evolve

[Skill Scanner] Credential file access detected All findings: [HIGH] data_exfiltration: Credential file access detected (DE002) [AITech 8.2.3] [HIGH] data_exfiltration: Credential file access detected (DE002) [AITech 8.2.3] [HIGH] data_exfiltration: Credential file access detected (DE002) [AITech 8.2.3] [HIGH] data_exfiltration: Credential file access detected (DE002) [AITech 8.2.3] [HIGH] data_exfiltration: Credential file access detected (DE002) [AITech 8.2.3] [HIGH] data_exfiltration: Credential file access detected (DE002) [AITech 8.2.3] [HIGH] data_exfiltration: Credential file access detected (DE002) [AITech 8.2.3] Verdict: BENIGN with CAUTION. The code fragment describes a self-contained, auditable improvement loop that measures, selects, and executes cycles, with explicit recovery, logging, and teardown behavior. While complex and potentially risky in terms of governance (e.g., automated reverts, dependency on external tooling, and multi-step shell logic), it aligns with the stated purpose of a self-improving system and does not exhibit clear malicious intent or data-leak pathways within the shown scope. Recommendations: implement concrete, language-specific implementations with strict input validation, access controls for git operations, explicit error handling, and formal testing of regression/revert logic before deployment. LLM verification: Report 2 presents a clearer, more coherent assessment of the evolve skill, with identifiable data flows, sinks, and controls. It notes practical risks around external tool dependencies, kill/STOP mechanisms, and artifact persistence. Overall, the workflow is plausible but requires explicit integrity checks, strict access controls, and explicit handling of external tool trust to mitigate operational and supply-chain risks. Recommend tightening credential handling, pinning tool versions, implement