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Janitor Discover

Community
khendzel
janitor-discover

Find new skills on GitHub or check a specific skill before installing. Use when the user wants to search for skills, evaluate a skill URL, check overlap and security risk before installing, or compare a local skill against alternatives. Trigger with '/janitor-discover'.

Overview

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

Use it in TypingMind

Enable Janitor Discover 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 Discover 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 Discover 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.

Skill Discovery & Pre-Install Check

Combined entry point for finding skills on GitHub and for evaluating a specific skill (URL or local path) before installing it.

Overview

Replaces the v1.2 split between /janitor-search and /janitor-precheck. The dispatcher picks the right mode from the argument shape. Search results are relevance-gated (a repo must carry a skill signal in its name/description/topics) and ranked by relevance before stars, so generic mega-repos don't crowd out actual skills.

ArgumentModeWhat runs
Keyword(s) like seo or n8n workflowsDiscoverysearch.sh — find matching skills on GitHub
--compare <skill-name>Comparisonsearch.sh --compare — find alternatives to a local skill
Full URL: https://github.com/user/skillPre-install checkprecheck.sh — analyze before installing
Short repo: user/skillPre-install checkprecheck.sh (auto-expanded to URL)
Local path: ~/path/to/skillPre-install checkprecheck.sh (local folder)

Pre-install mode runs two checks, not one: overlap against what's already installed, and (since v1.6) a security scan of the candidate via security.sh — the same heuristics /janitor-security uses on installed skills.

Prerequisites

  • Claude Code with the skills-janitor plugin installed (provides scripts/discover.sh, search.sh, precheck.sh, compare.sh)
  • bash 3.2+ and curl
  • Network access to api.github.com (anonymous OK; set GITHUB_TOKEN for higher rate limits and code search)

Instructions

Step 1: Dispatch on argument shape

bash
bash ~/.claude/skills/skills-janitor/scripts/discover.sh <query-or-url> [options]

Examples:

  • discover.sh seo — search for SEO-related skills
  • discover.sh n8n --limit 20 — top 20 n8n skills
  • discover.sh --compare marketing-seo-audit — alternatives to a local skill
  • discover.sh https://github.com/user/my-skill — check before installing
  • discover.sh user/my-skill — same, short form

Step 2: Present results per mode

Discovery mode — ranked list of GitHub repos with skill name, description, stars, last updated, and a one-line verdict.

Pre-install mode — two sections. First, overlap analysis: which of the user's existing skills (including plugin skills) overlap with the candidate by description, and a recommendation to install / skip / replace. Second, a --- Security (<scope>) --- block.

Always report the security scope back to the user, because it differs by source:

SourceScanned
Local pathFull directory — SKILL.md and bundled scripts
URL / user/repoFetched SKILL.md only — scripts are never downloaded, so re-check after cloning

A PASS on a remote URL therefore means "nothing suspicious in the text we could see", not "this repo is safe". Say so when the candidate ships scripts.

Output

Discovery: a numbered table (repository, stars, updated, INSTALLED/AVAILABLE status).

Pre-install: overlap buckets (HIGH ≥60%, MODERATE 30–59%, LOW <30%) with shared keywords and a final verdict line (HIGH_OVERLAP / MODERATE_OVERLAP / SAFE), plus a security block that prints either No suspicious patterns found. (PASS), Security scan unavailable. (UNKNOWN), or VERDICT: REVIEW|RISK followed by one severity + title + evidence line per finding. With --json, the same data lands under a security key (verdict, scope, findings).

Error Handling

  1. Error: GitHub API rate limit exceeded Solution: Set the GITHUB_TOKEN environment variable (any classic token, no scopes needed) and re-run; anonymous search allows only a few requests per minute.

  2. Error: Could not fetch SKILL.md from <url> Solution: The repo keeps its SKILL.md at a non-standard path — pass a direct URL to the SKILL.md file, or a local clone path instead.

  3. Error: No results for a valid topic Solution: The relevance gate drops repos without any skill signal. Broaden the keyword (e.g. n8n skill → n8n) or check the cached results note — results are cached for 24h in data/search-cache.json.

  4. Error: Security scan unavailable. (verdict UNKNOWN) Solution: security.sh failed or returned no parseable JSON — the overlap result is still valid, but do not present the candidate as security-checked. Re-run, or scan after cloning with /janitor-security.

Examples

Example 1: Find skills by topic

Input: "Find me an n8n skill."

Output: Run discover.sh n8n, present the ranked table, and flag any result already installed.

Example 2: Check before installing

Input: "Is github.com/user/seo-helper worth installing?"

Output: Run discover.sh https://github.com/user/seo-helper, then summarize: overlap with existing skills, the verdict (e.g. "MODERATE_OVERLAP — 45% with marketing-skills:seo-audit"), the security verdict, and a recommendation. Note that only the fetched SKILL.md was scanned.

Example 3: Candidate trips the security scan

Input: "Check user/handy-helper before I install it."

Output: Run discover.sh user/handy-helper. If the security block reports VERDICT: RISK, lead with that rather than the overlap number — quote the finding's severity, title and evidence, explain that RISK means "read this before trusting it" (not "malware"), and remind the user that bundled scripts were not fetched.

Resources

  • Dispatcher (plugin-relative): {baseDir}/../../scripts/discover.sh
  • Search cache: data/search-cache.json (24h TTL)
  • /janitor-security — same scan, run across everything already installed
  • /janitor-report — health check of currently installed skills
  • /janitor-value — are existing skills earning their context cost
  • /janitor-fix — fix issues with installed skills

Frequently asked questions

What does the Janitor Discover AI skill do?

Find new skills on GitHub or check a specific skill before installing. Use when the user wants to search for skills, evaluate a skill URL, check overlap and security risk before installing, or compare a local skill against alternatives. Trigger with '/janitor-discover'.

Why use Janitor Discover on TypingMind?

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

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

Which AI models can use Janitor Discover?

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 Discover?

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

Is the Janitor Discover 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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