statistical-analyst
Pass
Audited by Gen Agent Trust Hub on Jul 27, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements statistical distributions and tests (Welch's t, Chi-square, Mann-Whitney U, etc.) using only the Python standard library. This avoids third-party dependency risks and keeps the execution environment isolated.
- [SAFE]: No network operations (curl, wget, requests) or data exfiltration patterns were detected in any of the scripts. Data processing is restricted to local JSON input files.
- [SAFE]: Analysis of all scripts and instructions revealed no signs of obfuscation, malicious command execution, or persistence mechanisms.
- [SAFE]: The skill includes self-test functionality in
stats_core.pyandtest_impl.pyto verify mathematical accuracy against published reference values, which is a security best practice for transparent implementation. - [SAFE]: The instruction set in
SKILL.mdis focused on methodological guidance and decision-making logic without any attempts to bypass safety filters or override agent constraints.
Audit Metadata