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Janitor Fix

Community
khendzel
janitor-fix

Automatically fix skill problems (safe preview first). Also use with --prune to find and remove broken symlinks, empty directories, and orphaned skills. Trigger with '/janitor-fix'.

Overview

Publisherkhendzel
Repositoryskills-janitor
Skill namejanitor-fix
Stars
124
Forks
19
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 khendzel on GitHub. Read the source before you install it.

Installation

Install the Janitor Fix 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/khendzel/skills-janitor/tree/main/skills/janitor-fix
  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/khendzel/skills-janitor.git /tmp/skills-janitor
mkdir -p .claude/skills
cp -r /tmp/skills-janitor/skills/janitor-fix .claude/skills/janitor-fix
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Janitor Fix 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 Janitor Fix 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 Janitor Fix 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.

Auto-Fix

Automatically fix common skill issues. Dry-run by default — shows what would change without modifying files.

Overview

Repairs frontmatter problems (missing delimiters, empty descriptions, missing version fields) across user, project, and codex-scope skills, and — in --prune mode — removes broken symlinks and empty skill directories. Plugin/marketplace skills are never modified (changes would be overwritten on update).

Prerequisites

  • Claude Code with the skills-janitor plugin installed (provides scripts/fix.sh)
  • bash 3.2+ (the stock macOS bash works; no external dependencies)
  • Write access to the user's own skill directories (~/.claude/skills, ./.claude/skills, ~/.agents/skills)

Instructions

Step 1: Preview first (always)

bash
bash ~/.claude/skills/skills-janitor/scripts/fix.sh            # preview fixes
bash ~/.claude/skills/skills-janitor/scripts/fix.sh --prune    # preview broken/orphaned removals

Step 2: Show the user the preview and confirm

Never jump straight to --apply. Present the [DRY RUN] lines and ask before writing.

Step 3: Apply

bash
bash ~/.claude/skills/skills-janitor/scripts/fix.sh --apply           # apply fixes
bash ~/.claude/skills/skills-janitor/scripts/fix.sh --prune --apply   # remove broken skills

What it fixes:

  • Adds missing frontmatter delimiters (---)
  • Fills empty description fields with a template
  • Adds missing version field (defaults to "1.0.0")
  • Generates template descriptions using the skill folder name

Prune mode finds and removes:

  • Broken symlinks — skill folder points to deleted source
  • Empty directories — skill folder with no SKILL.md
  • Orphaned skills — user-scope copies of plugin skills

Safety model: dry-run by default (must pass --apply to write), skips plugin/marketplace skills, logs ALL changes with timestamps to data/changelog.log, always asks for confirmation before removing.

Output

Per-skill action lines ([DRY RUN] / [FIXED] / [PRUNED] / [SKIP]) followed by a summary of fixable issues, skipped items, and prunable entries. In dry-run mode the summary ends with "Run with --apply to make these changes."

Error Handling

  1. Error: A fix produced an unexpected result in a SKILL.md Solution: Every applied change is logged in data/changelog.log with a timestamp — show the log entry and restore the affected field manually; template descriptions are meant to be replaced by the author.

  2. Error: [SKIP] Plugin/marketplace skill - don't modify Solution: Expected behavior, not an error. Plugin content is fixed upstream — suggest the user report the issue to the plugin author instead.

  3. Error: Prune lists a skill the user wants to keep Solution: Do not run --apply. A "broken symlink" that should be kept means its target moved — recreate the link (ln -sfn <new-target> <link>) instead of pruning.

Examples

Example 1: Safe fix cycle

Input: "Fix my skills."

Output: Run the dry-run, present the [DRY RUN] list ("3 fixable: 2 missing descriptions, 1 missing version"), ask for confirmation, then run --apply and report the [FIXED] lines.

Example 2: Cleanup of broken leftovers

Input: "Remove broken skills."

Output: Run --prune (dry-run), show what would be removed and why (broken symlink targets, empty dirs), confirm, then --prune --apply and report the [PRUNED] lines.

Resources

  • Fix script (plugin-relative): {baseDir}/../../scripts/fix.sh
  • Change log of applied fixes: data/changelog.log in the plugin directory
  • For finding issues: /janitor-report
  • For usage + token cost: /janitor-value

Frequently asked questions

What does the Janitor Fix AI skill do?

Automatically fix skill problems (safe preview first). Also use with --prune to find and remove broken symlinks, empty directories, and orphaned skills. Trigger with '/janitor-fix'.

Why use Janitor Fix on TypingMind?

Because you install it once and use it with any model. Janitor Fix 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 Janitor Fix in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/khendzel/skills-janitor/tree/main/skills/janitor-fix. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Janitor Fix?

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 Janitor Fix?

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

Is the Janitor Fix AI skill free?

Yes. It is published on GitHub by khendzel 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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