agency-test-results-analyzer
Pass
Audited by Gen Agent Trust Hub on Aug 11, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill defines a specialized persona and methodology for analyzing test results and quality metrics. The provided Python code is an illustrative template for performing statistical analysis and defect prediction using standard, well-known libraries.
- [INDIRECT_PROMPT_INJECTION]: The agent is designed to process external data (test results) to generate insights. This represents a potential surface for indirect prompt injection if the processed data contains malicious instructions, though this is a common functional risk for data analysis skills.
- Ingestion points: External test data is loaded into the context via
pd.read_jsonin theTestResultsAnalyzerclass. - Boundary markers: No explicit boundary markers or delimiters are defined to separate untrusted data from the agent's internal instructions.
- Capability inventory: The provided example is limited to data analysis, statistical modeling, and report generation; it lacks network operations, file writing, or shell execution capabilities.
- Sanitization: No explicit sanitization or filtering of the input JSON content is documented.
Audit Metadata