{"id":"wuji-labs-nopua","name":"nopua","af_score":30.2,"security_score":14.0,"reliability_score":20.0,"what_it_does":"nopua appears to be a Python “agent skill”/prompting component intended to change how AI agents behave (shifting from fear/threat-oriented prompting toward trust/self-respect framing) in order to improve debugging persistence and verification behavior. The provided README content describes philosophy, methodology, and benchmark claims, but does not include any concrete API/SDK interface details in the excerpt.","best_when":"You are already building/operating an AI coding/debugging agent and can integrate the skill into the model’s prompt/system instructions or agent policy layer.","avoid_when":"You need a documented, versioned programmatic API (REST/SDK/OpenAPI) with explicit auth, rate limits, and structured errors, based solely on the provided README excerpt.","last_evaluated":"2026-03-30T13:25:28.525604+00:00","has_mcp":false,"has_api":false,"auth_methods":[],"has_free_tier":false,"known_gotchas":["Because this appears to be a prompting/skill integration (not an API), “integration” is likely a matter of how you wire it into your agent/prompt pipeline; without explicit docs/examples in the provided excerpt, the exact integration steps may be unclear.","Benchmark/philosophy content is not, by itself, a guarantee of behavior in your environment; model/provider differences and tool availability can affect outcomes.","If the skill encourages “verification,” you still need to ensure your agent has the necessary tooling (test runners, linters, repository access) to actually verify claims."],"error_quality":0.0}