test-results-analyzer
Pass
Audited by Gen Agent Trust Hub on Sep 10, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [SAFE]: The skill's instructions are focused on defining a specific professional persona and methodology for data analysis. No attempts to override safety filters, bypass constraints, or extract system prompts were found.- [SAFE]: The Python code implementation provided as an example uses standard, well-known data science and machine learning libraries (pandas, numpy, scipy, matplotlib, seaborn, scikit-learn). The script performs local data processing and does not include network exfiltration, hardcoded credentials, or unauthorized file access.- [INDIRECT_PROMPT_INJECTION]: The skill has a primary purpose of ingesting and analyzing external data (test results). This creates a vulnerability surface common to all data-processing agents.
- Ingestion points: The
TestResultsAnalyzerclass inSKILL.mdreads data from atest_results_path(JSON format). - Boundary markers: None explicitly defined in the provided code snippet.
- Capability inventory: File reading, data manipulation (pandas), and statistical modeling (scikit-learn).
- Sanitization: The skill assumes the input data is well-formed JSON but does not explicitly include sanitization steps against prompt injection embedded within the test data.
Audit Metadata