evaluate-skill
Skill2 starsChanged 18 days agoMITView on GitHub
Run a skill's fixed scenarios on each model from throwaway homes, once or several times, and judge each record by script: a review's, or whether a request started the skill. Use it before a pull request that changes a skill's prompt, description, model guidance, or reviewer instructions. Each run calls models.
8 other projects use a version of this.
Adopted by
Most recently taken up by
- foverse/seoversetheir own version, first seen Nov 8, 2026
- edonadei/calipertheir own version, first seen Nov 7, 2026
- chenwei791129/agent-skillstheir own version, first seen Oct 19, 2026
- rahulrajaram/rahulskillstheir own version, first seen Oct 13, 2026
- openai/pluginstheir own version, first seen Oct 13, 2026
- every-app/open-seotheir own version, first seen Oct 8, 2026
Other versions8 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 8
- every-app/open-seo★ 27ksame name
- openai/plugins★ 7.8ksame name
- edonadei/caliper★ 230same name
- hawkyre/hawk-skills★ 30same name
- foverse/seoverse★ 4same name
- pat-lewczuk/skills★ 3same name
- chenwei791129/agent-skills★ 0same name
- rahulrajaram/rahulskills★ 0same name
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 repository30 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- audit-repositorySkill
- change-skillSkill
- implement-changeSkill
- review-repositorySkill
- runtime-canarySkill
- shepherd-pull-requestsSkill
- audit-repositorySkill
- change-skillSkill
- evaluate-skillSkill
- implement-changeSkill
- review-repositorySkill
- runtime-canarySkill
- shepherd-pull-requestsSkill
- audit-ai-configSkill
- audit-skillSkill
- curate-agent-memorySkill
- dotnet-dependenciesSkill
- dotnet-formatSkill
- ejryan89-code-review-coreSkill
- ejryan89-skill-coreSkill
- flag-review-findingSkill
- github-activity-reportSkill
- repo-cleanupSkill
- review-documentSkill
- review-insightsSkill
- review-prsSkill
- update-coding-agent-skillsSkill
- update-pr-dashboardSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 0 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 7 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 11
Read and follow ../../../.claude/skills/evaluate-skill/SKILL.md, a path relative to this file, as the authoritative workflow.
- Very specific: line 12
Run its commands from the repository root, the folder that holds .agents and .claude, and resolve every relative path it names from there.
“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Read and follow ../../../.claude/skills/evaluate-skill/SKILL.md, a path relative to this file, as the authoritative workflow.
Run its commands from the repository root, the folder that holds .agents and .claude, and resolve every relative path it names from there.
A command that writes a shim under .agents needs an approval to run outside Codex's sandbox, which keeps .agents read-only.
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.