receiving-code-review
Pass
Audited by Gen Agent Trust Hub on Sep 12, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill ingests external code review artifacts, such as reports and PR feedback, which are considered untrusted data. These inputs could potentially contain instructions aimed at subverting the agent's workflow or influencing code generation.\n
- Ingestion points: The workflow involves reading
<resolution-report>and<source-report>files, processed byscripts/validate_disposition_report.py.\n - Boundary markers: The skill employs structured Markdown templates (references/disposition-template.md) and a Formal Challenge Protocol to structure the analysis, though it does not explicitly sanitize the text content for injection patterns.\n
- Capability inventory: The skill possesses the capability to write resolution reports, implement code changes in the repository, and execute a local validation script via Python.\n
- Sanitization:
scripts/validate_disposition_report.pyperforms structural validation using regular expressions to ensure the report follows the required schema, but it does not perform semantic sanitization of the natural language fields against prompt injection.\n- [COMMAND_EXECUTION]: The skill executes local Python scripts usingsubprocess.run.\n - Evidence: Found in
scripts/validate_disposition_report.pyandscripts/test_validate_disposition_report.py. The execution is restricted to calling a sibling validation script (validate_review_report.py) or its own validator during tests using the current Python executable. This is a controlled execution of internal tools.
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