review-adjudication
Pass
Audited by Gen Agent Trust Hub on Jun 22, 2026
Risk Level: SAFEPROMPT_INJECTION
Full Analysis
- [PROMPT_INJECTION]: The skill ingests untrusted data in the form of review comments, creating a potential surface for indirect prompt injection. This is mitigated by explicit instructions to separate raw input from analysis.
- Ingestion points: Review comments (excerpts and suggested fixes) are ingested from external sources as described in
references/context-pack.md. - Boundary markers:
SKILL.mdcontains a hard rule stating that "Raw review prose must not be handed to an implementer," creating a logic boundary between untrusted input and actionable output. - Capability inventory: The skill generates a markdown-based adjudication kernel and warrants. It uses a local Python tool
tools/review_adjudication_gate.pyto validate the structural consistency of these outputs. No high-privilege operations or network calls are triggered by the analysis. - Sanitization: There are no explicit instructions for escaping or sanitizing the raw review text before processing.
- [SAFE]: The Python tool
tools/review_adjudication_gate.pyis a static analysis script designed to verify markdown tables. It uses standard Python libraries and does not perform any network operations, dynamic code execution, or sensitive file access.
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