ci-test-optimization
Pass
Audited by Gen Agent Trust Hub on Oct 14, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill's primary focus is on CI pipeline optimization (latency, flakiness, caching, resources). It uses standard instructional prompts and YAML-based evaluation cases that follow industry best practices for quality engineering.
- [SAFE]: Data handling instructions emphasize the use of least privilege, masked data, and mocks for production or security work, demonstrating a strong safety posture.
- [SAFE]: The Python script
evals/fixtures/check_domain_decisions.pyis a benign validation tool that performs deterministic arithmetic and regex checks on simulated data to verify the agent's reasoning accuracy. It does not perform network operations or access sensitive system paths. - [SAFE]: The skill correctly identifies the boundary of its own capabilities, explicitly stating that it should not replace human decisions for risk acceptance or release approvals.
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