audit-verification-gates
Skill7 starsChanged 49 days agoNo licenceView on GitHub
Audit the completion-gating architecture of an agent harness — the hooks, ledgers, graders, checklists, and red-green constraints that decide when an agent may declare "done" — and flag every gate that trusts self-report, grades the execution path, or is gameable rather than mechanically anchored to deterministic external state. Invoke when reviewing or hardening how a harness's existing gates block completion (Stop / SubagentStop / PostToolUse hooks, verification ledgers, checklists, red-green/TDD constraints, eval graders) — is each existing gate's anchoring sound? — before trusting an agent's "all tests pass" / "done". Skip when the concern is run visibility — tracing, logs, metrics, exit-code plumbing (use audit-observability-setup), deciding where a rule should live — prose vs hook/gate, completion rules included (use audit-prompt-hook-placement), a critic agent approving its own producer's output (use audit-multi-agent-orchestration), or security/exfiltration architecture (use audit-lethal-trifecta).
In this repository24 other files it gives its agents.
- AGENTS.mdAGENTS.md
- architecture-committeeSkill
- audit-geo-contentSkill
- audit-github-actions-securitySkill
- audit-harness-safetySkill
- audit-instruction-fileSkill
- audit-lethal-trifectaSkill
- audit-mcp-serverSkill
- audit-memory-retrieval-integritySkill
- audit-multi-agent-orchestrationSkill
- audit-observability-setupSkill
- audit-prompt-cache-hygieneSkill
- audit-prompt-hook-placementSkill
- audit-secret-exposureSkill
- audit-self-improvement-protocolSkill
- audit-skill-qualitySkill
- audit-supply-chain-sinksSkill
- audit-tool-definitionSkill
- compress-promptSkill
- conflicting-instruction-detectorSkill
- review-codeSkill
- write-skillSkill
- write-testsSkill
- write-tool-descriptionSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “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.
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.