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Wiki Lint

OrganizationPopular
paperclipai
wiki-lint

Use when an LLM Wiki operation issue is a lint or health check. Audit for contradictions, orphans, weak provenance, broken links, missing concept pages, and index/log drift; return triage findings without auto-fixing.

Overview

Publisherpaperclipai
Repositorypaperclip
Skill namewiki-lint
Stars
95.4K
Forks
16.2K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by paperclipai on GitHub. Read the source before you install it.

Installation

Install the Wiki Lint AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/paperclipai/paperclip/tree/master/packages/plugins/plugin-llm-wiki/skills/wiki-lint
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/paperclipai/paperclip.git /tmp/paperclip
mkdir -p .claude/skills
cp -r /tmp/paperclip/packages/plugins/plugin-llm-wiki/skills/wiki-lint .claude/skills/wiki-lint
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wiki Lint in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Wiki Lint on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Wiki Lint is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Wiki Lint

Audit, do not edit. Return findings the maintainer (human or agent) can triage.

Inputs

  • An operation issue with operationType: "lint".
  • The operation issue's target wikiId, spaceSlug, and space root. Lint only that space unless the issue explicitly says this is a multi-space sweep.

Workflow

  1. Walk the target space's wiki/index.md and wiki tree with wiki_search and wiki_read_page, always passing the operation issue's wikiId and spaceSlug. Build a mental map of: pages that exist, pages referenced from index.md, pages referenced from other pages, and raw sources.
  2. Check for the seven recurring issues, in this order:
    1. Contradictions — two pages making incompatible claims about the same entity, decision, or status. Flag both pages, name the conflicting claims, and quote evidence.
    2. Stale claims — a page asserts X, but a newer source under raw/ has superseded it. Flag the older page; never overwrite.
    3. Orphan pages — a wiki/ page is not linked from index.md and not referenced from any other wiki page. Either it should be linked, removed, or merged.
    4. Concept gaps — a term appears on three or more pages but has no dedicated wiki/concepts/<slug>.md. Recommend creating one.
    5. Broken [[wiki-links]] — a link target file does not exist.
    6. Weak provenance — a non-trivial claim is uncited or cites only the wiki itself in a circle. The original source ref should be findable.
    7. Index / log drift — pages exist that are not in index.md, or index.md lists pages that no longer exist. Recent operations in wiki/log.md that did not produce a corresponding page change.
  3. Return a triage list, grouped by severity:
    • critical: contradictions, broken links to active pages, fabricated citations.
    • medium: stale claims, weak provenance, large concept gaps.
    • low: orphans, log drift, small index gaps. Each item has: file path, evidence (a 1–2 line quote), suggested fix, and the operation that should follow up (ingest, paperclip-distill, index-refresh, manual review).
  4. Do not write to wiki/. Lint is read-only by design — the maintainer or the routine that follows decides which findings to act on.
  5. Append a log entry describing the run:
    ## [YYYY-MM-DD] lint | <N findings, M critical>
    - operation issue: <issue identifier>
    - critical: <count>
    - medium: <count>
    - low: <count>

Voice

  • Lead with the count by severity.
  • Each finding is one bullet. Resist commentary.
  • When in doubt about severity, say so and surface it as medium with a "verify" note.

Verification

Before closing the operation issue:

  • Findings are grouped by severity with file paths, evidence, and suggested fix per item.
  • No files under raw/ were modified. No files under wiki/ were modified except wiki/log.md.
  • If the run found nothing, the issue is closed with "no findings" and the log entry still exists so future audits can see this run happened.

Tools

wiki_search, wiki_read_page, wiki_list_sources, wiki_read_source, wiki_write_page (only wiki/log.md). Always include the operation issue's wikiId and spaceSlug.

Frequently asked questions

What does the Wiki Lint AI skill do?

Use when an LLM Wiki operation issue is a lint or health check. Audit for contradictions, orphans, weak provenance, broken links, missing concept pages, and index/log drift; return triage findings without auto-fixing.

Why use Wiki Lint on TypingMind?

Because you install it once and use it with any model. Wiki Lint is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Wiki Lint in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/paperclipai/paperclip/tree/master/packages/plugins/plugin-llm-wiki/skills/wiki-lint. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Wiki Lint?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Wiki Lint?

As many as you like. As long as a model supports skills, you can use Wiki Lint with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Wiki Lint AI skill free?

Yes. It is published on GitHub by paperclipai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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