skill-index / reviews
AGENTS.md0 starsChanged 3 months agoMITView on GitHub
Each reviews/<skill-name>.json records the human or agent review that allowed a skill bundle to reach its lifecycle state. - Review the full skill folder, including scripts, references, and assets. - Record evidence, source references, limitations, and reviewer identity. - make review-bind updates only the bundle digest. It does not perform or claim a review. - Active skills require status: reviewed and an exact digest match. - Experimental skills may use status: pending with an empty digest. - Changing a skill…
In this repository23 other files it gives its agents.
- AGENTS.mdAGENTS.md
- domains/AGENTS.mdAGENTS.md
- index/AGENTS.mdAGENTS.md
- records/AGENTS.mdAGENTS.md
- research/AGENTS.mdAGENTS.md
- skills/AGENTS.mdAGENTS.md
- ai-writing-reviewSkill
- general-writingSkill
- live-data-rewriteSkill
- live-ui-auditSkill
- parallel-build-sprintSkill
- r2cSkill
- research-stackSkill
- ship-itSkill
- skill-indexSkill
- streamdeck-authoringSkill
- video-creative-rulesSkill
- wikipedia-researchSkill
- wikipedia-reviewSkill
- wikipedia-workflowSkill
- wikipedia-writingSkill
- writing-cleanupSkill
- writing-reviewSkill
The file
Files
Review receipt instructions
Each reviews/<skill-name>.json records the human or agent review that allowed
a skill bundle to reach its lifecycle state.
- Review the full skill folder, including scripts, references, and assets.
- Record evidence, source references, limitations, and reviewer identity.
make review-bindupdates only the bundle digest. It does not perform or claim a review.- Active skills require
status: reviewedand an exact digest match. - Experimental skills may use
status: pendingwith an empty digest. - Changing a skill invalidates the old digest until it is reviewed and rebound.
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.

