benchmark-store
Pass
Audited by Gen Agent Trust Hub on Apr 8, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements a benchmarking and quality assurance system for other AI skills. It contains security-related datasets in
data/red-team-guide.mdanddata/test-cases.yaml, including payloads for SQL injection and path traversal. These are documented test vectors for evaluation and do not represent malicious intent by the skill itself. - [SAFE]: The
scripts/benchmark_db.pyutility uses parameterized SQL queries with placeholders, protecting the local benchmark database from SQL injection during data insertion and management. - [SAFE]: The
interfaces/hidden_tests.pymodule uses Base64 and a simplified XOR encryption to hide test case inputs and expected outputs. This is a recognized technique in model evaluation to prevent data leakage and overfitting during training or evaluation cycles. - [SAFE]: All referenced external sources in
data/evaluation-standards.mdtarget well-known open-source repositories and community standards for AI skill development and security scanning, serving as educational and procedural references.
Audit Metadata