docs-impact-classifier
Pass
Audited by Gen Agent Trust Hub on Oct 12, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
- Indirect Prompt Injection Surface: The skill processes content directly from pull requests, including diffs, titles, and descriptions, which constitutes untrusted data.
- Ingestion points: Untrusted data enters the agent context through the execution of
gh pr diffand the inclusion of PR metadata (Step 3 inSKILL.md). - Boundary markers: The skill's instructions do not specify the use of clear delimiters or explicit instructions for the LLM to ignore embedded commands or directions found within the PR content.
- Capability inventory: The skill performs subprocess calls to
ghandgrep(referenced in Step 1 and Step 2) to analyze files and symbols. - Sanitization: There is no evidence of sanitization, filtering, or escaping of the PR text before it is interpolated into the context envelope for the LLM classifier.
- Command Execution Profile: The skill's logic is built upon the execution of system commands to inspect the repository state.
- It utilizes
gh pr diff --name-only,gh pr diff --stat, andgrepto perform its analysis. These are standard utility calls for a documentation impact classifier, but they serve as the mechanism for ingesting the untrusted data used in subsequent steps.
Audit Metadata