quality checks and cross-reference validation.claude/skills/doc-lint/SKILL.md:If `.json`: Run JSON structure validation.claude/skills/doc-lint/SKILL.md:Px_001: Run markdown quality check -> doc-lint (markdown category).claude/skills/doc-lint/SKILL.md:Px_002: Run example code validation -> doc-lint (cross_reference category).claude/skills/doc-lint/SKILL.md:Px_001: Run JSON structure validation -> doc-lint (json_structure category).claude/skills/doc-lint/SKILL.md:Px_002: Run markdown quality check -> doc-lint (markdown category).claude/skills/ecosystem-manager/SKILL.md:Run discovery to see what exists:.claude/skills/ecosystem-manager/SKILL.md:bash .claude/agents/agent-discovery/find_agents.sh.claude/skills/ecosystem-manager/SKILL.md:bash .claude/skills/skill-discovery/find_skills.sh.claude/skills/ecosystem-manager/SKILL.md:Run it before committing..claude/skills/ecosystem-manager/SKILL.md:python .claude/scripts/analyze_integration.py --uncommitted.claude/skills/ecosystem-manager/SKILL.md:Coverage gaps in install.sh, settings.json, state.json, .gitignore.claude/skills/ecosystem-manager/SKILL.md:Add fix tasks to the plan and execute them before committing..claude/skills/ecosystem-manager/SKILL.md:[ ] **install.sh installs new files**.claude/skills/ecosystem-manager/SKILL.md:Run after major development sessions or as part of monthly architecture review..claude/skills/ecosystem-manager/SKILL.md:Run `python .claude/scripts/wiki_schema.py list` to inspect page-types, lint-checks, and auto-fixes from `_wiki/.schema.yml` or the framework fallback..claude/skills/ecosystem-manager/SKILL.md:Run all 4 CI checks locally:.claude/skills/ecosystem-manager/SKILL.md:python .github/scripts/validate_frontmatter.py # YAML metadata on all managed markdown.claude/skills/ecosystem-manager/SKILL.md:python .github/scripts/validate_references.py # All registry paths resolve + state.json accuracy.claude/skills/ecosystem-manager/SKILL.md:python .claude/scripts/analyze_integration.py --ci # Ecosystem wiring (install.sh, settings.json coverage).claude/skills/learning/SKILL.md:**Mechanism:** `python .claude/scripts/promote_resolutions.py` (the module's `__main__` calls `regenerate()`)..claude/skills/learning/SKILL.md:Run the matching subcommand directly..claude/skills/lessons-consolidate/SKILL.md:python .claude/scripts/consolidate_lessons.py.claude/skills/schedule-dispatcher/SKILL.md:Run `python .claude/scripts/update.py` first.".claude/skills/schedule-dispatcher/SKILL.md:Report to the user: "schedule-config.json is malformed — fix before the dispatcher can run..claude/skills/schedule-dispatcher/SKILL.md:For each entry in `jobs`, decide if it should run today..claude/skills/schedule-dispatcher/SKILL.md:| `schedule` value | Runs when | |--------------------|----------------------------------------------------| | `"daily"` | Every day | | `"mon"`..`"sun"` | Only on that weekday …[+549 chars].claude/skills/schedule-dispatcher/SKILL.md:**For on-demand dispatch** (user said "run the audit-inbox job"): skip this step, run only the named job..claude/skills/schedule-dispatcher/SKILL.md:Build an ordered list of jobs to run..claude/skills/schedule-dispatcher/SKILL.md:python .claude/scripts/context_index.py --write.claude/skills/schedule-dispatcher/SKILL.md:The cache TTL is 10 min (longer than a full dispatcher cycle), so all jobs in this run hit the same in-memory snapshot..claude/skills/schedule-dispatcher/SKILL.md:Last run timestamp per job?.claude/skills/schedule-dispatcher/SKILL.md:Use the helper script — it creates `.claude/hook_state/` on first run and matches the allowlisted command prefix so it never prompts:.claude/skills/schedule-dispatcher/SKILL.md:python .claude/scripts/append_diary.py '{"ts":"2026-04-15T09:04:12","job":"index-health","verdict":"green","findings_count":0,"auto_fixed":[],"actions_needed":[],"duration_s":4}'.claude/skills/schedule-dispatcher/SKILL.md:**Fallback:** when `.bcos-umbrella.json` is absent (standalone BCOS install with no umbrella), preflight reduces to the `../` + absolute-path scans — no sibling-name list to check against..claude/skills/schedule-dispatcher/SKILL.md:After Step 4 completes (last job returned), verify that **every job listed in Step 2's run-list produced exactly one diary entry in this dispatcher tick**..claude/skills/schedule-dispatcher/SKILL.md:Read back the diary entries appended during this tick (use the dispatcher's in-memory record, or the tail of `.claude/hook_state/schedule-diary.jsonl` filtered to the current run's `ts` prefix if you're running on-demand)..claude/skills/schedule-dispatcher/SKILL.md:**Added in schema 1.1.0.** Before applying auto-fixes (Step 5) or rendering the digest (Step 7), enrich each finding emitted in Step 4 with three computed fields and produce the run's headline string..claude/skills/schedule-dispatcher/SKILL.md:**Match against prior tick.** Scan diary entries from the **immediately-prior dispatcher tick** (the most-recent run before today, identified by the latest `ts` < today's run window)..claude/skills/schedule-dispatcher/SKILL.md:| Run shape | Headline template | |---|---| | Green clean (0 findings, 0 framework) | "{Nth consecutive green run.}{recovery callout if any job verdict flipped error→green this tick.}" | | Green with frequency suggestions only | "All {N} jobs green..claude/skills/schedule-dispatcher/SKILL.md:And the run has a `headline` string ready for Step 7..claude/skills/schedule-dispatcher/SKILL.md:For each job run today, check recent diary:.claude/skills/schedule-dispatcher/SKILL.md:**Last run was `error`** → suggest investigating, not frequency change.claude/skills/schedule-dispatcher/SKILL.md:Both are overwritten each run..claude/skills/schedule-dispatcher/SKILL.md:Conditional sections render ONLY when their counts are non-zero — a green clean run is ~5 lines, an amber run with 5 findings is ~40 lines..claude/skills/schedule-dispatcher/SKILL.md:| 1 | `{emitted_by}` | `{primary_attr}` | {one-line meaning} | {`🔁 Nth run` if consecutive_runs ≥ 3, else blank} |.claude/skills/schedule-dispatcher/SKILL.md:Run at {ISO timestamp} · `.claude/hook_state/schedule-diary.jsonl`.claude/skills/schedule-dispatcher/SKILL.md:verdict emoji + finding count + inline status markers in Note column | | `💡 Suggestions` | `≥1` `frequency-suggestion` finding | Bullet list | | Footer | Always | Run timestamp, diary path, auto-commit status |.claude/skills/schedule-dispatcher/SKILL.md:| Scenario | Verdict bar example | Top line | Action hint | |---|---|---|---| | Green clean | `**🟢 BCOS green** · 1 ran · 0 findings · 0 fixed · 4s` | `Headline string from Step 4c, e.g. "10th consecutive green run."` | `→ Nothing to act on..claude/skills/schedule-dispatcher/SKILL.md:Run `git rev-parse --abbrev-ref HEAD` to get the current branch..claude/skills/schedule-dispatcher/SKILL.md:This is the per-tick safety property: a stray hand-edit to a "generated" file on a day its owning job did not run still blocks auto-commit..claude/skills/schedule-dispatcher/SKILL.md:Globs are resolved against `git status --porcelain` paths (same surface the clean-tree rule already inspects)..claude/skills/schedule-dispatcher/SKILL.md:**Emit the `job-missing-outputs-declaration` framework-finding only when** the job's run would have changed at least one path *outside* `GLOBAL_ALLOWED` (i.e. a path that *could* have been auto-committable had it been declared)..claude/skills/schedule-dispatcher/SKILL.md:Run `git status --porcelain`..claude/skills/schedule-dispatcher/SKILL.md:`git commit -m "bcos: daily maintenance {YYYY-MM-DD}"` — no push, ever..claude/skills/schedule-dispatcher/SKILL.md:A BCOS install with no umbrella still writes the log — it just sits locally until somebody (or the dashboard) reads it..claude/skills/schedule-dispatcher/SKILL.md:The last thing the dispatcher does depends on whether the run produced anything that needs user judgement..claude/skills/schedule-dispatcher/SKILL.md:Otherwise — clean green run, zero findings, zero suggestions — output a short summary and stop..claude/skills/schedule-dispatcher/SKILL.md:**Why this rule:** if every run always asked a question, every scheduled run would show as "Awaiting input" in the dashboard even on clean days..claude/skills/schedule-dispatcher/SKILL.md:Or even shorter when the user is watching an on-demand run:.claude/skills/schedule-dispatcher/SKILL.md:("Do you want architecture review to run weekly?" is too abstract — `schedule-tune` handles that).claude/skills/schedule-dispatcher/SKILL.md:**Retry the failed job(s)** → re-run only the errored jobs (on-demand mode), then ask again with the new result.claude/skills/schedule-dispatcher/SKILL.md:If the user says "run the {job-name} job now" or "run today's maintenance now":.claude/skills/schedule-dispatcher/SKILL.md:Skip the schedule predicate — run only the named job(s).claude/skills/schedule-dispatcher/SKILL.md:## On-demand run — {HH:MM} ({job-name}).claude/skills/schedule-dispatcher/SKILL.md:If `daily-digest.md` does not yet exist (no scheduled run happened today), create it with a minimal header before appending the on-demand section..claude/skills/schedule-dispatcher/SKILL.md:DO append a diary entry per job with `"trigger":"on-demand"` so the run is tracked in history.claude/skills/schedule-dispatcher/SKILL.md:Run another job.claude/skills/schedule-dispatcher/SKILL.md:The morning scheduled run always OVERWRITES `daily-digest.md` fresh — so yesterday's on-demand sections are not preserved in the digest (diary retains them)..claude/skills/schedule-dispatcher/SKILL.md:Every dispatcher run produces either a digest OR a user-facing error message..claude/skills/schedule-dispatcher/SKILL.md:`schedule-tune` — user-facing skill for changing config ("run audit twice a week").claude/skills/schedule-dispatcher/SKILL.md:If a run was wrong, add a corrective entry, don't mutate history..claude/skills/schedule-tune/SKILL.md:If you haven't set up BCOS scheduling yet, run `context-onboarding` Step 6..claude/skills/schedule-tune/SKILL.md:**Utterances:** *"run audit twice a week"*, *"change daydream to every 3 days"*, *"switch architecture review to quarterly"*, *"run index-health on weekdays only"*, *"audit on Tuesdays and Fridays"*.claude/skills/schedule-tune/SKILL.md:**Utterances:** *"run the dispatcher at 08:30"*, *"move morning maintenance to 07:00"*.claude/skills/schedule-tune/SKILL.md:Update the actual scheduled task's cron via `mcp__scheduled-tasks__update_scheduled_task` — that's what actually moves the run.claude/skills/schedule-tune/SKILL.md:**Utterances:** *"what's my maintenance schedule?"*, *"when does audit run?"*, *"is architecture-review enabled?"*.claude/skills/schedule-tune/SKILL.md:If the user proposes a cron that would run more than once per day, refuse: *"Dispatcher is designed to run once daily..claude/skills/schedule-tune/SKILL.md:| User says | Config edit | |----------------------------------------|----------------------------------------------------------------| | "run audit on Tuesday instead of Friday" | `jobs.audit-inbox.schedu …[+1012 chars].claude/skills/todo-utilities/SKILL.md:**Sequential Agent Invocation** — Tasks run one after anotherCLAUDE.md:**Small changes (1-3 files)** — think briefly, execute.CLAUDE.md:Auto-generated by `python .claude/scripts/generate_wakeup_context.py`.CLAUDE.md:When unsure, run `context-ingest` and let it propose the route.CLAUDE.md:**Post-work handoffs:** After integrating new content, offer to (a) rebuild the document index, (b) update related data points, (c) run an audit if architecture shifted.
Hooks (5)
.claude/settings.json(Stop):bash "$CLAUDE_PROJECT_DIR/.claude/hooks/auto_save_session.sh".claude/settings.json(PreCompact):bash "$CLAUDE_PROJECT_DIR/.claude/hooks/precompact_save.sh".claude/settings.json(PostToolUse):"$CLAUDE_PROJECT_DIR/.claude/bin/python3" "$CLAUDE_PROJECT_DIR/.claude/hooks/post_edit_frontmatter_check.py".claude/settings.json(PostToolUse):"$CLAUDE_PROJECT_DIR/.claude/bin/python3" "$CLAUDE_PROJECT_DIR/.claude/hooks/post_edit_frontmatter_check.py".claude/settings.json(PostToolUse):"$CLAUDE_PROJECT_DIR/.claude/bin/python3" "$CLAUDE_PROJECT_DIR/.claude/hooks/post_commit_context_check.py"
Install scripts (1)
install.sh:sh install.sh
- Medium risk: runs-instruction-instruction-network (.claude/agents/wiki-fetch/AGENT.md:93)
- Medium risk: runs-instruction-instruction-network (.claude/skills/bcos-wiki/SKILL.md:150)
- Medium risk: runs-instruction-instruction-network (.claude/skills/context-onboarding/SKILL.md:33)
- Medium risk: runs-instruction-instruction-network (.claude/skills/context-onboarding/SKILL.md:50)
- Low risk: scripts-present (.claude/agents/agent-discovery/find_agents.sh)
- Low risk: scripts-present (.claude/bin/python3)
- Low risk: scripts-present (.claude/hooks/auto_save_session.sh)
- Low risk: scripts-present (.claude/hooks/post_commit_context_check.py)
- Low risk: scripts-present (.claude/hooks/post_edit_frontmatter_check.py)
- Low risk: scripts-present (.claude/hooks/precompact_save.sh)
- Low risk: scripts-present (.claude/scripts/analyze_crossrefs.py)
- Low risk: scripts-present (.claude/scripts/analyze_integration.py)
- Low risk: scripts-present (.claude/scripts/append_diary.py)
- Low risk: scripts-present (.claude/scripts/audit_node_configs.py)
- Low risk: scripts-present (.claude/scripts/auto_fix_audit.py)
- Low risk: scripts-present (.claude/scripts/bcos_inventory.py)
- Low risk: scripts-present (.claude/scripts/build_document_index.py)
- Low risk: scripts-present (.claude/scripts/cmd_wiki_archive.py)
- Low risk: scripts-present (.claude/scripts/cmd_wiki_init.py)
- Low risk: scripts-present (.claude/scripts/cmd_wiki_lint.py)
- Low risk: scripts-present (.claude/scripts/cmd_wiki_queue_add.py)
- Low risk: scripts-present (.claude/scripts/cmd_wiki_remove.py)
- Low risk: scripts-present (.claude/scripts/cmd_wiki_review.py)
- Low risk: scripts-present (.claude/scripts/cmd_wiki_search.py)
- Low risk: scripts-present (.claude/scripts/consolidate_lessons.py)
- Low risk: scripts-present (.claude/scripts/context_bundle.py)
- Low risk: scripts-present (.claude/scripts/context_index.py)
- Low risk: scripts-present (.claude/scripts/context_search.py)
- Low risk: scripts-present (.claude/scripts/digest_sidecar.py)
- Low risk: scripts-present (.claude/scripts/find_lessons.py)
- Low risk: scripts-present (.claude/scripts/generate_wakeup_context.py)
- Low risk: scripts-present (.claude/scripts/install_global_permissions.py)
- Low risk: scripts-present (.claude/scripts/lifecycle_sweep.py)
- Low risk: scripts-present (.claude/scripts/load_task_profiles.py)
- Low risk: scripts-present (.claude/scripts/load_zone_registry.py)
- Low risk: scripts-present (.claude/scripts/promote_resolutions.py)
- Low risk: scripts-present (.claude/scripts/prune_diary.py)
- Low risk: scripts-present (.claude/scripts/prune_sessions.py)
- Low risk: scripts-present (.claude/scripts/record_daydream.py)
- Low risk: scripts-present (.claude/scripts/record_resolution.py)
- Low risk: scripts-present (.claude/scripts/refresh_ecosystem_state.py)
- Low risk: scripts-present (.claude/scripts/refresh_wiki_index.py)
- Low risk: scripts-present (.claude/scripts/run_wiki_canonical_drift.py)
- Low risk: scripts-present (.claude/scripts/run_wiki_coverage_audit.py)
- Low risk: scripts-present (.claude/scripts/run_wiki_graveyard.py)
- Low risk: scripts-present (.claude/scripts/run_wiki_source_refresh.py)
- Low risk: scripts-present (.claude/scripts/run_wiki_stale_propagation.py)
- Low risk: scripts-present (.claude/scripts/scan_docs_structure.py)
- Low risk: scripts-present (.claude/scripts/set_profile.sh)
- Low risk: scripts-present (.claude/scripts/update.py)
Attribution and licence
- First committed by
walm00
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- Guntis Coders (Community)
- Source
- walm00/business-context-os · commit 4635683
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- MIT License (files served here)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
- Contributors
- walm00
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9 of its files are not served here, so there is no ZIP. walm00/business-context-os at 4635683