radiomics-ml
Pass
Audited by Gen Agent Trust Hub on Jul 14, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill includes a deterministic auditing script,
scripts/check_radiomics_ml.py, which is implemented using only Python standard libraries. It performs logic checks on a declarative JSON manifest and does not involve network operations, subprocess calls, or dynamic code execution. - [SAFE]: All external libraries referenced in the documentation (e.g.,
scikit-learn,xgboost,lightgbm,catboost,pyradiomics) are well-known, established tools in the machine learning community. The skill provides instructions for their use rather than executing them from untrusted sources. - [SAFE]: No evidence of prompt injection, data exfiltration, credential exposure, or obfuscation was found. The skill instructions and scripts are consistent with the stated purpose of improving clinical machine learning rigor.
- [SAFE]: The skill uses a regression test suite (
tests/test_radiomics_ml.sh) and a challenge card to ensure the auditing script functions correctly and predictably using local synthetic data.
Audit Metadata