feature-impact-analyzer
Pass
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: SAFEPROMPT_INJECTION
Full Analysis
- Indirect Prompt Injection (LOW): The skill exposes a surface where untrusted data from processed files could influence the agent's behavior.
- Ingestion points: The scripts
scripts/calculate_ice.pyandscripts/calculate_rice.pyingest data from external CSV files provided by the user via the--csvargument. - Boundary markers: Absent. The scripts output the raw
feature_namestring from the CSV directly into the agent's observation space (stdout), providing no delimiters to separate data from instructions. - Capability inventory: Both Python scripts have the capability to write to the local filesystem via the
--outputargument. While intended for saving results, this could be abused to overwrite sensitive files if the agent is not properly constrained. - Sanitization: The scripts validate numerical values (Reach, Impact, Effort, etc.) as floats, which prevents injection in those fields. However, the
feature_namestring is not sanitized or escaped before being output to the console.
Audit Metadata