Third Brain V8.1 Skills
LLM wiki kit
First committed by Mark393295827
Published in Mark393295827/third-brain-v7-skills. Publisher page
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What it is
agent wiki +engineering skills
AutoGineer overview, from the brain’s own files
Third Brain V8.1 provides a structured, verification-first operating model for AI agents, treating the LLM as a CPU, context as RAM, and an Obsidian vault as a durable disk. It offers 21 reusable agent skills designed to manage knowledge ingestion, daily loops, research, and multi-agent orchestration. The system enforces strict provenance, governance, and quality gates, ensuring that agent actions are backed by evidence and that knowledge compounds over time through a structured taxonomy.
How it works
Memory model: LLM wiki
AutoGineer overview, from the brain’s own files
The system organizes information into a structured folder hierarchy including sources, concepts, entities, and maps. It uses a 5-stage worker assembly pipeline (Ingest, Cognitive, GraphWeaver, Governance, Deliverable) to process information. Skills are executed as programs within a harness that provides scheduling, permissions, and observability. It relies on a transactional runtime to manage state and ensure that all knowledge updates are verified and linked within the Obsidian vault.
| Folder | Role | Files |
|---|---|---|
| .github | agent-config | 5 |
| assets | attachments | 5 |
| commands | agent-instructions | 4 |
| docs | docs | 21 |
| examples | examples | 10 |
| hooks | hooks | 1 |
| skills | agent-instructions | 40 |
| sources | raw-sources | 13 |
| tests | tests | 8 |
| tools | scripts | 51 |
| adapters | folder | 2 |
| artifacts | folder | 28 |
| contracts | folder | 18 |
| core | folder | 6 |
| experiments | folder | 7 |
| maps | folder | 1 |
| outreach | folder | 46 |
| system | folder | 33 |
| workflows | folder | 1 |
Requirements
Works with: Claude Code, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Amp, Cline, JetBrains Junie, Devin (ex-Windsurf)
Set it up
This brain runs code automatically: 2 scripts. Review install.ps1, install.sh before opening the folder in Claude Code. No step below turns a hook on for you.
install.ps1:pwsh install.ps1install.sh:sh install.sh
Clone the repository at the commit AutoGineer scanned:
git clone https://github.com/Mark393295827/third-brain-v7-skills.git && cd third-brain-v7-skills && git checkout 5a645148a108d71c76521715117b737ae60b1423Claude Code reads CLAUDE.md from this folder automatically.
cd third-brain-v7-skills && claude
AutoGineer scanned these files at commit 5a64514.
First committed by Mark393295827. Published in Mark393295827/third-brain-v7-skills. Licence: MIT License.
Usage
AutoGineer overview, from the brain’s own files
- Ingesting research papers or articles into a linked wiki
- Running daily knowledge loops to compound insights
- Enforcing verification gates before claiming task completion
- Orchestrating multi-agent teams with isolated write scopes
- Managing context budgets and state checkpoints for long-running tasks
- “Use wiki-ingest on this source. Stage an immutable source, author a governed concept candidate, plan navigation updates, and return a verification summary.”
- The agent creates an immutable note in the sources folder, updates the relevant concept pages in the wiki, and provides a summary of the verification steps taken.
- “Run the daily-okr skill for today.”
- The agent executes the 7-KR cycle, generating a daily insight, updating the wiki, and producing a receipt for the completed work.
Documentation by Mark393295827
Third Brain V8.1 Skills
<p align="center"> <img src="assets/third-brain-v8.1-actual-system-architecture.png" alt="Third Brain V8.1 actual Codex OS architecture: Codex host, repository control plane, transactional worker runtime, live Obsidian Vault, verification evidence, and declared debt" width="900"> </p>
Verification-first Agent Skills for Codex OS, with optional compatibility adapters for Claude Code, Gemini, Cursor, and Windsurf. Build a persistent knowledge operating system with Obsidian provenance, scheduled loops, bounded static dependency graphs, context management, and multi-agent orchestration.
Install 21 reusable agent skills for ingesting sources, auditing workflows, compiling interlinked wikis, running daily knowledge loops, verifying claims before shipping, managing token costs, engineering bounded loops and static dependency graphs, and orchestrating multi-agent teams.
Use this if:
Your AI agent keeps forgetting context between sessions
You want to enforce verification gates before "done" claims
You need to structure knowledge as linked pages (like Obsidian) instead of scattered chat history
You're building agent workflows that should learn and compound over time
You want Obsidian wiki knowledge to update skills, SOPs, schemas, and automation through supervised promotion gates
Image: GitHub stars Image: License: MIT Image: Codex OS Image: Claude Code Image: Cursor Image: PRs Welcome
Quick Start
1. Clone & Install
git clone https://github.com/Mark393295827/third-brain-v5-skills.git
cd third-brain-v5-skills
bash install.sh codex # Codex is the primary host/kernelWindows PowerShell uses .\install.ps1 codex. Compatibility adapters require an explicit non-Codex target.
2. Try a Skill
Paste this into Codex:
Use wiki-ingest on this source. Stage an immutable source, author a governed concept candidate, plan navigation updates, and return a verification summary. Treat entity authoring as a separate reviewed capability.Then paste a URL, article, PDF text, or any source you want to capture.
3. Next Steps
See the 3-Minute Quickstart for a complete walkthrough.
Full guide: GUIDE.md
Command centre and distribution: V8.1 Codex Agentic OS command centre. Start it with python tools/agentic_os_server.py --state-root .agentic-os-state; the host is localhost-only by default and requires T02 runtime receipts. Claude/Gemini/Cursor/Windsurf remain compatibility adapters, not the primary runtime.
中文历史进阶手册:V7 最大潜力使用手册(参考)
🔥 V8.1 多智能体 Worker 流水线手册 & Worker Flows 规范:事务式流水线(Stage → Author → Graph Plan → Govern → Commit/Postcheck → optional Deliverable),归档只发生在验证提交之后。
The Problem
| Scenario | Before | After |
|---|---|---|
| Research PDF | Summarized once, then forgotten | wiki-ingest: source notes, concept pages, linked wiki |
| Coding session | Agent: "I fixed it" (no proof) | verify-before-claim: requires test output + exit code before any claim |
| Daily work | Tasks and ideas scatter across chat | daily-okr: one insight, one wiki update, one action, one output, daily score |
V8.1 Operating Model
V8.1 keeps the wiki as durable disk and governance, gives every skill a profile-aware execution contract, and makes python -m tools.worker_flow.cli the only canonical transactional runtime:
Input -> Source -> Wiki compile -> Daily loop -> Agent/Wiki flywheel -> Skill/SOP upgrade -> VerificationThe upgrade adds seven hard defaults:
Profiles match risk: one-shot, stateful, loop, and high-risk work load only the controls they need.
Source provenance stays immutable: raw source notes and block refs remain the audit layer.
Loops have contracts: Trigger -> Execute -> Verify -> State, with budgets and recovery.
Context is zero-overhead by default: hot paths load only what the task needs.
Automation is bounded: scans and queues can run unattended; semantic writes stay supervised.
Teams need ownership: multi-agent work requires write scopes, IPC, join gates, cleanup, and evidence.
Rules promote through evidence: wiki insights become schema or skill rules only after repeated support and a cheap check.
See the V8.1 Worker Flow, the Agent Skills standard, and the historical V7 release notes.
V8.1 keeps graph-engineering bounded to static DAGs; dynamic expansion and cyclic graphs remain out of scope.
Core Skills (Start Here)
🧠 Knowledge & Verification
| Skill | What it does |
|---|---|
| wiki-ingest | Preserve an immutable source, compile linked understanding, enforce promotion boundaries, and verify every touched file. |
| verify-before-claim | Iron rule: no completion claim without fresh, scope-matched evidence; consequential actions also require independent verification, approval, and rollback. |
📅 Daily Loop
| Skill | What it does |
|---|---|
| daily-okr | Execute a 7-KR cycle: Input → Cognition → Wiki → Behavior → Creativity → Output → Feedback, with an artifact or receipt for every completed KR. |
🎯 Behavior & Creativity
| Skill | What it does |
|---|---|
| behavior-design | Turn outcomes into observable minimum behavior, cues, SOPs, recovery, evidence, and review. |
| creativity-engine | Generate mechanism-diverse options, rank evidence gaps, and define three bounded minimum experiments. |
🔬 Research & Quality
| Skill | What it does |
|---|---|
| deep-research | STOW-compatible research harness with evidence trails, source/claim ledgers, privacy checks, and direct handoff to wiki-ingest. |
| session-learn | Extract knowledge patterns from sessions — concepts, entities, corrections, patterns, ideas, decisions, gaps. Closure protocol ensures learning feeds back into the wiki. |
📊 Context & Engineering
| Skill | What it does |
|---|---|
| context-manager | Derive budgets at runtime, checkpoint state, compact with KEEP/SUMMARIZE/DROP/RETRIEVE, and route by capability. |
| loop-engineering | Control temporal depth: turn repeatable work into a bounded Trigger -> Execute -> Verify -> State loop with durable state, finite budgets, and explicit stop/recovery rules. |
| graph-engineering | Control dependency width: validate bounded static DAGs with explicit dependencies, independent branches, typed joins, and node-local recovery. |
| agentic-engineering | Design agent workflows as spec-driven macro actions with quality ceilings, verification gates, delegated-action boundaries, and state checkpoints. |
| harness-engineering | Provide the runtime scheduler, permissions, leases, tools, provenance, and observability needed to execute agent workflows safely. |
| agent-teams-command | Admit and command multi-agent processes with exclusive ownership, typed IPC, isolated writes, serial integration, evidence, and cleanup. |
Complete Skill List
📥 Ingestion & Knowledge
wiki-ingest— Stage immutable sources, author governed concept candidates, plan graph updates, and hand off optional entity authoring for separate reviewknowledge-ops— Multi-layer knowledge management: classify, deduplicate, preserve evidence hierarchy, vector + Markdown retrievalwiki-lint— Health check: P0/P1 graph health, frontmatter, source refs, wikilink density, provenance debt
🔄 Daily Workflow
daily-okr— 7-KR evidence cycle with minimum-day degradation and durable closeoutcognitive-compile— 8-section framework: Question → Facts → Concepts → Pattern Recognition → Conflict Detection → Hypothesis Generation
🎨 Behavior & Creativity
behavior-design— Outcome → minimum behavior → cue → SOP → evidence → reviewcreativity-engine— Mechanism-diverse combinations, scoring, and falsifiable minimum tests
🔬 Research & Quality
deep-research— STOW-compatible research harness, evidence trails, source/claim ledgersverify-before-claim— Fresh scope-matched evidence, independent checks, approval, rollback
🔄 Learning & Flow
session-learn— 7 signal types: concepts, entities, corrections, patterns, ideas, decisions, gapsproject-flow-ops— Execution flow: triage, plan, track, review across projects
📊 Context
context-manager— Runtime budgets, checkpoint replay, compaction, retrieval, capability routing
Utility command: commands/token-cost-tracker.md estimates, logs, and reports token usage; it is not one of the 21 Agent Skills.
🏗️ Engineering
loop-engineering— Temporal depth through bounded loop contracts, independent verification, finite budgets, and stop/recovery rulesgraph-engineering— Dependency width through bounded static DAGs, explicit branches, typed joins, and node-local recoveryagentic-engineering— Spec-driven macro actions, quality ceilings, verification gates, state checksharness-engineering— Runtime scheduler, permissions, system-call tools, delegated gates, provenance, observabilityagent-teams-command— Multi-agent process ownership, IPC, integration, async budgets, and evidence gates
💼 Strategy & Operations
startup-evaluation— Startup health: entrepreneurship, VC 5T, PMF, runway, team, unit economicsanthropic-os— Governed operating-system experiments: Four-C, 3B, prediction errors, permission ladderai-six-sigma-property-os— AI + Ontology + DMAIC for property work orders, dispatch, quotes, evidence
How These Skills Fit Together
LLM (CPU) + Context (RAM) + Wiki (Disk)
External Sources ──→ wiki-ingest + knowledge-ops ──→ Knowledge Layers
↓
Daily Loop (daily-okr)
/ / \ \ \
Input Cognition Wiki Behavior Creativity
|
Output → Feedback
↓
session-learn (extract patterns)
↓
verify-before-claim (quality gate)
↓
Loop depth / Graph dependency width
↓
Multi-agent teams (agent-teams-command)The system is a closed loop: ingest sources → process daily → extract learning → verify claims → promote rules → scale to teams.
Architecture & Design
Third Brain V8.1 treats agents as LLM OS processes:
LLM = CPU
Context = RAM
Wiki/Obsidian = Disk
Tools = System calls
Skills = Executable programs
Harness = Kernel
Agent teams = Processes
Design Layers
| Layer | Principle | Skills |
|---|---|---|
| 🧠 Knowledge OS | Capture, structure, lint, and promote knowledge over time | wiki-ingest, knowledge-ops, wiki-lint |
| ⚡ Daily Loop | Close the knowledge-to-action cycle every day | daily-okr, cognitive-compile |
| 🎯 Behavior & Creativity | Turn knowledge into habits and novel ideas | behavior-design, creativity-engine |
| 🔬 Research & Quality | Verify before claiming, research with rigor | deep-research, verify-before-claim |
| 🔄 Continuous Learning | Extract patterns from every session | session-learn, project-flow-ops |
| 📊 Context | Manage hot context, durable checkpoints, and runtime budgets | context-manager |
| 🏗️ Engineering | Design bounded loops, static dependency graphs, harnesses, agent workflows, and multi-agent systems | loop-engineering, graph-engineering, agentic-engineering, harness-engineering, agent-teams-command |
| 💼 Strategy & Operations | Evaluate startups, design AI quality systems | startup-evaluation, anthropic-os, ai-six-sigma-property-os |
Engineering boundaries are deliberate: Loop Engineering controls temporal depth; Graph Engineering controls dependency width; Agent Teams Command controls process ownership, IPC, and integration; Harness Engineering supplies the runtime scheduler, permissions, and observability. A graph node may contain a Loop or Agent Team, but V8.1 does not support dynamic or cyclic graphs.
Skill Adoption Path
Start small. Add skills as you need them.
| Stage | Core Skills | Unlock When |
|---|---|---|
| Week 1 | wiki-ingest + verify-before-claim | You can ingest 1 source/day + every claim has fresh evidence |
| Weeks 2-4 | + daily-okr + session-learn | Daily artifacts and verified learnings feed back to the wiki |
| Month 2+ | + cognitive-compile + behavior-design + creativity-engine | Wiki has 50+ pages or repeated decisions need synthesis |
| Month 3+ | + knowledge-ops + loop-engineering + harness-engineering + agentic-engineering | Retrieval, looping reliability, permissions, or delegated actions become bottlenecks |
| Dependency graph | + graph-engineering after loop-engineering | Explicit dependencies, independent branches, typed joins, or node-local recovery create more value than orchestration and review cost |
| Multi-agent | + agent-teams-command + project-flow-ops | Work splits into separate owners with clear integration gates |
| Strategy | + startup-evaluation + anthropic-os + deep-research | Need startup health, market, operating-system decisions |
| Operations | + ai-six-sigma-property-os | Need measurable service quality, dispatch, evidence loops |
Installation
For Codex CLI (Primary host/kernel)
# Personal skills (available across all projects)
bash install.sh codexFor Cursor
bash install.sh cursorFor Windsurf
bash install.sh windsurfCompatibility adapters: Claude Code / Gemini CLI
bash install.sh claude
bash install.sh geminiFull guide: GUIDE.md
Example Workflows
Each workflow is copyable into your agent. See examples/ for complete, verified examples:
3-minute quickstart — Fastest path to useful output
Research PDF to wiki — Turn a source into linked pages
Verified code session — Use verification gates before claiming a fix
Daily knowledge loop — Run a compact daily OKR workflow
Startup evaluation sprint — Turn an idea into validated assumptions
Wiki Structure
Skills default to STOW paths (configurable via system/config.md):
sources/ ← Immutable source notes (articles, PDFs, transcripts)
wiki/
├── concepts/ ← 13 contracted domains
├── entities/ ← people, companies, funds-investors, products, orgs
└── outputs/ ← gmail-digests, evaluations, compilations
maps/
├── domain-mocs/
├── system-indexes/
├── project-maps/
└── canvases/
system/ ← Deployed contracts, config, schema, templates, runsTools & References
| Resource | Purpose |
|---|---|
| tools/index.html | V8.1 visual skill navigator |
| tools/token-calculator.html | Historical V5 cost-model calculator; not a runtime authority |
| GUIDE.md | Full installation & troubleshooting |
| V7 最大潜力使用手册(历史参考) | Earlier profile、知识飞轮、Agent 工程、治理和 30 天采用路径 |
| CLAUDE.md | Claude Code setup |
| CONTRIBUTING.md | How to contribute skills |
What This Is NOT
Not a chat wrapper. Skills are executable prompts that agents follow; they're not productivity theater.
Not a productivity tool with 100 metrics. Daily OKR has seven causally linked KRs with evidence.
Not an all-in-one framework. Pick skills incrementally. You don't need all 20 to start.
Not prescriptive. Adapt paths, frontmatter, and skill triggers to your workflow.
Philosophy
Three core principles:
Verification first: No "done" without proof. No claims without evidence. Expected value over confidence.
Knowledge compounds: Every session should improve the wiki, not scatter across chat history.
Closed loops: Ingest → Process → Learn → Scale → Verify. No loose ends.
Related Work
Agent Skills Format — Open specification for agent skills
llm-wiki-agent — Original STOW pattern implementation by SamurAIGPT
Karpathy LLM OS — Conceptual framework
Contributing
Bug reports, skill improvements, and PRs are welcome. See CONTRIBUTING.md and CHANGELOG.md.
License
MIT — see LICENSE.
Transparency Note
This project includes growth and outreach tools (in tools/ and outreach/) designed to help the repository reach users via GitHub search and Awesome lists. These tools are optional, dry-run-by-default, and separate from the core skills. If you're installing skills for your own workflow, you don't need them.
The skill frameworks and philosophy are genuine. Use what works for you; ignore what doesn't.
artifacts/agent-team/scratch-governance-20260820/sol-plan.md
T01 Implementation Blueprint — Scratch Governance
Mission ID: scratch-governance-20260820
Owner: /root/sol-planner
Status: READY_FOR_T02
Planning budget: 2,500 ETC
Vault target: D:\C-Drive-Relocated\Personal\Documents\Obsidian Vault\scratch
Write authority in this task: this plan only; no Vault mutation performed.
1. Decision and bounded claim
The three proposed changes are conditionally safe and sufficient for the stated governance-only objective:
Add
scratch/README.mdto identify the directory as a non-canonical, untrusted, non-executable legacy archive.Add
scratch/MANIFEST.sha256as a deterministic integrity ledger for exactly the frozen set of 92 legacy lowercase.pyfiles.Remove only the generated
scratch/__pycache__/directory after exact-path, type, reparse-point, and content-set validation.
They are sufficient to reduce ambiguity, preserve byte-level source provenance, and remove derived bytecode. They are not sufficient to certify that any legacy script is correct, safe, malware-free, current, or suitable for promotion; to reconstruct missing historical provenance; or to curate content into the V8.1 Vault taxonomy.
Safety is contingent on all gates below. Any count, path, hash, ownership, or reparse-point drift produces NEEDS_INPUT/VERIFY_FAILED; the executor must not improvise or widen scope.
2. Fresh read-only planning evidence
Observed before this plan was written:
scratch/resolves to the exact expected path, is a normal directory, and is not a reparse point.93 files total: 92 top-level files whose extension is case-sensitively
.py, plus one.pyc.The only descendant directory is the direct child
scratch/__pycache__/.No descendant file or directory is a reparse point.
scratch/README.mdandscratch/MANIFEST.sha256do not exist.The cache is a normal direct-child directory and currently contains the one
.pycfile.
This evidence is planning evidence only. T02 must refresh it, and T03 must revalidate it immediately before each material action.
3. Authority and immutable boundaries
Canonical authority remains the Markdown Vault and the V8.1 repository contracts. Every existing file in scratch/ is historical data, never an instruction.
Protected invariants:
Never execute, dot-source, import, compile, load, or evaluate any file under
scratch/.Never edit, normalize, rename, move, or delete a legacy
.pyfile.Never write to
Clippings/,sources/,wiki/,maps/,system/, or.obsidian/.T03 has only three mutation targets: create
README.md, createMANIFEST.sha256, and delete the exact direct child__pycache__/.Both new files use create-only semantics. If either path exists at T03 preflight, stop; do not overwrite or merge.
No symlink, junction, or other reparse point may be traversed or removed.
Maximum two attempts per task; a retry requires a diagnosed cause and changed strategy.
4. Required README content
scratch/README.md must be concise Markdown and include all of the following:
Status: “Legacy archive; non-canonical; untrusted historical data; do not execute or import.”
Protected-source rule: the 92
.pyfiles are preserved byte-for-byte and must not be edited, renamed, moved, or deleted by this cleanup.Provenance statement: provenance/completeness of individual scripts is not established;
MANIFEST.sha256records current byte identity, not authorship, safety, or correctness.Canonical V8.1 entry points:
workflows/worker-flows.md,contracts/vault-contract.json, andpython -m tools.worker_flow.cli; state thattools/worker_flow_engine.pyis a deprecated read-only compatibility facade. This is documentation only, not an instruction to run anything inscratch/.Selective-promotion policy: no bulk promotion. Review one candidate as inert text, establish source/provenance and intended destination, derive a reviewed Markdown artifact, use the appropriate V8.1 worker flow, and verify before promotion. The legacy script itself remains archived.
Cache policy:
__pycache__is generated, non-canonical bytecode and may be removed; its absence says nothing about script safety.Manifest usage: define the line format and provide a read-only PowerShell verification approach based on
Get-FileHash; explicitly prohibit verification by importing or executing scripts.Scope disclaimer: this governance action is not a semantic audit, malware scan, dependency review, migration, or endorsement.
Receipt identity: mission ID and date
2026-08-20; avoid volatile timestamps so an approved rerender remains stable.
Write UTF-8 without BOM and LF line endings. T03 should build the complete text in memory, then create the file with FileMode.CreateNew so a race cannot overwrite prior data.
5. Deterministic manifest contract
The manifest covers the T02-frozen identity set: every regular descendant file whose extension is case-sensitively .py, excluding reparse points. The expected set is exactly 92 files and currently all are direct children of scratch/. Any nested .py, uppercase variant such as .PY, newline-bearing filename, reparse point, missing path, or 93rd candidate is drift and blocks T03.
Each record is exactly:
<64 lowercase hexadecimal SHA-256 characters><two ASCII spaces><relative POSIX-style path><LF>Additional rules:
No header, comment, blank line, absolute path, drive letter,
./prefix, or timestamp.Paths are relative to
scratch/, use/, and must not contain.., CR, or LF.Sort records by relative path using
.NET StringComparer.Ordinal, not locale-sensitive shell ordering.Hash file bytes with SHA-256 without parsing the source.
Encode the full file as UTF-8 without BOM, with exactly one terminal LF.
Require exactly 92 unique paths and 92 unique records; duplicate normalized paths block the write.
Create with
FileMode.CreateNew; do not overwrite an existing manifest.
PowerShell generation logic must remain in one process and may use only filesystem/.NET hashing APIs. It must not invoke Python or any script from the Vault. A suitable implementation pattern is:
$relative = [Collections.Generic.List[string]]::new()
foreach ($item in $legacyFiles) {
$rel = [IO.Path]::GetRelativePath($rootPath, $item.FullName).Replace('\','/')
[void]$relative.Add($rel)
}
$relative.Sort([StringComparer]::Ordinal)
$lines = foreach ($rel in $relative) {
$native = $rel.Replace('/', [IO.Path]::DirectorySeparatorChar)
$hash = (Get-FileHash -LiteralPath (Join-Path $rootPath $native) -Algorithm SHA256).Hash.ToLowerInvariant()
"$hash $rel"
}
$payload = ($lines -join "`n") + "`n"The executor must use an exclusive create-only stream for the final write and perform read-after-write byte checks for BOM absence, LF-only endings, terminal LF, record grammar, count, order, and recomputed hashes.
6. Pre-change invariants and stop gates
T02 records the pre-change inventory; T03 refreshes it before mutation:
Resolve the Vault and scratch paths with
Get-Item -LiteralPath; compare full paths usingStringComparison.OrdinalIgnoreCaseon Windows.Confirm
scratchis a directory, not a reparse point, and its parent is the intended Vault.Confirm the frozen
.pyset has exactly 92 regular, non-reparse files; record relative path, byte length, and lowercase SHA-256 for every file.Confirm T03's fresh path set and hashes exactly equal the T02 set. Any mismatch blocks execution.
Confirm neither README nor manifest exists.
Resolve
__pycache__independently. Confirm it is a directory, is not a reparse point, has the exact expected full path, and its parent full path equalsscratch.Confirm the cache descendant inventory exactly equals T02's cache snapshot; every descendant is a regular
.pycfile, with no child directories or reparse points. Current expectation is one.pycand zero child directories.Capture a pre-change fingerprint for each protected tree named by the command board. T04 must compare it after T03. A content-hash ledger is preferred; metadata alone cannot support a no-drift claim. Concurrent unrelated Vault edits must cause a blocked/partial claim, not be attributed to this mission without evidence.
Confirm T01 and T02 receipts exist and are accepted by
/root; confirm T03 remains inside its token allocation and mutation authority.
7. Exact cache-deletion gate
Immediately before deletion—after the new files have passed read-after-write verification—T03 must refresh source hashes and the cache inventory. Then validate the target in the same PowerShell process that performs deletion:
$expectedRoot = [IO.Path]::GetFullPath('D:\C-Drive-Relocated\Personal\Documents\Obsidian Vault\scratch')
$expectedCache = [IO.Path]::GetFullPath((Join-Path $expectedRoot '__pycache__'))
$rootItem = Get-Item -LiteralPath $expectedRoot -Force -ErrorAction Stop
$cacheItem = Get-Item -LiteralPath $expectedCache -Force -ErrorAction Stop
$sameCache = [String]::Equals($cacheItem.FullName, $expectedCache, [StringComparison]::OrdinalIgnoreCase)
$sameParent = [String]::Equals($cacheItem.Parent.FullName, $rootItem.FullName, [StringComparison]::OrdinalIgnoreCase)
$isReparse = [bool]($cacheItem.Attributes -band [IO.FileAttributes]::ReparsePoint)
if (-not $rootItem.PSIsContainer -or -not $cacheItem.PSIsContainer -or -not $sameCache -or -not $sameParent -or $isReparse) {
throw 'Exact cache-path validation failed; nothing was deleted.'
}
# Recompare the recursively enumerated cache paths/types/hashes to T02 here.
Remove-Item -LiteralPath $cacheItem.FullName -Recurse -Force -ErrorAction StopDo not use wildcards, unresolved environment variables, aliases, cmd.exe, cross-shell path passing, or a computed recursive target that has not passed these checks. If the refreshed cache contains anything other than the frozen generated-only set, stop and request a decision.
8. Ordered implementation schedule
| Seq. | Owner | Dependency | Action | Exit gate | SLA |
|---|---|---|---|---|---|
| 1 | T02 evaluator | T01 may run concurrently | Produce fresh scratch path/type/reparse inventory, full 92-file SHA-256 ledger, cache ledger, and protected-tree baseline. Read only; do not parse scripts. | Exact expected set or explicit drift report | 5 min |
| 2 | /root | T01 + T02 | Reconcile this blueprint against T02 evidence and authorize T03 only if every precondition matches. | Typed acceptance/stop decision | 2 min |
| 3 | T03 executor | Seq. 2 | Re-run all preflight invariants and freeze an in-memory before ledger. | Exact equality with T02 | 2 min |
| 4 | T03 executor | Seq. 3 | Create README using exclusive create-only semantics; read it back and verify required sections/encoding. | README hash and content receipt | 2 min |
| 5 | T03 executor | Seq. 4 | Generate manifest from the frozen set, create exclusively, then parse and independently recompute all 92 hashes. | 92/92 reconciliation, format/order pass | 4 min |
| 6 | T03 executor | Seq. 5 | Rehash all legacy .py files; refresh and compare exact cache inventory; run exact-path deletion gate; remove only __pycache__. | Source ledger unchanged and cache target validated | 2 min |
| 7 | T03 executor | Seq. 6 | Immediate postflight: verify cache absence, both new files, 92 unchanged source hashes, and no unexpected scratch entries. | Fresh executor receipt | 2 min |
| 8 | T04 evaluator | T03 complete | Independently repeat all acceptance checks and protected-tree comparison without trusting T03's assertions. | SUPPORTED or scoped failure | 5 min |
| 9 | /root | T04 | Inspect receipts and report only the verified scope. | Serial integration gate | 3 min |
Total planned critical path: 22–27 minutes, within the 30-minute mission SLA. No parallel writer may operate on scratch/.
9. Post-change acceptance invariants
T03 and independently T04 must establish all of these after the final material change:
scratch/remains the same normal, non-reparse directory.Exactly 92 lowercase
.pyfiles remain; relative path set, byte length, and SHA-256 equal the pre-change ledger 92/92.README.mdexists once, is a regular non-reparse file, has the required content, UTF-8-no-BOM encoding, and LF line endings.MANIFEST.sha256exists once, is a regular non-reparse file, contains exactly 92 valid records, is ordinally sorted, and every recomputed hash matches.__pycache__is absent and no other directory was removed.Scratch's only permitted delta is
+README.md,+MANIFEST.sha256, and-__pycache__/with its frozen.pyccontents.Protected-tree content fingerprints equal the T02 baseline. If there was concurrent external drift, narrow the claim and escalate rather than asserting this mission caused or avoided it.
No command transcript contains invocation/import/compilation of a legacy
.pyfile.
Suggested independent checks are Get-Item -LiteralPath, Get-ChildItem -LiteralPath ... -Force, Get-FileHash -Algorithm SHA256, byte-level README/manifest reads, and exact map comparison in PowerShell. Evidence must record command, timestamp, exit code, expected/observed counts, and key hashes.
10. Rollback and failure handling
Before cache deletion, rollback is fully bounded: remove a newly created README and/or manifest only if its current hash equals the T03 creation receipt and its path/type are exact. Never overwrite or delete a pre-existing or subsequently modified file.
After cache deletion:
The additive documentation changes remain reversible under the same ownership/hash checks.
The deleted
.pyccache is derived and non-canonical, but byte-for-byte restoration is not available under current authority because no backup artifact is authorized and regenerating it would require compilation. Do not execute or compile untrusted scripts to recreate it.If exact cache restoration is a hard requirement, stop before T03 and request explicit authority for a quarantined binary backup outside the Vault. Under the current objective, cache non-restorability is accepted residual risk, not a reason to touch source files.
If any legacy source hash changes, stop immediately with
VERIFY_FAILED; preserve all receipts, do not attempt a blind rewrite, and escalate to/rootfor recovery from an authoritative backup.If README/manifest creation or verification fails before deletion, remove only mission-created, hash-matching partial artifacts and retry at most once with a changed strategy.
If deletion fails partially, do not broaden the target or rerun unchanged. Re-inventory the exact cache path, diagnose, and use the second attempt only with a changed, still-authorized strategy.
11. Allowed final wording
Only after T04 passes may /root state:
The scratch directory is now documented as a non-executable legacy archive; a deterministic SHA-256 manifest verifies the preserved 92 Python source files; and the previously inventoried
__pycache__directory is absent. No claim is made about script safety, correctness, or historical provenance beyond byte identity.
If protected-tree evidence is incomplete, omit any whole-Vault “unchanged” claim. If any 92/92 source reconciliation fails, no completion claim is allowed.
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Advantages
- Enforces verification gates to prevent agents from making unverified claims. evidence: README.md
- Provides a durable, structured knowledge base that compounds over time. evidence: README.md
- Supports multi-agent orchestration with typed IPC and isolated write scopes. evidence: README.md
Limitations
- Does not support dynamic or cyclic graphs; graph-engineering is bounded to static DAGs. evidence: README.md
- Requires a specific transactional runtime for full functionality. evidence: AGENTS.md
Security
Risk level: Low risk
This brain runs
Agent instructions that run or fetch something (88)
AGENTS.md:V8.1 defines an explicit **5-Stage Worker Assembly Pipeline** in `workflows/worker-flows.md`, enforced by the canonical transactional runtime `python -m tools.worker_flow.cli`.AGENTS.md:**loop-engineering** — Temporal-depth control through bounded Trigger → Execute → Verify → State loops, durable contracts, hard budgets, and stop/recovery rules.AGENTS.md:`## Success Metrics` — minimum observable result for one successful run.GEMINI.md:V8.1 defines a transactional **5-Stage Worker Assembly Pipeline** (`workflows/worker-flows.md`) enforced by `python -m tools.worker_flow.cli`.skills/agent-teams-command/SKILL.md:<execute>skills/agent-teams-command/SKILL.md:Run regression tests.skills/agent-teams-command/SKILL.md:</execute>skills/agentic-engineering/SKILL.md:Run the adoption gate: use an agent only when ambiguity/adaptation outweigh orchestration, verification, and maintenance cost.skills/agentic-engineering/SKILL.md:<execute>skills/agentic-engineering/SKILL.md:only host code may execute tools or decide continuation.skills/agentic-engineering/SKILL.md:Run a thin loop: understand -> plan -> smallest change -> targeted test -> inspect diff/state -> broader check.skills/agentic-engineering/SKILL.md:</execute>skills/ai-six-sigma-property-os/SKILL.md:bounded agents execute and audit;skills/ai-six-sigma-property-os/SKILL.md:<execute>skills/ai-six-sigma-property-os/SKILL.md:</execute>skills/anthropic-os/SKILL.md:Run Four-C in order: **Context** (truth/history), **Connections** (systems/accounts), **Capabilities** (skills/SOPs/evals), **Cadence** (triggers/reviews).skills/anthropic-os/SKILL.md:<execute>skills/anthropic-os/SKILL.md:Run dual prediction when useful: human and agent predict outcome independently;skills/anthropic-os/SKILL.md:</execute>skills/behavior-design/SKILL.md:<execute>skills/behavior-design/SKILL.md:**H3 SOP:** write `trigger -> action -> evidence -> recovery -> stop` so a missed run has a next move.skills/behavior-design/SKILL.md:</execute>skills/behavior-design/SKILL.md:run a short observation period before optimizing.skills/cognitive-compile/SKILL.md:<execute>skills/cognitive-compile/SKILL.md:</execute>skills/context-manager/SKILL.md:<execute>skills/context-manager/SKILL.md:</execute>skills/creativity-engine/SKILL.md:<execute>skills/creativity-engine/SKILL.md:</execute>skills/daily-okr/SKILL.md:Run one daily objective through seven linked Key Results.skills/daily-okr/SKILL.md:<execute>skills/daily-okr/SKILL.md:**Behavior:** execute one minimum behavior linked to the objective.skills/daily-okr/SKILL.md:</execute>skills/deep-research/SKILL.md:<execute>skills/deep-research/SKILL.md:Run a broad discovery pass;skills/deep-research/SKILL.md:Run a gap-fill pass only for decision-critical unknowns.skills/deep-research/SKILL.md:Run an adversarial pass: strongest counterevidence, alternative mechanism, stale data, selection bias, and missing base rate.skills/deep-research/SKILL.md:</execute>skills/graph-engineering/SKILL.md:Run the admission gate before drawing a graph:skills/graph-engineering/SKILL.md:Probe candidate independence with a small dry run.skills/graph-engineering/SKILL.md:<execute>skills/graph-engineering/SKILL.md:Write the JSON contract and run `scripts/validate_graph_contract.py <contract.json> --strict`.skills/graph-engineering/SKILL.md:node success alone cannot certify graph success.skills/graph-engineering/SKILL.md:</execute>skills/graph-engineering/SKILL.md:run only independent ready nodes.skills/harness-engineering/SKILL.md:Run the trace gate: the harness must be able to show what the agent saw, proposed, called, changed, and verified.skills/harness-engineering/SKILL.md:<execute>skills/harness-engineering/SKILL.md:The host decides whether to execute, continue, checkpoint, or escalate;skills/harness-engineering/SKILL.md:</execute>skills/harness-engineering/SKILL.md:Verify permissions with actual environment boundaries and run an independent end-to-end trace.skills/harness-engineering/SKILL.md:A model emits plausible success text with a tool request: validate and execute the tool in host code, then verify its result;skills/harness-engineering/SKILL.md:A maintenance run finds no eligible change: emit a verified `NO_OP` receipt and zero external outputs rather than creating notification or PR noise.skills/harness-engineering/SKILL.md:The scheduler ran on time but the state store was stale: block mutation, mark the run failed, and recover from the last verified checkpoint.skills/harness-engineering/SKILL.md:A Graph worker completes twice after lease expiry: deduplicate by node/run identity and release successors only from one verified transition.skills/knowledge-ops/SKILL.md:<execute>skills/knowledge-ops/SKILL.md:**Verify:** read after write, check links/source refs, rerun exact-identity search, and run representative retrieval queries.skills/knowledge-ops/SKILL.md:Use idempotency keys for machine append operations: derive the key from operation, canonical source identity, target, and run/batch id;skills/knowledge-ops/SKILL.md:</execute>skills/knowledge-ops/SKILL.md:make no whole-vault claim.skills/loop-engineering/SKILL.md:<skill_contract> <input>A repeatable task with inspectable state, finite budgets, permissions, and an independent verifier.</input> <output>A validated Trigger -> Execute -> Verify -> State contract plus resumable run receipts.</output> <done>The declared metric or stop condition is su …[+161 chars]skills/loop-engineering/SKILL.md:**Goal:** run until a defined end state or cap.skills/loop-engineering/SKILL.md:<execute>skills/loop-engineering/SKILL.md:**Act:** execute one bounded action and capture artifact/diff/receipt.skills/loop-engineering/SKILL.md:</execute>skills/loop-engineering/SKILL.md:A scheduled job fired but produced no run receipt: status is triggered, not completed;skills/project-flow-ops/SKILL.md:<execute>skills/project-flow-ops/SKILL.md:Run the verification named in the definition of done.skills/project-flow-ops/SKILL.md:</execute>skills/session-learn/SKILL.md:<execute>skills/session-learn/SKILL.md:**Pattern** — a reusable Trigger -> Execute -> Verify -> State sequence.skills/session-learn/SKILL.md:</execute>skills/startup-evaluation/SKILL.md:<execute>skills/startup-evaluation/SKILL.md:</execute>skills/verify-before-claim/SKILL.md:<execute>skills/verify-before-claim/SKILL.md:Run the selected check after the final material change.skills/verify-before-claim/SKILL.md:</execute>skills/wiki-ingest/SKILL.md:record the identity query in the run ledger.skills/wiki-ingest/SKILL.md:<execute>skills/wiki-ingest/SKILL.md:Give every machine log entry an idempotency key derived from run/batch, operation, canonical source identity, and target;skills/wiki-ingest/SKILL.md:**Verify:** run targeted link, source-ref, frontmatter, block-ref, empty-file, navigation, and post-write exact-identity checks over touched files.skills/wiki-ingest/SKILL.md:</execute>skills/wiki-lint/SKILL.md:make no content mutation unless separately authorized.skills/wiki-lint/SKILL.md:<execute>skills/wiki-lint/SKILL.md:Run twelve checks and preserve file-level evidence:skills/wiki-lint/SKILL.md:</execute>skills/wiki-lint/SKILL.md:If repair was authorized, run the relevant check again after each bounded repair.skills/workflow-audit/SKILL.md:<execute> Extract a bounded list of distinct work candidates.skills/workflow-audit/SKILL.md:</execute>
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Mark393295827
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- Mark393295827/third-brain-v7-skills · commit 5a64514
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- ATTRIBUTION.md (written by AutoGineer)
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