Address actionable GitHub pull request review feedback. Use when the user wants to inspect unresolved review threads, requested changes, or inline review comments on a PR, then implement selected fixes. Use the GitHub app for PR metadata and flat comment reads, and use the bundled GraphQL script via `gh` whenever thread-level state, resolution status, or inline review context matters.
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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 step “use the bundled `scripts/fetch_comments.py` workflow” runs `gh api graphql` to fetch GitHub PR `comments`, `reviews.body`, and `reviewThreads.comments.body` (outsider-authored text from other contributors) which is then emitted as JSON and used as LLM context for “review follow-up,” enabling indirect prompt injection.
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