python-design
Pass
Audited by Gen Agent Trust Hub on Oct 16, 2026
Risk Level: SAFECOMMAND_EXECUTIONDYNAMIC_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [SAFE]: The skill provides a structured framework for analyzing Python architecture and includes scripts to maintain a pattern database. No malicious patterns, persistence mechanisms, or credential exposures were identified.
- [COMMAND_EXECUTION]: Scripts such as
pipeline.pyandmerge_findings.pyutilizesubprocess.runto orchestrate internal validation tasks and querygitmetadata. These operations are scoped to the local environment and are used for routine maintenance without accepting untrusted shell input. - [DYNAMIC_EXECUTION]: The skill's documentation (
flow.md,CONTEXT.md) describes design patterns involvingeval()andexec()for code generation. These are included as architectural examples from mainstream libraries and are not used for runtime execution within the skill's own utility scripts. - [INDIRECT_PROMPT_INJECTION]: The skill processes JSON data produced by subagent explorations. It mitigates potential injection risks by employing strict JSON schema validation (
patterns-db.schema.json) and specific extraction logic to ensure data integrity before merging findings into the central database.
Audit Metadata