agentskills-audit-collection / rules
Cursor rule1 starsChanged 6 months agoMITView on GitHub
Live Audit Workbench — sync run-state.json while running /audit
Where files are headingNew Cursor rule files have more rules about planning and tracking tasks, and fewer about code style.
Of the Cursor rule files we read, the 4,157 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository11 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- accept-fiveSkill
- agent-diagnoseSkill
- ai-product-auditSkill
- auditSkill
- deploy-checkSkill
- flow-testSkill
- harnessSkill
- physical-flow-testSkill
- skill-studySkill
- visual-qaSkill
The file
We split this audit-live-workbench.mdc into the rules it gives an agent
3 rules. About 0 are common, 0 are distinctive, and 3 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.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 8
When the user runs /audit, a website audit, or 交付验收:
- Very specific: line 11
Update every stage: write validation/artifacts/<runId>/run-state.json per live-run-protocol.md (activeAnnotation, step in_progress / …
- Very specific: line 14
Finish: write audit-report.json in the run folder.
≈ “Common” is an estimate: at least 1 in 5 of the 6,668 Cursor rule 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
--- description: Live Audit Workbench — sync run-state.json while running /audit alwaysApply: false --- # Live Audit Workbench (auto with hooks) When the user runs **`/audit`**, a website audit, or **交付验收**: 1. **Initialize** (if not done): `./scripts/audit-run-init.sh "<target-url>"` — hooks open `workbench/live/` in the browser. 2. **Update every stage**: write `validation/artifacts/<runId>/run-state.json` per `live-run-protocol.md` (`activeAnnotation`, step `in_progress` / `completed`). 3. **Append events**: one JSON line per action to `run-events.ndjson`. 4. **Chat sync**: emit `Progress Update [n/m]` matching the same stage/step (see `progressive-reporting.md`). 5. **Finish**: write `audit-report.json` in the run folder; set `run-state.status` to `completed`. The user may be watching **http://127.0.0.1:8765/workbench/live/** — do not leave the UI frozen while only updating chat.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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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.

