running-clustering-algorithms
Pass
Audited by Gen Agent Trust Hub on Sep 9, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill is designed to process external data sources which could theoretically contain instructions, though this is a standard risk for data analysis skills.\n
- Ingestion points: Reads from assets/example_data.csv and other user-provided dataset files during the clustering process.\n
- Boundary markers: No specific delimiters or ignore instructions markers are defined for the ingested data.\n
- Capability inventory: The skill utilizes Bash, Read, Write, and Edit tools for code generation and dataset interaction.\n
- Sanitization: Relies on the agent's internal logic to parse data files without explicit sanitization routines.\n- [DYNAMIC_EXECUTION]: The skill automates the generation and execution of Python scripts to perform complex mathematical and data science tasks.\n
- Code execution: Dynamically creates and runs Python code using libraries such as scikit-learn for algorithm execution.\n
- Script generation: Manages a set of helper scripts for data loading (data_loader.py) and evaluation (cluster_evaluator.py) as part of its workflow.
Audit Metadata