pr-comment-analysis
Pass
Audited by Gen Agent Trust Hub on Feb 18, 2026
Risk Level: SAFECOMMAND_EXECUTIONDATA_EXFILTRATIONPROMPT_INJECTION
Full Analysis
- [Command Execution] (SAFE): The bash scripts (
analyze-pr.sh,review-loop.sh) and the agent prompts execute local Python scripts included with the skill. These operations are restricted to internal automation and data processing without evidence of arbitrary command execution or untrusted inputs to the shell.\n- [Data Exposure & Exfiltration] (LOW): The skill fetches repository metadata and comments using a user-supplied GitHub Personal Access Token. While this involves sensitive data handling, the operations target the official GitHub API (a whitelisted domain) and store data locally for user review. No unauthorized exfiltration was identified.\n- [Indirect Prompt Injection] (LOW): The skill contains a vulnerability surface where untrusted data from PR comments could influence the LLM agent's behavior during analysis.\n - Ingestion points: Untrusted data enters the agent's context through comments fetched by
pr-comment-grabber.py.\n - Boundary markers: Absent. The prompt provided in
references/analysis-prompt.mddoes not use delimiters (e.g., XML tags or triple quotes) to isolate the PR comments from the agent's core instructions.\n - Capability inventory: The agent is tasked with summarizing, prioritizing, and generating an action plan based on the untrusted data, which could be exploited to manipulate the resulting report.\n
- Sanitization: The skill lacks logic to sanitize or filter potential malicious instructions embedded in the markdown comments before they are processed by the LLM.
Audit Metadata