janitor-fix
Skill123 starsChanged 3 months agoMITView on GitHub
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'.
1 other project uses a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- juanmackie/juanskillsedited, first seen Oct 20, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- juanmackie/juanskills★ 187% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository5 other files it gives its agents.
- janitor-discoverSkill
- janitor-reportSkill
- janitor-securitySkill
- janitor-swipeSkill
- janitor-valueSkill
The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 0 are distinctive, and 6 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
6
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 30
Write access to the user's own skill directories (~/.claude/skills, ./.claude/skills, ~/.agents/skills)
- Very specific: line 43
Never jump straight to --apply.
- Very specific: line 74
Solution: Every applied change is logged in data/changelog.log with a timestamp — show the log entry and restore the affected field …
- Very specific: line 80
Solution: Do not run --apply. A "broken symlink" that should be kept means its target moved — recreate the link (ln -sfn <new-target> …
- Very specific: line 88
Output: Run the dry-run, present the [DRY RUN] list ("3 fixable: 2 missing descriptions, 1 missing version"), ask for confirmation, then …
- Very specific: line 94
Output: Run --prune (dry-run), show what would be removed and why (broken symlink targets, empty dirs), confirm, then --prune --apply and …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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 ~/.claude/skills/skills-janitor/scripts/fix.sh # preview fixes
bash ~/.claude/skills/skills-janitor/scripts/fix.sh --prune # preview broken/orphaned removalsStep 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 ~/.claude/skills/skills-janitor/scripts/fix.sh --apply # apply fixes
bash ~/.claude/skills/skills-janitor/scripts/fix.sh --prune --apply # remove broken skillsWhat it fixes:
- Adds missing frontmatter delimiters (
---) - Fills empty
descriptionfields with a template - Adds missing
versionfield (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
- Error: A fix produced an unexpected result in a SKILL.md
Solution: Every applied change is logged in
data/changelog.logwith a timestamp — show the log entry and restore the affected field manually; template descriptions are meant to be replaced by the author. - Error:
[SKIP] Plugin/marketplace skill - don't modifySolution: Expected behavior, not an error. Plugin content is fixed upstream — suggest the user report the issue to the plugin author instead. - 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.login the plugin directory - For finding issues:
/janitor-report - For usage + token cost:
/janitor-value
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

