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Janitor Report

Community
khendzel
janitor-report

Full health check of all your skills in one report. Use when the user wants to check for errors, find duplicates, detect broken skills, or get a complete overview of skill health. Pass --brief for inventory only. Trigger with '/janitor-report'.

Overview

Publisherkhendzel
Repositoryskills-janitor
Skill namejanitor-report
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 Report 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-report
  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-report .claude/skills/janitor-report
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Janitor Report 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 Report 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 Report 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.

Health Report

Generate a comprehensive health report combining inventory, quality checks, duplicate detection, and broken skill findings.

Overview

One report covering every place a skill lives: user, project, codex, plugin, and source scopes. Plugin skills appear with their full invocation name (e.g. marketing-skills:image, figma:figma-use) — these were invisible to the v1.2 report. The scan JSON also includes an agents array (subagents from ~/.claude/agents — their descriptions are always-loaded too) and per-plugin update_available (installed commit vs marketplace HEAD) — surface stale plugins and heavy agents in the report.

Modes:

  • /janitor-report (default) — full health check: inventory + lint + duplicates + broken
  • /janitor-report --brief — inventory only (replaces the old /janitor-audit)

Prerequisites

  • Claude Code with the skills-janitor plugin installed (provides scripts/scan.sh, lint.sh, detect_dupes.sh)
  • bash 3.2+ (the stock macOS bash works; no external dependencies)
  • Read access to ~/.claude/skills, ~/.claude/agents, and installed plugin metadata
  • No authentication or API keys required — the scripts read local files only

Instructions

Step 1: Run the scripts

Full report:

bash
bash ~/.claude/skills/skills-janitor/scripts/scan.sh
bash ~/.claude/skills/skills-janitor/scripts/lint.sh
bash ~/.claude/skills/skills-janitor/scripts/detect_dupes.sh

Brief mode (inventory only):

bash
bash ~/.claude/skills/skills-janitor/scripts/scan.sh

Step 2: What each script covers

  • Inventory (scan.sh) — all skills across scopes, symlink status, frontmatter fields, line counts; agents and plugins (with update_available) arrays; broken_symlinks count.
  • Quality checks (lint.sh) — Critical: broken symlinks, missing SKILL.md, missing frontmatter. Warning: missing/empty name or description, description too short/long, missing version. Info: no body content, no Gotchas section, large files.
  • Duplicate detection (detect_dupes.sh) — name collisions (two distinct skills with the same qualified name at different paths) and description overlap (Jaccard similarity >30%), with cross-scope user-vs-plugin pairs explicitly surfaced (e.g. marketing-seo-audit (user) ↔ marketing-skills:seo-audit (plugin)).

Step 3: Present a unified report

Merge the three outputs into one table with severity levels, then recommend actions.

Output

| Skill                            | Scope    | Status      | Issues                                   |
|----------------------------------|----------|-------------|------------------------------------------|
| marketing-copywriting            | user     | DUPLICATE?  | 90% overlap with marketing-skills:copywriting |
| seo-audit                        | user     | WARNING     | Description too short                    |
| old-deploy-helper                | user     | CRITICAL    | Broken symlink                           |
| figma:figma-use                  | plugin   | OK          | -                                        |

Recommended actions per issue type:

  • Broken symlinks → /janitor-fix --prune
  • Quality issues → /janitor-fix
  • User-vs-plugin duplicates → uninstall the user-scope copy and rely on the plugin (or vice versa)
  • Stale plugins (update_available: true) → /plugin update <name>
  • Token waste → /janitor-value
  • Suspicious content (injection phrases, dangerous scripts) → /janitor-security
  • Unused MCP servers (run scripts/mcp.sh for the inventory) → remove the config entry or /janitor-swipe

Error Handling

  1. Error: scan.sh: No such file or directory Solution: The plugin is installed under a different root. Locate it with ls ~/.claude/skills or check the plugin cache, then run the scripts from their actual location.

  2. Error: Scan output is not valid JSON Solution: Re-run with stderr visible (drop any 2>/dev/null) and report the failing line; a skill directory with unusual characters is the usual cause.

  3. Error: plugins array is empty despite installed plugins Solution: ~/.claude/plugins/installed_plugins.json is missing or in an unknown format — report which Claude Code version is in use.

Examples

Example 1: Full health check

Input: "Check my skills for problems."

Output: Run all three scripts, merge into the severity table, and lead with counts: "175 skills scanned: 2 critical (broken symlinks), 5 warnings, 3 likely duplicates, 2 plugins have updates available."

Example 2: Inventory only

Input: "/janitor-report --brief"

Output: Run scan.sh only and present the inventory grouped by scope with per-scope counts.

Resources

  • Scripts (plugin-relative): {baseDir}/../../scripts/scan.sh, lint.sh, detect_dupes.sh
  • /janitor-fix — auto-fix the issues this report finds
  • /janitor-value — token cost + usage (combined)
  • /janitor-discover — find or evaluate new skills

Frequently asked questions

What does the Janitor Report AI skill do?

Full health check of all your skills in one report. Use when the user wants to check for errors, find duplicates, detect broken skills, or get a complete overview of skill health. Pass --brief for inventory only. Trigger with '/janitor-report'.

Why use Janitor Report on TypingMind?

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

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

Which AI models can use Janitor Report?

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 Report?

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

Is the Janitor Report 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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