wiki-lint

wiki-lint is a skill for Claude Code from flsteven87/llm-wiki-mcp. It costs 253 tokens per session (2,125 once invoked), scanned A, original, MIT.

A health check for a Karpathy-style LLM wiki, a collection of linked pages containing information for language models. It produces a report about contradictions, outdated claims, missing links and gaps.

In plain words
What is it for?
Reviewing wiki quality, finding orphan pages and missing cross-references, and suggesting research topics. It reports findings but does not fix them.
Why use it?
It helps reveal where the wiki is inconsistent, stale or incomplete before someone edits it.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md.

Part of the llm-wiki-skills plugin — 4 skills shipped together

Good fit Reviewing wiki quality, finding orphan pages and missing cross-references, and suggesting research topics. It reports findings but does not fix them.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/flsteven87/llm-wiki-mcp/wiki-lint
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add flsteven87/llm-wiki-mcp --skill wiki-lint
Clone the repo
git clone --depth 1 https://github.com/flsteven87/llm-wiki-mcp

Made for: Claude Code.

Or install llm-wiki-skills, the plugin that ships this one along with the rest of its 4 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for wiki-lint

README.md
[![agentmods](https://agentmods.dev/badge/skills/flsteven87/llm-wiki-mcp/wiki-lint/github.svg)](https://agentmods.dev/skills/flsteven87/llm-wiki-mcp/wiki-lint)
Your own site
<a href="https://agentmods.dev/skills/flsteven87/llm-wiki-mcp/wiki-lint"><img src="https://agentmods.dev/badge/skills/flsteven87/llm-wiki-mcp/wiki-lint/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for wiki-lint

Your own site · 80×15
<a href="https://agentmods.dev/skills/flsteven87/llm-wiki-mcp/wiki-lint"><img src="https://agentmods.dev/badge/skills/flsteven87/llm-wiki-mcp/wiki-lint.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 253 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,125 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00253 $0.02125
Opus 5 $0.00127 $0.01063
Sonnet 5 $0.00051 $0.00425
Haiku 4.5 $0.00025 $0.00213

Measured 12d ago against content hash 30cadce617d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

wiki-lint scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

src/llm_wiki_mcp/skills/wiki-lint/SKILL.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.

wiki-lint

Health-check an existing Karpathy-style LLM wiki. The pattern this skill follows is described in https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f.

Karpathy's lint description, verbatim:

Periodically, ask the LLM to health-check the wiki. Look for: contradictions between pages, stale claims that newer sources have superseded, orphan pages with no inbound links, important concepts mentioned but lacking their own page, missing cross-references, data gaps worth filling with a web search.

He also notes the LLM is good at suggesting new questions to investigate and new sources to look for. Treat that as a seventh, forward-looking output of lint.

Lint reports; it does not fix. Every finding is advisory. The user decides which ones warrant action, and fixes happen through wiki-ingest (when a new source corrects or extends the claim) or through direct edits on the relevant page. Auto-rewriting during a health check would defeat the point.

Prerequisites

  • A wiki exists. If not, run wiki-init first.
  • The llm-wiki-mcp server is wired into this session. If wiki_inventory is not callable, tell the user to add the server to their MCP client config and restart.

Pre-flight

Read CLAUDE.md. This is the authoritative schema — page categories, frontmatter fields, link conventions, and operation vocabulary. The user may have evolved it since wiki-init. Honor the current state, not the defaults.

Flow

1. Snapshot

wiki_inventory()

One call returns every page's slug, frontmatter, body length, mtime, etag, links_out, and computed links_in, plus the full parsed log. This is the deterministic backbone for checks 3, 4, and 5.

2. Deterministic checks (from the snapshot alone)

These do not require reading page bodies.

Check 3 — Orphan pages. Any page with links_in == [] is an orphan. summary pages are expected to be reached from the index rather than from other pages, so they are not automatically orphans; host Read index.md once and cross-check — flag a summary page only if it has no index entry either. Entity, concept, comparison, overview, and synthesis pages with zero inbound links are reportable orphans regardless of index presence.

Read the full file on GitHub · 205 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 205 lines · 253 tokens per session scan A 30cadce617d7

Subscribe to this mod's changes

wiki-lint is a skill published in the GitHub repository flsteven87/llm-wiki-mcp (1 stars, last pushed 5mo ago), licensed MIT. It adds 253 tokens to every session and 2,125 once invoked, about $0.0013 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens