hermes-skill-hygiene-review
Skill4 starsChanged 7 months agoMITView on GitHub
Review active skills a Hermes agent created over time, then surface only questionable archive or merge candidates so the live skills directory stays useful instead of filling with stale one-off fixes. Use when: "review our skills", "audit stale skills", "what should we archive", "skill hygiene", "clean up agent-created skills", or any request to identify active skills that probably do not deserve to stay loaded.
In this repository4 other files it gives its agents.
- anthropic-managed-agentsSkill
- humanizerSkill
- moat-analyzerSkill
- vibe-auditSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
14 rules. About 0 are common, 11 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈11
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 12
Keep repeatable workflows as active skills.
- Distinctive: line 22
If you are not confident a skill belongs to the agent-created subset, skip it.
- Distinctive: line 26
Read the skill file.
- Distinctive: line 27
Check recent session history only if recurrence is unclear.
- Distinctive: line 28
Check memory or Honcho only if ongoing relevance is still unclear.
- Distinctive: line 29
Do not pull in extra sources unless the decision is stuck.
- Distinctive: line 42
Do not list obvious keepers.
- Distinctive: line 51
Do not recommend deletion.
- Distinctive: line 52
Do not move, patch, archive, or delete anything.
- Distinctive: line 53
Leave the human in the loop.
- Distinctive: line 57
If nothing is questionable:
- Distinctive: line 62
If something is questionable, reply in this format:
- Very specific: line 72
Keep the report short. Only list skills that are actually in question.
- Very specific: line 73
Only list skills that are actually in question.
≈ “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
Hermes skill hygiene review
Review only the active custom skills a Hermes agent created over time. Surface only questionable archive or merge candidates. Touch nothing automatically.
First principles
- Keep repeatable workflows as active skills.
- Store reusable facts or lessons in memory.
- Archive one-off incidents instead of leaving them active.
Review scope
- Inspect active skills under
~/.hermes/skills/. - Ignore official, community, or package-installed skills.
- Ignore explicit user-curated long-term workflow skills.
- Ignore anything already under
~/.hermes/skills-archive/. - If you are not confident a skill belongs to the agent-created subset, skip it.
Evidence order
- Read the skill file.
- Check recent session history only if recurrence is unclear.
- Check memory or Honcho only if ongoing relevance is still unclear.
- Do not pull in extra sources unless the decision is stuck.
Review questions
Ask only:
- Did this come up more than once?
- Is it tied to an ongoing project or system?
- Is it a reusable procedure instead of a one-off diagnosis?
Surface rule
Surface a skill only if two or more answers are false or unclear. Do not list obvious keepers.
Recommendation rule
Use only:
archive candidatemerge candidate
Do not recommend deletion. Do not move, patch, archive, or delete anything. Leave the human in the loop.
Output
If nothing is questionable:
- for manual use, reply exactly:
No questionable Hermes-created skills this week. - for scheduled cron use, reply exactly:
[SILENT]
If something is questionable, reply in this format:
Skills in question this week
1. /full/path/to/skill
Recommendation: archive candidate|merge candidate
Why: one short reasonKeep the report short. Only list skills that are actually in question.
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.

