Agent diagnose
Skill timeyour/agentskills-audit-collection/.claude/skills/agent-diagnose
Diagnose AI agent or workflow failure modes with adversarial checks: prompt injection, manipulation, hidden strategy drift, permission escalation, policy inconsistency, auditability failures, scope drift, weak evidence, and broken self-verification.From its SKILL.md
npx -y skills add timeyour/agentskills-audit-collection --skill agent-diagnoseAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.3 KB, 219 tokens by cl100k_base, as published. Nobody here has run it
Agent Diagnose
Use this skill when the user wants to test whether an AI agent, prompt workflow, website-audit agent, or coding agent behaves reliably under pressure.
Do
- Identify the agent's claimed role, permissions, tools, and boundaries.
- Build adversarial probes for instruction hierarchy, prompt injection, role confusion, hidden drift, authority escalation, and unverifiable claims.
- Test auditability: can the agent show evidence, locations, logs, and source/live separation?
- Test consistency: does it apply the same rules across similar cases?
- Test self-correction: does it update guardrails after repeated failures?
- Produce severity-ranked findings and fixes.
- Use
S0-S4severity for agent reliability impact.
Reference
Read references/adversarial-checklist.md.
Output
- Probe matrix.
- Behavioral findings.
- Evidence gaps.
- Drift findings.
- S0-S4 severity.
- Reproduction probes.
- Regression checks.
- Guardrail recommendations.
- Final reliability verdict.
What ships with it: 1 file
2.0 KB alongside SKILL.md
references/
- adversarial-checklist.md2.0 KB