ar-policy-reviewer
Pass
Audited by Gen Agent Trust Hub on Sep 30, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill ingests and processes content from external build assets, which creates a potential surface for indirect prompt injection if the source data is compromised.
- Ingestion points:
scripts/audit_policy.pyandscripts/get_assets.pyretrieveQUALITY_REPORT,FIDELITY_REPORT, andPOLICY_DEFINITIONassets using AWS APIs. - Boundary markers: The scripts process these reports as structured JSON/dictionaries; however, there are no explicit boundary markers or warnings to the agent regarding untrusted content within these reports.
- Capability inventory: The skill uses
boto3to fetch assets and prints findings to the console. It does not possess write or execute capabilities over the external data, limiting the potential impact. - Sanitization: The scripts perform structural validation (e.g., checking for specific keys) but do not sanitize or escape the policy expressions or report text before reporting them to the agent.
- [COMMAND_EXECUTION]: The skill instructions provide workflow commands that execute local Python scripts.
SKILL.mddirects the user to runaudit_policy.pyandget_assets.pyusinguv run. These scripts interact with the environment viaargparseand perform network operations usingboto3to communicate with AWS services.
Audit Metadata