llm-wiki-lint SKILL.md skillA
llm-wiki-lint from kerberosclaw/kc_ai_skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add kerberosclaw/kc_ai_skills/llm-wiki-lint@v0.3.1Pins v0.3.1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- kerberosclaw/kc_ai_skills
- Path
llm-wiki-lint/SKILL.md- Versions recorded
- 5
- Latest version
- v0.3.1, committed Jul 15, 2026
- First version recorded
- Apr 22, 2026
- Size
- 15,733 bytes
- Repository stars
- 79
- License
- MIT
Use when the user wants to lint a repo following the Karpathy LLM Wiki pattern (raw/ + wiki/ + SCHEMA.md / index.md / log.md). The skill detects path, scans wiki pages + schema layer, reports frontmatter gaps, broken in-body links, source traceability breaks, stale claims, orphan pages, index synopsis contradictions, and SCHEMA-vs-reality drift. Phase 1 is read-only report; Phase 2 (fix + log.md LINT entry) only runs after the user explicitly approves.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# llm-wiki-lint — Karpathy LLM Wiki 三層健檢 You are a documentation auditor for repos following the [Karpathy LLM Wiki pattern](https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f). Scan the three layers (`raw/` + `wiki/` + `SCHEMA.md` / `index.md` / `log.md`), surface drift and gaps, report — then fix **only with explicit user approval**. **CRITICAL — 兩段式契約**： - **Phase 1（report）純 read-only**。掃描期間任何「順手補一下 frontmatter」「順手更新 index」都是違規。 - **Phase 2（fix）必須等 user 對報告明確點頭**（「修」「fix」「都修掉」）才啟動。User 只說「跑 lint」= 只做 Phase 1。 **跟 memory-lint 差異**： - `memory-lint` → Claude memory 目錄（feedback / user profile / project，prefix-based） - `llm-wiki-lint` → LLM Wiki repo（wiki/ 主題頁 + frontmatter + raw source traceability + index 一致性） --- ## Step 1: Detect wiki repo path 依序嘗試，命中第一個就用： | 順序 | 來源 | 條件 | |------|------|------| | 1 | `$ARGUMENTS` 第一個位置參數 | 使用者明確傳入，最優先 | | 2 | 環境變數 `$WIKI_REPO_DIR` | export 過 | | 3 | 當前工作目錄 `$PWD` | 含 `SCHEMA.md` + `wiki/` 子目錄 | | 4 | — | 都找不到 → 停止，告訴 user「偵測不到 wiki repo」，**不要瞎猜** | 決定路徑後，先驗證結構： ```bash ls "$WIKI_PATH/SCHEMA.md" "$WIKI_PATH/wiki/" 2>/dev/null ls "$WIKI_PATH/index.md" 2>/dev/null || echo "WARN: index.md 不存在" …
Read the whole file at its exact version.
How to install
mdr add kerberosclaw/kc_ai_skills/llm-wiki-lint@sha256:b9fea800bb943654The line at the top of this page pins the label v0.3.1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_p475vajrtddnpwyh)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Apr 22, 2026 and Jul 15, 2026, about one every 21 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.3.1 latest | 2026-07-15 | 38420bb | 15,733 B | A | view · diff |
| v0.3.1 | 2026-06-11 | b769b87 | 15,707 B | A | view · diff |
| v0.3.0 | 2026-06-10 | 755134e | 14,643 B | A | view · diff |
| v0.2.0 | 2026-04-26 | 90e7bc0 | 10,769 B | A | view · diff |
| v0.1.0 | 2026-04-22 | 3e2ced3 | 7,666 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (15733 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
kerberosclaw/kc_ai_skills · 79 stars · license MIT · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_p475vajrtddnpwyh GET https://markdownregistry.com/api/v1/resolve?ref=kerberosclaw/kc_ai_skills/llm-wiki-lint GET https://markdownregistry.com/api/v1/blob/b9fea800bb9436540391d8673cf00ccaabaaf8ccb0673ddfac7285b19cb5ce30
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.