optimize-mock-data
Pass
Audited by Gen Agent Trust Hub on May 20, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill's primary function is to process local JSON files for structural normalization and auditing. This is performed using local Python scripts that do not require external dependencies or network access.
- [SAFE]: No evidence of hardcoded credentials, sensitive file access outside the target corpus, or network-based data exfiltration was found.
- [SAFE]: The Python scripts (shape.py, diff-shapes.py, normalize.py, shrink.py, trim.py) use standard library modules exclusively, mitigating third-party package risks.
- [SAFE]: The skill uses
disable-model-invocation: truein its frontmatter, and no prompt injection patterns (e.g., instructions to bypass safety) are present in the documentation. - [SAFE]: While the skill processes external data (JSON fixtures), it does so via deterministic logic in scripts rather than passing untrusted content directly to the LLM as instructions. The risk of indirect prompt injection is minimal given the structural analysis use case.
Audit Metadata