Evaluate a PR's title and description against its actual implementation, then iteratively suggest and apply updates. Use when the user asks to check, fix, or update a PR title or description.
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89%
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The required workflow calls `gh pr view <pr> --json title,body` and `gh pr diff <pr>`, which ingest outsider-authored PR body text (and diff/commit messages) from the repository’s PR into the agent’s LLM context at runtime, creating an indirect prompt-injection risk.
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