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LLM Wiki Manager

LLM wiki kit

Created by sametbrr

Published in sametbrr/llm-wiki-manager. Publisher page

73 GitHub stars

What it is

Agent Skills plugin for a persistent LLM-managed markdown wiki — ingest, cross-reference, cited queries and lint with 5 stdlib scripts
— the description by sametbrr

AutoGineer overview, from the brain’s own files

LLM Wiki Manager is an agent skill and plugin designed to implement the Karpathy LLM Wiki pattern. It shifts the paradigm from traditional RAG—where an LLM re-reads raw documents on every query—to a persistent, compounding knowledge base. The system maintains a clear division of labor: the user curates raw source files in a dedicated folder, while the agent manages the wiki layer, handling synthesis, cross-referencing, indexing, and bookkeeping. It includes idempotent Python scripts for maintenance tasks like linting, logging, and schema evolution, ensuring that knowledge remains structured and traceable over time.

How it works

Memory model: LLM wiki

AutoGineer overview, from the brain’s own files

The system organizes data into a three-layer model: a schema file for conventions, a raw folder for immutable source documents, and a wiki folder for synthesized content. The agent uses a set of Python scripts to manage this structure. When a user provides a source, the agent ingests it, summarizes the content, updates entity and concept pages, and logs the action. It supports advanced operations like semantic updates to propagate changes across multiple pages, automated health checks that generate dated reports, and multi-wiki routing to bridge project-specific and global knowledge bases.

Folders
FolderRoleFiles
.githubagent-config2
skillsagent-instructions27
teststests1
.claude-pluginfolder1
.codex-pluginfolder1

The agent reads

The agent writes

Requirements

Works with: Claude Code, OpenAI Codex, GitHub Copilot, Cursor, Kiro, OpenCode, Amp, Cline, JetBrains Junie, Devin (ex-Windsurf)

Set it up

  1. Download the brain as a ZIP and unzip it where you keep your notes or project: https://mp-staging.autogineer.com/agent-brains/sametbrr/llm-wiki-manager/download
  2. Claude Code reads CLAUDE.md from this folder automatically.

  3. cd llm-wiki-manager && claude

  4. AutoGineer scanned these files at commit 28ad285.

  5. Created by sametbrr. Published in sametbrr/llm-wiki-manager. Licence: MIT License.

Usage

AutoGineer overview, from the brain’s own files

  • Bootstrap a new wiki environment in a research folder.
  • Ingest PDF or text documents into the wiki.
  • Query the wiki for synthesized answers with citations.
  • Perform semantic updates to propagate information changes across the wiki.
  • Run automated health checks to identify broken links or orphan pages.
  • Route knowledge between project-specific and global wikis.
“Set up an LLM wiki here. Topic: history of nutrition science.”
The agent scaffolds the raw/ and wiki/ folders and initializes the schema file.
“Add this PDF to the wiki.”
The agent reads the source, writes a summary, updates relevant entity pages, and logs the ingestion.
“Smith 2024 supersedes Keys 1980, update the wiki.”
The agent performs a semantic sweep across all pages to update the superseded claim and logs the change.
“Lint the wiki.”
The agent runs a health check, generates a dated report in the reports folder, and updates the index.

Documentation by sametbrr

Image: Release Image: License: MIT Image: Agent Skills

Quick Start • Installation • Usage • Update mode • Multi-wiki • Compatibility

LLM Wiki Manager

An Agent Skill and plugin for Claude Code and Codex for building and maintaining a personal LLM-managed wiki — a persistent, compounding knowledge base where the LLM does all the writing, cross-referencing, and bookkeeping while you curate sources and ask questions.

🇹🇷 Türkçe için README.tr.md


Quick Start

claude plugin marketplace add sametbrr/skill-hub && claude plugin install llm-wiki-manager@skill-hub   # Claude Code
codex plugin marketplace add sametbrr/skill-hub && codex plugin add llm-wiki-manager@skill-hub         # Codex

Start a new session in your research folder:

mkdir ~/research/my-topic && cd ~/research/my-topic && claude   # or: codex
> "Set up an LLM wiki here. Topic: history of nutrition science."

Features

Instead of RAG — where the LLM rediscovers answers from raw documents on every query — this pattern has the LLM compile raw sources into a persistent, interlinked markdown wiki. Each new source enriches existing pages. Cross-references are built eagerly. Contradictions are flagged. Knowledge compounds over time.

Implements Karpathy's LLM Wiki pattern as a full agent skill with 9 operating modes (including multi-wiki routing and migrate), 5 idempotent Python scripts, 8 page templates, and 11 reference documents.

Without this pattern          With this pattern
────────────────────          ──────────────────
Query 1 → re-read 50 docs     Query 1 → read compiled wiki (already synthesized)
Query 2 → re-read 50 docs     Query 2 → read updated wiki (cross-refs already there)
Query 3 → re-read 50 docs     Query 3 → read updated wiki (contradictions already flagged)

Requirements

  • Claude Code, OpenAI Codex, or any agentskills.io-compatible agent

  • Python 3.9+ (stdlib only, for the 5 included scripts — no pip install needed)


Installation

Option 1 — Claude Code plugin (recommended)

claude plugin marketplace add sametbrr/skill-hub
claude plugin install llm-wiki-manager@skill-hub

Option 2 — Codex plugin

codex plugin marketplace add sametbrr/skill-hub
codex plugin add llm-wiki-manager@skill-hub

Option 3 — GitHub CLI, any agent (gh CLI with gh skill)

gh skill install sametbrr/llm-wiki-manager llm-wiki-manager --agent claude-code --scope user   # or --agent codex

Option 4 — manual copy: copy skills/llm-wiki-manager/ into ~/.claude/skills/ or ~/.agents/skills/.

After installing, start a new session. The skill loads automatically when relevant.


Usage

The skill auto-detects which mode applies from natural language. No slash commands needed.

> "Set up an LLM wiki here"                             # Bootstrap: scaffold raw/, wiki/ and the schema file
> "Add this PDF to the wiki"                            # Ingest: summarize, cross-reference, index, log
> "What does the wiki say about X?"                     # Query: answer with citations, offer to file back
> "Smith 2024 supersedes Keys 1980, update the wiki"    # Update: sweep every page that paraphrases the claim
> "Lint the wiki"                                       # Lint: dated health report in wiki/reports/
> "We should always do X going forward"                 # Schema-evolve: record a convention for future sessions
> "Add this to my global wiki"                          # Multi-wiki: route between project and global wiki
> "How does this pattern work?"                         # Teach: explain the pattern and compare it with RAG
Modes
ModeTrigger examplesWhat happens
Bootstrap"Set up a wiki", "start a knowledge base here"Scaffolds raw/, wiki/ and the schema file (AGENTS.md + a CLAUDE.md pointer) from templates
Ingest"Add this PDF to the wiki", "I just read X, file it"Reads source → writes summary → updates entity/concept pages → indexes → logs
Query"What does the wiki say about X?", "Compare X and Y"Reads index → candidate pages → synthesizes answer with citations → offers to file back
Update"Smith 2024 supersedes Keys 1980, update the wiki"Semantic sweep across all pages → diff-before-write per page → single log entry
Lint"Health check the wiki", "anything broken?"Runs lint_wiki.py → auto-saves wiki/reports/lint-YYYY-MM-DD.md → auto-tracks in index and log
Schema-evolve"We should always do X going forward"Updates the schema file (AGENTS.md / CLAUDE.md) so future sessions inherit the convention
Multi-wiki"Add this to my global wiki", "promote this page to global"Routes between project wiki and global wiki using the External Wiki: declaration in project CLAUDE.md
Teach"How does this pattern work?", "explain the LLM wiki idea"Explains the pattern, compares with RAG, walks through a concrete example
Full walkthrough
# 1. Go to your research folder
mkdir ~/research/my-topic && cd ~/research/my-topic && claude

# 2. Bootstrap the wiki
> "Set up an LLM wiki here. Topic: history of nutrition science."

# 3. Drop a source
cp ~/Downloads/pollan-2008.pdf raw/

# 4. Ingest it
> "Ingest Pollan's In Defense of Food"

# 5. Ask questions
> "What does the wiki say about nutritionism?"

# 6. Health check (auto-saves dated report to wiki/reports/)
> "Lint the wiki"

The three-layer model

your-wiki/
├── AGENTS.md          # Schema — conventions for this wiki (co-evolved over time)
├── CLAUDE.md          # One line: @AGENTS.md (Claude Code reads CLAUDE.md, Codex reads AGENTS.md)
├── raw/               # YOUR layer — immutable sources you curate. LLM reads, never writes.
└── wiki/              # LLM layer — all pages written and maintained by the LLM
    ├── index.md       # Content catalog (updated on every ingest)
    ├── log.md         # Append-only operation log (greppable)
    ├── hot.md         # Hot cache — most recently ingested sources and active references
    ├── sources/       # One summary page per ingested source
    ├── entities/      # People, organizations, places, products
    ├── concepts/      # Ideas, theories, frameworks, terms
    ├── notes/         # Filed-back query answers and loose pages
    └── reports/       # Auto-generated dated lint reports (wiki/reports/lint-YYYY-MM-DD.md)

Division of labor:

You doThe LLM does
Curate sources (decide what to read)Read sources end-to-end
Ask questions, steer directionWrite summaries, entity and concept pages
Review the wiki, follow linksUpdate cross-references in-place
Decide what mattersMaintain index.md and log.md
Own raw/Flag contradictions, surface gaps

You almost never write wiki pages by hand. The LLM does the bookkeeping — that's what makes the wiki compound instead of collapse.


Core disciplines

  1. LLM owns wiki/. You own raw/. No exceptions.

  2. Every operation logs to log.md via append_log.py. Greppable: grep "^## \[" log.md | tail -20

  3. Every new or updated page touches index.md via update_index.py. Stale index = wiki that feels lost.

  4. Cross-reference aggressively. When a source mentions an entity that already has a page, update that page. Don't leave connections implicit.

  5. Cite back to raw/. Every claim is traceable to a specific source file.

  6. Flag contradictions, don't overwrite. New source disagrees with old claim? Both stay, marked with their source, with a > [!warning] Sources disagree callout.

  7. Schema lives in CLAUDE.md. When a convention works, write it down. The next session starts informed.


What's inside

Scripts (Python stdlib, no dependencies, all idempotent)
ScriptPurpose
scripts/init_wiki.pyScaffold a new wiki — creates raw/, wiki/, the schema file (AGENTS.md + CLAUDE.md pointer, or keeps an existing one), index.md, log.md, and hot.md. Idempotent.
scripts/append_log.pyAppend a ## [YYYY-MM-DD] action | title entry to log.md. Supports flexible log path detection.
scripts/update_index.pyAdd or update an entry under a category in index.md. Case-insensitive categories, keeps section order and content, follows the index link style (markdown or [[wikilinks]]), new categories go before ## Meta.
scripts/lint_wiki.pyHealth check. Detects orphan pages, broken links and index drift in both standard markdown and Obsidian wiki-link format ([[page#heading]], ![[embed.png]] included). Default: writes wiki/reports/lint-<today>.md and auto-tracks. Run --stdout for terminal output.
scripts/migrate_wiki.pySchema upgrade (v1 → v2). Deduplicates index.md, moves dated changelog blocks from hot.md into log.md, stamps the schema version. Idempotent.
Templates
TemplateUsed for
wiki-CLAUDE.md.tmplThe schema file dropped into a fresh wiki
source-summary.md.tmplOne ingested source — claims, methodology, cross-links, open questions
entity-page.md.tmplPeople, organizations, places, products
concept-page.md.tmplIdeas, frameworks, theories, terms
comparison-page.md.tmpl"X vs Y" pages, often filed-back query answers
index.md.tmplInitial content catalog
log.md.tmplInitial log with bootstrap entry
hot.md.tmplInitial hot cache — rewritten after each ingest with latest sources and active references
Reference docs

Eleven detailed workflow documents in references/: philosophy.md · architecture.md · bootstrap-workflow.md · ingest-workflow.md · query-workflow.md · update-workflow.md · lint-workflow.md · migrate-workflow.md · schema-design-guide.md · multi-wiki-routing.md · teaching-mode.md

The skill reads these selectively — you don't need to. They're there to give the LLM depth on each mode.


Update mode

Standard ingest already handles contradictions on a single page (Disputes section). Update mode is for when a new source supersedes a claim that's paraphrased across multiple pages — the same idea written four different ways in four different files.

Scenario: Smith 2024 reanalysis shows Keys 1980's seven-countries study cherry-picked data.
The Keys r=0.87 claim appears as:
  concepts/saturated-fat.md     → "Keys found r=0.87 across seven countries"
  entities/ancel-keys.md        → "famous for showing strong correlation"
  concepts/heart-disease.md     → "saturated fat is a primary driver per Keys"
  concepts/dietary-policy.md    → "the saturated fat hypothesis drove decades of policy"

Update mode:
  1. Semantic sweep — finds all four (grep won't, LLM will)
  2. Shows scope: "4 pages affected. Proceed?"
  3. Diff-before-write per page — y/n/skip/edit per change
  4. Per-page strategy: revise / disputes / annotate (not one-size-fits-all)
  5. One log entry tying all four edits to Smith 2024

This is change propagation, not change tracking. The log and frontmatter track what was edited. Update mode ensures the edit reaches everywhere it should.


Auto-dated lint reports

lint_wiki.py with no flags:

  • Writes wiki/reports/lint-YYYY-MM-DD.md (overwrites same-day run — idempotent daily)

  • Adds a Reports index entry automatically

  • Appends a lint | Health check log entry automatically

  • Exits with code 1 if any block-severity issue found (useful for CI)

Reports accumulate as a longitudinal health record. git log wiki/reports/ shows how wiki quality evolved over time.

Override flags: --stdout (terminal, no tracking), --no-track (write file, skip index/log), --report PATH (custom path).


Multi-wiki

Most users start with one wiki. Once you have two — say, a per-project wiki at the working directory plus a long-lived global "second brain" (often an existing Obsidian vault) — the skill routes writes between them based on a single declaration in the project's CLAUDE.md.

~/projects/x-project/          ← active project (current working directory)
├── CLAUDE.md                  ← project schema — declares the global wiki path
├── raw/                       ← project sources
└── wiki/                      ← project wiki

~/Documents/obsidian/          ← global wiki (long-lived, exists across projects)
├── CLAUDE.md                  ← global schema
├── raw/
└── wiki/
One-time setup

Add this to the project's CLAUDE.md (or ask the agent to do it):

## External Wiki

Global knowledge base: ~/Documents/obsidian/

### Routing rules
- Project-specific code decisions, architecture, bugs, configuration → this project's `wiki/`
- Concepts, frameworks, patterns, ideas applicable beyond this project → global wiki
- When in doubt, ask before writing
- Scripts always need `--path` flag pointing to the right wiki root

### Cross-wiki links
- Use absolute paths (`~/...`) when linking from one wiki to the other.
- Never use relative paths that cross wiki boundaries.
Four canonical scenarios
#ScenarioTriggerWhat the agent does
AWrite to global while in a project"Add JWT refresh rotation to my global wiki"Reads project CLAUDE.md → resolves global path → writes to global, project wiki untouched
BPull from global into a project"What does the global wiki say about rate limiting? Apply it to /api/search"Reads global pages → synthesizes recommendation → writes a project-specific page that links to the global one (never copies)
CPromote a page from project to global"concepts/event-sourcing.md has matured, promote it"Moves content to global → leaves a one-line redirect stub at the project path → updates both indexes and logs
DLint both wikis at once"Lint both wikis"Runs lint_wiki.py --path against each → reads both reports → returns one summary

Full walkthroughs of all four scenarios in references/multi-wiki-routing.md.


Compatibility

ToolInstallSchema file it reads
Claude Codeplugin (claude plugin install llm-wiki-manager@skill-hub) or ~/.claude/skills/CLAUDE.md
OpenAI Codexplugin (codex plugin add llm-wiki-manager@skill-hub) or ~/.agents/skills/AGENTS.md
GitHub Copilot, Cursor, Gemini CLI, …gh skill install … --agent <name>usually AGENTS.md

A wiki that keeps its schema in AGENTS.md with a one-line CLAUDE.md (@AGENTS.md) works in all of them; init_wiki.py sets that up.



Contributing


License

MIT — see LICENSE.


<div align="center">

Report Bug · Request Feature

</div>

skills/llm-wiki-manager/scripts/lint_wiki.py

Shown as plain text.

#!/usr/bin/env python3
"""
lint_wiki.py — Health check an LLM-managed wiki.

Catches mechanical issues only (broken links, orphan pages, index drift, stub
pages, log gaps). Semantic issues — stale claims, unflagged contradictions,
missing pages on cross-cutting entities — are out of scope; the LLM has to
spot those by reading.

By default writes a dated report to wiki/reports/lint-YYYY-MM-DD.md, then
auto-tracks it: adds an index entry under "Reports" and appends a log entry.
Re-running on the same day overwrites the day's report (idempotent daily).

Usage:
    python lint_wiki.py                              # default: wiki/reports/lint-<today>.md + auto-track
    python lint_wiki.py --path /path/to/wiki-root
    python lint_wiki.py --stdout                     # print to stdout, no file, no tracking
    python lint_wiki.py --report /tmp/lint.md        # custom path; auto-track only if inside wiki/
    python lint_wiki.py --no-track                   # write report file but skip index + log updates
    python lint_wiki.py --stub-words 30 --log-gap-days 60   # tune thresholds

Output is markdown, organized by severity (block, quality, suggestion).
Exit code 1 if any block-severity issue found.
"""

from __future__ import annotations

import argparse
import datetime as dt
import re
import subprocess
import sys
from collections import defaultdict
from pathlib import Path


LINK_PATTERN = re.compile(
    r"\[(?P<text>[^\]]+)\]\((?P<url>[^)\s]+)(?:\s+\"[^\"]*\")?\)"
)
# Obsidian wiki-links: [[slug]], [[slug|alias]], [[slug#heading]], [[slug#^block]],
# [[folder/slug]] and embeds ![[image.png]] / ![[note]]. Group 1 is the raw target
# (before the alias); wikilink_target() strips the #heading part.
WIKILINK_PATTERN = re.compile(r"!?\[\[([^\]|]+)(?:\|[^\]]*)?\]\]")
LOG_DATE_PATTERN = re.compile(r"^## \[(\d{4}-\d{2}-\d{2})\]")
INDEX_LINK_PATTERN = re.compile(
    r"^\s*-\s*\[([^\]]+)\]\(([^)]+)\)"
)
# Obsidian-style [[slug]] or [[slug|alias]] wiki-links in index entries
INDEX_WIKILINK_PATTERN = re.compile(
    r"^\s*-\s*\[\[([^\]|]+)(?:\|[^\]]*)?\]\]"
)


FENCED_CODE = re.compile(r"^(```|~~~).*?^\1[^\n]*$", re.M | re.S)
INLINE_CODE = re.compile(r"`[^`\n]+`")


def strip_code(text: str) -> str:
    """Drop fenced blocks and inline code spans: links shown as code are examples, not links."""
    return INLINE_CODE.sub("", FENCED_CODE.sub("", text))


def wikilink_target(raw: str) -> str | None:
    """Target of a wiki-link without its #heading / #^block part; None for same-page anchors."""
    target = raw.split("#", 1)[0].strip()
    return target or None


def resolve_wikilink(target: str, wiki_dir: Path) -> tuple[str, Path]:
    """
    Resolve a wiki-link target to a file. Notes ([[slug]], [[slug.md]], [[dir/slug]])
    are searched under wiki/; attachments with another extension ([[img.png]]) are
    searched under the whole wiki root (wiki/ and raw/). Unresolved targets map to
    a nominal path that doesn't exist, so the caller reports them as broken.
    """
    suffix = Path(target).suffix.lower()
    if suffix and suffix != ".md":
        name = Path(target).name
        for base in (wiki_dir, wiki_dir.parent):
            matches = list(base.rglob(name))
            if matches:
                return f"[[{target}]]", matches[0].resolve()
        return f"[[{target}]]", (wiki_dir / target).resolve()
    slug = target[:-3] if suffix == ".md" else target
    matches = list(wiki_dir.rglob(f"{slug}.md"))
    if matches:
        return f"[[{slug}]]", matches[0].resolve()
    return f"[[{slug}]]", (wiki_dir / f"{slug}.md").resolve()


# Schema version the bundled templates/conventions correspond to.
# Kept in sync with migrate_wiki.py's registry. The script can be invoked from
# any cwd (e.g. via subprocess), so make the script dir importable first.
sys.path.insert(0, str(Path(__file__).resolve().parent))
try:
    from migrate_wiki import EXPECTED_SCHEMA_VERSION
except ImportError:
    EXPECTED_SCHEMA_VERSION = 2
from schema_file import resolve_schema_file  # noqa: E402


def is_external(url: str) -> bool:
    return url.startswith(("http://", "https://", "mailto:", "ftp://"))


def parse_frontmatter(text: str) -> dict | None:
    """
    Minimal YAML frontmatter parser (stdlib only). Supports `key: value`,
    inline lists `tags: [a, b]`, and block lists:
        tags:
          - a
          - b
    Returns None when there is no frontmatter or it can't be parsed.
    """
    if not text.startswith("---\n"):
        return None
    end = text.find("\n---", 4)
    if end == -1:
        return None
    body = text[4:end]
    data: dict = {}
    current_list_key: str | None = None
    try:
        for line in body.splitlines():
            stripped = line.strip()
            if not stripped or stripped.startswith("#"):
                continue
            if stripped.startswith("- ") and current_list_key:
                data[current_list_key].append(stripped[2:].strip().strip("'\""))
                continue
            if ":" not in stripped:
                return None
            key, _, value = stripped.partition(":")
            key = key.strip()
            value = value.split("#", 1)[0].strip()
            if value == "":
                data[key] = []
                current_list_key = key
            elif value.startswith("[") and value.endswith("]"):
                items = [v.strip().strip("'\"") for v in value[1:-1].split(",")]
                data[key] = [v for v in items if v]
                current_list_key = None
            else:
                data[key] = value.strip("'\"")
                current_list_key = None
    except (ValueError, KeyError, AttributeError, IndexError):
        return None
    return data


def is_anchor_only(url: str) -> bool:
    return url.startswith("#")


def find_md_files(wiki_dir: Path) -> list[Path]:
    """All .md files under wiki/, excluding structural files and auto-generated reports.

    Skips:
      - wiki/index.md, wiki/log.md, wiki/hot.md (structural meta files)
      - wiki/reports/* (auto-generated lint/audit artifacts; tracked separately)
    """
    skip_names = {"index.md", "log.md", "hot.md"}
    reports_dir = (wiki_dir / "reports").resolve()
    out: list[Path] = []
    for p in wiki_dir.rglob("*.md"):
        if p.name in skip_names:
            continue
        try:
            p.resolve().relative_to(reports_dir)
            continue  # path is inside reports/, skip
        except ValueError:
            pass
        out.append(p)
    return out


def collect_links(md_path: Path, wiki_dir: Path) -> list[tuple[str, Path]]:
    """
    Returns list of (raw_url, resolved_path) for all internal links in the file.
    Handles both standard markdown links [text](url) and Obsidian [[slug]] wiki-links.
    Unresolved wiki-links resolve to the nominal path wiki/<slug>.md, which does
    not exist — so check_broken_links reports them instead of skipping silently.
    """
    text = strip_code(md_path.read_text(encoding="utf-8", errors="replace"))
    out: list[tuple[str, Path]] = []

    for m in LINK_PATTERN.finditer(text):
        url = m.group("url")
        if is_external(url) or is_anchor_only(url):
            continue
        target = url.split("#", 1)[0]
        if not target:
            continue
        resolved = (md_path.parent / target).resolve()
        out.append((url, resolved))

    for m in WIKILINK_PATTERN.finditer(text):
        target = wikilink_target(m.group(1))
        if target is None:
            continue  # [[#heading]]: same-page anchor
        out.append(resolve_wikilink(target, wiki_dir))

    return out


def check_wikilink_collisions(md_files: list[Path], wiki_dir: Path) -> list[dict]:
    """
    Wiki-link slugs that resolve to more than one file under wiki/.
    The first match wins at link time, so collisions are silent ambiguity.
    """
    collisions: list[dict] = []
    seen: set[str] = set()
    for md in md_files:
        text = md.read_text(encoding="utf-8", errors="replace")
        for m in WIKILINK_PATTERN.finditer(text):
            target = wikilink_target(m.group(1))
            if target is None or Path(target).suffix.lower() not in ("", ".md"):
                continue
            slug = target[:-3] if target.lower().endswith(".md") else target
            if slug in seen:
                continue
            matches = list(wiki_dir.rglob(f"{slug}.md"))
            if len(matches) > 1:
                seen.add(slug)
                collisions.append({
                    "slug": slug,
                    "from": str(md),
                    "matches": [str(p) for p in matches],
                })
    return collisions


def check_broken_links(
    md_files: list[Path], wiki_dir: Path, raw_dir: Path,
) -> tuple[list[dict], list[dict]]:
    """
    Two outputs:
      - broken: links pointing to non-existent files inside the wiki repo
      - raw_missing: links to raw/ files that don't exist
    """
    broken: list[dict] = []
    raw_missing: list[dict] = []
    for md in md_files:
        for url, resolved in collect_links(md, wiki_dir):
            if not resolved.exists():
                # Categorize: is the target inside raw/ ?
                try:
                    resolved.relative_to(raw_dir)
                    raw_missing.append({
                        "from": str(md),
                        "url": url,
                        "resolved": str(resolved),
                    })
                except ValueError:
                    broken.append({
                        "from": str(md),
                        "url": url,
                        "resolved": str(resolved),
                    })
    return broken, raw_missing


def check_orphans(md_files: list[Path], wiki_dir: Path, root: Path) -> list[Path]:
    """
    Pages with zero inbound links from any other page in wiki/ or from structural meta files.
    Returns list of orphan page paths.
    """
    referenced: set[Path] = set()
    content_resolved = {p.resolve() for p in md_files}

    # Scan content pages + structural meta files that contain links.
    # Try both standard (wiki/index.md) and flat-vault (root/index.md) locations.
    candidate_files = list(md_files)
    for meta in [
        wiki_dir / "index.md", root / "index.md",
        wiki_dir / "hot.md", wiki_dir / "overview.md",
    ]:
        if meta.exists() and meta.resolve() not in content_resolved:
            candidate_files.append(meta)

    for md in candidate_files:
        for _url, resolved in collect_links(md, wiki_dir):
            try:
                if resolved.exists():
                    referenced.add(resolved)
            except OSError:
                continue

    orphans = [p for p in md_files if p.resolve() not in referenced]
    return orphans


def check_index_drift(
    md_files: list[Path], wiki_dir: Path,
) -> tuple[list[Path], list[dict]]:
    """
    Returns (pages_missing_from_index, dead_index_entries).
    Checks wiki/index.md first (standard layout), then root/index.md (flat layout).
    """
    for candidate in [wiki_dir / "index.md", wiki_dir.parent / "index.md"]:
        if candidate.exists():
            index_md = candidate
            index_dir = candidate.parent
            break
    else:
        return md_files, []

    text = index_md.read_text(encoding="utf-8", errors="replace")

    # Collect targets the index points to.
    indexed_targets: set[Path] = set()
    dead: list[dict] = []
    for line in text.splitlines():
        # Standard markdown links: [Title](path.md)
        m = INDEX_LINK_PATTERN.match(line)
        if m:
            title, url = m.group(1), m.group(2)
            if is_external(url) or is_anchor_only(url):
                continue
            target = (index_dir / url.split("#", 1)[0]).resolve()
            if target.exists():
                indexed_targets.add(target)
            else:
                dead.append({"title": title, "url": url, "resolved": str(target)})
            continue

        # Obsidian wiki-links: [[slug]] or [[slug|alias]]
        wm = INDEX_WIKILINK_PATTERN.match(line)
        if wm:
            target = wikilink_target(wm.group(1))
            if target is None:
                continue
            label, resolved = resolve_wikilink(target, wiki_dir)
            if resolved.exists():
                indexed_targets.add(resolved)
            else:
                # An index entry must point at a real page: a dead [[slug]] in
                # the catalog is drift, same as a dead markdown link.
                dead.append({"title": label, "url": label, "resolved": str(resolved)})

    missing = [p for p in md_files if p.resolve() not in indexed_targets]
    return missing, dead


def check_index_duplicates(wiki_dir: Path) -> list[dict]:
    """
    Index entries pointing at the same file more than once (usually a page
    listed under several categories). One page = one index entry.
    """
    for candidate in [wiki_dir / "index.md", wiki_dir.parent / "index.md"]:
        if candidate.exists():
            index_md = candidate
            index_dir = candidate.parent
            break
    else:
        return []

    occurrences: dict[Path, list[str]] = defaultdict(list)
    category = "(no category)"
    for line in index_md.read_text(encoding="utf-8", errors="replace").splitlines():
        if line.startswith("## "):
            category = line[3:].strip()
            continue
        m = INDEX_LINK_PATTERN.match(line)
        if m:
            url = m.group(2)
            if is_external(url) or is_anchor_only(url):
                continue
            target = (index_dir / url.split("#", 1)[0]).resolve()
            occurrences[target].append(category)
            continue
        wm = INDEX_WIKILINK_PATTERN.match(line)
        if wm:
            raw_target = wikilink_target(wm.group(1))
            if raw_target is None:
                continue
            _, target = resolve_wikilink(raw_target, wiki_dir)
            occurrences[target].append(category)

    return [
        {"target": str(target), "count": len(cats), "categories": cats}
        for target, cats in occurrences.items()
        if len(cats) > 1
    ]


def check_hot_health(wiki_dir: Path, max_words: int) -> list[dict]:
    """
    hot.md is a ~500-word cache, rewritten on every ingest — not a log.
    Flags: word count over threshold, and 3+ dated `## [YYYY-MM-DD]` blocks
    (a sign the file is accumulating changelog entries that belong in log.md).
    """
    for candidate in [wiki_dir / "hot.md", wiki_dir.parent / "hot.md"]:
        if candidate.exists():
            hot_path = candidate
            break
    else:
        return []

    text = hot_path.read_text(encoding="utf-8", errors="replace")
    body = text
    if body.startswith("---\n"):
        end = body.find("\n---", 4)
        if end != -1:
            body = body[end + 4:]

    findings: list[dict] = []
    words = len(body.split())
    if words > max_words:
        findings.append({
            "path": str(hot_path),
            "issue": f"{words} words (threshold {max_words}) — rewrite, don't append",
        })
    dated_blocks = sum(
        1 for line in body.splitlines() if LOG_DATE_PATTERN.match(line)
    )
    if dated_blocks >= 3:
        findings.append({
            "path": str(hot_path),
            "issue": (
                f"{dated_blocks} dated `## [...]` blocks — hot.md is turning into "
                "a second log; move them to log.md and rewrite hot.md"
            ),
        })
    return findings


def check_tag_health(
    md_files: list[Path], max_tags: int,
) -> tuple[list[dict], list[dict], int]:
    """
    Frontmatter tag hygiene:
      - single_use: tags appearing on exactly one page (keywords, not classifiers)
      - overtagged: pages with more than max_tags tags
      - unparsed: count of files whose frontmatter could not be parsed (skipped)
    """
    tag_pages: dict[str, list[Path]] = defaultdict(list)
    overtagged: list[dict] = []
    unparsed = 0
    for md in md_files:
        text = md.read_text(encoding="utf-8", errors="replace")
        if not text.startswith("---\n"):
            continue
        fm = parse_frontmatter(text)
        if fm is None:
            unparsed += 1
            continue
        tags = fm.get("tags")
        if not isinstance(tags, list):
            continue
        for tag in tags:
            tag_pages[tag].append(md)
        if len(tags) > max_tags:
            overtagged.append({"path": str(md), "count": len(tags), "tags": tags})

    single_use = [
        {"tag": tag, "page": str(pages[0])}
        for tag, pages in sorted(tag_pages.items())
        if len(pages) == 1
    ]
    return single_use, overtagged, unparsed


def check_schema_version(root: Path, schema_override: str | None = None) -> dict | None:
    """
    Compare the schema file's (AGENTS.md or CLAUDE.md) schema_version stamp against
    what this skill version expects. Unstamped wikis count as v1. Returns a finding
    dict when the wiki is behind, else None.
    """
    claude_md = resolve_schema_file(root, schema_override)
    current = 1
    if claude_md.exists():
        fm = parse_frontmatter(claude_md.read_text(encoding="utf-8", errors="replace"))
        if fm and str(fm.get("schema_version", "")).isdigit():
            current = int(fm["schema_version"])
    if current < EXPECTED_SCHEMA_VERSION:
        return {
            "current": current,
            "expected": EXPECTED_SCHEMA_VERSION,
            "hint": "run scripts/migrate_wiki.py --path <wiki-root> (dry-run) to see the upgrade steps",
        }
    return None


def check_stub_pages(md_files: list[Path], min_words: int) -> list[dict]:
    """Pages with fewer than min_words of body text (excluding frontmatter)."""
    stubs: list[dict] = []
    for md in md_files:
        text = md.read_text(encoding="utf-8", errors="replace")
        # Strip YAML frontmatter
        if text.startswith("---\n"):
            end = text.find("\n---\n", 4)
            if end != -1:
                text = text[end + 5:]
        words = len(text.split())
        if words < min_words:
            stubs.append({"path": str(md), "words": words})
    return stubs


def check_log_gaps(wiki_dir: Path, gap_days: int) -> list[dict]:
    """Look for stretches of >gap_days between log entries in log.md."""
    for candidate in [wiki_dir / "log.md", wiki_dir.parent / "log.md"]:
        if candidate.exists():
            log_path = candidate
            break
    else:
        return []
    text = log_path.read_text(encoding="utf-8", errors="replace")
    dates: list[dt.date] = []
    for line in text.splitlines():
        m = LOG_DATE_PATTERN.match(line)
        if m:
            try:
                dates.append(dt.date.fromisoformat(m.group(1)))
            except ValueError:
                continue

    if len(dates) < 2:
        return []

    dates.sort()
    gaps: list[dict] = []
    for i in range(1, len(dates)):
        delta = (dates[i] - dates[i - 1]).days
        if delta > gap_days:
            gaps.append({
                "from": dates[i - 1].isoformat(),
                "to": dates[i].isoformat(),
                "days": delta,
            })
    return gaps


def check_slug_conventions(md_files: list[Path]) -> list[Path]:
    """Filenames that aren't lowercase-with-hyphens (excluding _-prefixed)."""
    bad: list[Path] = []
    pattern = re.compile(r"^[a-z0-9][a-z0-9\-]*\.md$")
    for md in md_files:
        name = md.name
        if name.startswith("_"):
            continue
        if not pattern.match(name):
            bad.append(md)
    return bad


def render_report(results: dict, root: Path, thresholds: dict) -> str:
    """Render the lint report as markdown."""
    today = dt.date.today().isoformat()
    lines: list[str] = []
    lines.append(f"# Lint report\n")
    lines.append(f"Wiki root: `{root}`")
    lines.append(f"Date: {today}\n")

    block_count = (
        len(results["broken_links"])
        + len(results["raw_missing"])
        + len(results["index_dead"])
    )
    quality_count = (
        len(results["orphans"])
        + len(results["index_missing"])
        + len(results["stubs"])
        + len(results["slug_mismatch"])
        + len(results["index_duplicates"])
        + len(results["hot_health"])
        + len(results["overtagged"])
        + len(results["wikilink_collisions"])
    )
    suggestion_count = (
        len(results["log_gaps"])
        + len(results["single_use_tags"])
        + (1 if results["schema_version"] else 0)
    )

    lines.append(
        f"Summary: **{block_count} block**, **{quality_count} quality**, "
        f"**{suggestion_count} suggestion**.\n"
    )

    # BLOCK
    lines.append("## Block (fix without asking)\n")
    if not block_count:
        lines.append("None. ✓\n")
    else:
        if results["broken_links"]:
            lines.append(f"### Broken links ({len(results['broken_links'])})\n")
            lines.append(
                "Markdown links and `[[wiki-links]]` pointing to files that don't "
                "exist inside the wiki.\n"
            )
            for entry in results["broken_links"]:
                lines.append(
                    f"- in `{entry['from']}`: `{entry['url']}` → `{entry['resolved']}`"
                )
            lines.append("")
        if results["raw_missing"]:
            lines.append(f"### Wiki citing missing `raw/` files ({len(results['raw_missing'])})\n")
            for entry in results["raw_missing"]:
                lines.append(
                    f"- in `{entry['from']}`: `{entry['url']}` → `{entry['resolved']}`"
                )
            lines.append("")
        if results["index_dead"]:
            lines.append(f"### Dead index entries ({len(results['index_dead'])})\n")
            lines.append("`wiki/index.md` references files that don't exist.\n")
            for entry in results["index_dead"]:
                if entry["url"].startswith("[["):
                    lines.append(f"- `{entry['url']}`")
                else:
                    lines.append(f"- [{entry['title']}]({entry['url']})")
            lines.append("")

    # QUALITY
    lines.append("## Quality (propose fixes, apply with approval)\n")
    if not quality_count:
        lines.append("None. ✓\n")
    else:
        if results["orphans"]:
            lines.append(f"### Orphan pages ({len(results['orphans'])})\n")
            lines.append("Pages with no inbound links from any other page or from the index.\n")
            for p in results["orphans"]:
                lines.append(f"- `{p}`")
            lines.append("")
        if results["index_missing"]:
            lines.append(f"### Pages missing from index ({len(results['index_missing'])})\n")
            for p in results["index_missing"]:
                lines.append(f"- `{p}`")
            lines.append("")
        if results["stubs"]:
            lines.append(
                f"### Stub pages — under {thresholds['stub_words']} words "
                f"({len(results['stubs'])})\n"
            )
            for s in results["stubs"]:
                lines.append(f"- `{s['path']}` ({s['words']} words)")
            lines.append("")
        if results["slug_mismatch"]:
            lines.append(f"### Slug convention mismatch ({len(results['slug_mismatch'])})\n")
            lines.append(
                "Filenames not matching `lowercase-with-hyphens.md`.\n"
            )
            for p in results["slug_mismatch"]:
                lines.append(f"- `{p}`")
            lines.append("")
        if results["index_duplicates"]:
            lines.append(
                f"### Duplicate index entries ({len(results['index_duplicates'])})\n"
            )
            lines.append(
                "The same page is listed more than once in the index. "
                "One page = one entry; pick the best category and drop the rest.\n"
            )
            for d in results["index_duplicates"]:
                cats = ", ".join(d["categories"])
                lines.append(f"- `{d['target']}` — {d['count']} entries ({cats})")
            lines.append("")
        if results["hot_health"]:
            lines.append(f"### hot.md health ({len(results['hot_health'])})\n")
            lines.append(
                "hot.md is a ~500-word cache, rewritten entirely on every ingest.\n"
            )
            for h in results["hot_health"]:
                lines.append(f"- `{h['path']}`: {h['issue']}")
            lines.append("")
        if results["overtagged"]:
            lines.append(
                f"### Pages over {thresholds['max_tags']} tags "
                f"({len(results['overtagged'])})\n"
            )
            lines.append(
                "Tags are classifiers, not keywords — trim to the canonical list "
                "in the schema file (AGENTS.md / CLAUDE.md).\n"
            )
            for t in results["overtagged"]:
                lines.append(f"- `{t['path']}` ({t['count']} tags: {', '.join(t['tags'])})")
            lines.append("")
        if results["wikilink_collisions"]:
            lines.append(
                f"### Ambiguous wiki-link slugs ({len(results['wikilink_collisions'])})\n"
            )
            lines.append(
                "These `[[slugs]]` match more than one file; the first match wins "
                "silently. Rename to unambiguous slugs.\n"
            )
            for c in results["wikilink_collisions"]:
                lines.append(
                    f"- `[[{c['slug']}]]` (first seen in `{c['from']}`): "
                    + ", ".join(f"`{m}`" for m in c["matches"])
                )
            lines.append("")

    # SUGGESTIONS
    lines.append("## Suggestions (informational)\n")
    if not suggestion_count:
        lines.append("None. ✓\n")
    else:
        if results["log_gaps"]:
            lines.append(
                f"### Log gaps over {thresholds['log_gap_days']} days "
                f"({len(results['log_gaps'])})\n"
            )
            for g in results["log_gaps"]:
                lines.append(f"- {g['from']} → {g['to']} ({g['days']} days)")
            lines.append("")
        if results["single_use_tags"]:
            lines.append(
                f"### Single-use tags ({len(results['single_use_tags'])})\n"
            )
            lines.append(
                "A tag on exactly one page is a keyword, not a classifier — "
                "move it to the page body or merge it into a canonical tag.\n"
            )
            for s in results["single_use_tags"]:
                lines.append(f"- `{s['tag']}` (only on `{s['page']}`)")
            lines.append("")
        if results["schema_version"]:
            sv = results["schema_version"]
            lines.append("### Wiki schema behind skill version\n")
            lines.append(
                f"- Wiki is at schema v{sv['current']}, skill expects "
                f"v{sv['expected']} — {sv['hint']}"
            )
            lines.append("")
    if results.get("tag_unparsed"):
        lines.append(
            f"*Note: frontmatter could not be parsed in "
            f"{results['tag_unparsed']} file(s); tag checks skipped them.*\n"
        )

    # Reminder of out-of-scope checks
    lines.append("---\n")
    lines.append("**Not checked here (LLM responsibility):** stale claims, ")
    lines.append("unflagged contradictions, missing pages on cross-cutting entities, ")
    lines.append("schema drift between the schema file (`AGENTS.md` / `CLAUDE.md`) and actual practice.\n")
    return "\n".join(lines)


def auto_track(
    report_path: Path,
    root: Path,
    block_total: int,
    quality_count: int,
    suggestion_count: int,
    today: str,
) -> None:
    """Update index.md and log.md to record this report.

    Best-effort: failures are reported but don't abort lint.
    Only called when report is being written inside wiki/reports/.
    """
    scripts_dir = Path(__file__).resolve().parent
    summary = (
        f"{block_total} block, {quality_count} quality, {suggestion_count} suggestion"
    )
    index_title = f"Lint {today}"
    log_title = "Health check"

    # Path relative to wiki/ for the index entry
    try:
        rel = report_path.resolve().relative_to((root / "wiki").resolve())
    except ValueError:
        return

    # update_index.py
    res = subprocess.run(
        [
            sys.executable, str(scripts_dir / "update_index.py"),
            "--path", str(root),
            "--category", "Reports",
            "--title", index_title,
            "--page-path", str(report_path),
            "--summary", summary,
        ],
        capture_output=True, text=True, check=False,
    )
    if res.returncode != 0:
        print(f"warning: update_index failed: {res.stderr.strip()}", file=sys.stderr)

    # append_log.py
    details = f"Wrote wiki/{rel.as_posix()}. {summary}."
    res = subprocess.run(
        [
            sys.executable, str(scripts_dir / "append_log.py"),
            "--path", str(root),
            "--action", "lint",
            "--title", log_title,
            "--details", details,
            "--date", today,
        ],
        capture_output=True, text=True, check=False,
    )
    if res.returncode != 0:
        print(f"warning: append_log failed: {res.stderr.strip()}", file=sys.stderr)


def main() -> int:
    parser = argparse.ArgumentParser(
        description="Health check an LLM-managed wiki.",
    )
    parser.add_argument(
        "--path", default=".",
        help="Wiki root directory (default: current directory).",
    )
    parser.add_argument(
        "--report", default=None,
        help="Custom report path. Default: wiki/reports/lint-<today>.md.",
    )
    parser.add_argument(
        "--stdout", action="store_true",
        help="Print report to stdout, do not write a file (no auto-track).",
    )
    parser.add_argument(
        "--no-track", action="store_true",
        help="Write the report file but skip the auto index/log updates.",
    )
    parser.add_argument(
        "--stub-words", type=int, default=50,
        help="Pages under this many body words are flagged as stubs (default: 50).",
    )
    parser.add_argument(
        "--log-gap-days", type=int, default=30,
        help="Log gaps longer than this many days are flagged (default: 30).",
    )
    parser.add_argument(
        "--hot-max-words", type=int, default=700,
        help="hot.md over this many body words is flagged (default: 700).",
    )
    parser.add_argument(
        "--max-tags", type=int, default=4,
        help="Pages with more frontmatter tags than this are flagged (default: 4).",
    )
    parser.add_argument(
        "--schema-file", default=None,
        help="Schema file (default: auto-detect AGENTS.md / CLAUDE.md).",
    )
    args = parser.parse_args()

    root = Path(args.path).expanduser().resolve()
    wiki_dir = root / "wiki"
    raw_dir = root / "raw"

    if not wiki_dir.exists():
        print(f"error: no wiki/ directory at {root}", file=sys.stderr)
        return 1

    today = dt.date.today().isoformat()

    md_files = find_md_files(wiki_dir)

    broken, raw_missing = check_broken_links(md_files, wiki_dir, raw_dir)
    orphans = check_orphans(md_files, wiki_dir, root)
    index_missing, index_dead = check_index_drift(md_files, wiki_dir)
    stubs = check_stub_pages(md_files, args.stub_words)
    log_gaps = check_log_gaps(wiki_dir, args.log_gap_days)
    slug_mismatch = check_slug_conventions(md_files)
    index_duplicates = check_index_duplicates(wiki_dir)
    hot_health = check_hot_health(wiki_dir, args.hot_max_words)
    single_use_tags, overtagged, tag_unparsed = check_tag_health(md_files, args.max_tags)
    wikilink_collisions = check_wikilink_collisions(md_files, wiki_dir)
    schema_version = check_schema_version(root, args.schema_file)

    results = {
        "broken_links": broken,
        "raw_missing": raw_missing,
        "orphans": orphans,
        "index_missing": index_missing,
        "index_dead": index_dead,
        "stubs": stubs,
        "log_gaps": log_gaps,
        "slug_mismatch": slug_mismatch,
        "index_duplicates": index_duplicates,
        "hot_health": hot_health,
        "single_use_tags": single_use_tags,
        "overtagged": overtagged,
        "tag_unparsed": tag_unparsed,
        "wikilink_collisions": wikilink_collisions,
        "schema_version": schema_version,
    }

    report = render_report(
        results, root,
        thresholds={
            "stub_words": args.stub_words,
            "log_gap_days": args.log_gap_days,
            "max_tags": args.max_tags,
        },
    )

    block_total = len(broken) + len(raw_missing) + len(index_dead)
    quality_count = (
        len(orphans) + len(index_missing) + len(stubs) + len(slug_mismatch)
        + len(index_duplicates) + len(hot_health) + len(overtagged)
        + len(wikilink_collisions)
    )
    suggestion_count = (
        len(log_gaps) + len(single_use_tags) + (1 if schema_version else 0)
    )

    # Decide where the report goes.
    if args.stdout:
        print(report)
    else:
        if args.report:
            report_path = Path(args.report).expanduser().resolve()
        else:
            report_path = (wiki_dir / "reports" / f"lint-{today}.md").resolve()
        report_path.parent.mkdir(parents=True, exist_ok=True)
        report_path.write_text(report, encoding="utf-8")
        print(f"Report written to {report_path}")

        # Auto-track only when the report lives inside wiki/ — custom paths
        # outside the wiki are treated as one-off and not tracked.
        if not args.no_track:
            try:
                report_path.relative_to(wiki_dir.resolve())
            except ValueError:
                pass  # outside wiki/, skip tracking
            else:
                auto_track(
                    report_path, root,
                    block_total, quality_count, suggestion_count, today,
                )

    return 1 if block_total > 0 else 0


if __name__ == "__main__":
    sys.exit(main())
40 files

Advantages

  • Compounding knowledge base that synthesizes information rather than re-reading raw documents on every query. evidence: README.md
  • Automated bookkeeping and cross-referencing reduce manual maintenance effort. evidence: README.md
  • Idempotent scripts ensure reliable operations without external dependencies. evidence: README.md

Limitations

  • Requires strict adherence to the division of labor between the raw source folder and the LLM-managed wiki folder. evidence: README.md
  • Multi-wiki routing requires manual configuration of paths in the schema file. evidence: README.md

Security

Risk level: No risk found

This brain runs

Agent instructions that run or fetch something (8)

  • AGENTS.md: `tests/test_scripts.py`: functional tests that run every script against temp wikis.
  • AGENTS.md: `python3 -m unittest discover -s tests`
  • AGENTS.md: Codex: install from a local marketplace in an isolated `CODEX_HOME`;
  • skills/llm-wiki-manager/SKILL.md: Run them by path relative to this skill's directory, and always pass `--path <wiki-root>`.
  • skills/llm-wiki-manager/SKILL.md: If it is lower than the version this skill expects, offer one sentence before starting the requested work: *"This wiki is at schema v1, the skill expects v2 — run `scripts/migrate_wiki.py` first?"* Don't block the requested operation if the user declines;
  • skills/llm-wiki-manager/SKILL.md: If the section is missing and a multi-wiki operation is requested, **run Schema-evolve first** to add it, then proceed.
  • skills/llm-wiki-manager/SKILL.md: Some users run two wikis: a per-project wiki at the working directory and a long-lived global wiki (often an existing Obsidian vault) at a fixed path.
  • skills/llm-wiki-manager/SKILL.md: unstamped = v1), shows a **dry-run** of the mechanical steps plus the manual (LLM) steps, applies with `--apply` only.

Attribution and licence

Created by
sametbrr
Declared authors
  • sametbrr (declared in .claude-plugin/plugin.json)
Publisher
Samet Birer (Community)
Source
sametbrr/llm-wiki-manager · commit 28ad285
Licence
MIT License (files served here)
  • ATTRIBUTION.md (written by AutoGineer)
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