qe-learning-optimization
Pass
Audited by Gen Agent Trust Hub on Mar 30, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No malicious patterns or safety bypass attempts were detected. The skill focuses on legitimate QE tasks such as framework translation (e.g., Jest to Vitest) and hyperparameter tuning.
- [COMMAND_EXECUTION]: The skill references the
aqecommand-line tool for operational tasks like knowledge transfer and performance tuning. These are standard CLI operations within the platform's automation ecosystem. - [SAFE]: The skill identifies a data ingestion surface for pattern learning from external files. This behavior is consistent with the skill's primary objective of continuous improvement.
- Ingestion points: Source code examples (
examples/**/*.ts), test examples (tests/**/*.test.ts), and user feedback (feedback/*.json) referenced in thepatternLearner.learncall in SKILL.md. - Boundary markers: No explicit boundary markers or safety instructions are defined to delimit external data.
- Capability inventory: Pattern extraction, vector database storage (
agentdb), and agent hyperparameter tuning. - Sanitization: No explicit validation or sanitization of the input files is described.
Audit Metadata