Reviews a PR in shadow at low cost: a script makes direct, cached model calls over the pr-reviewer's review packet (no harness session, no tools) and compares its findings with the full reviewer's. Writes artifacts only, never to GitHub. Invoke with /pr-review-lite.
87%
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Low
Low-risk findings worth noting
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 workflow reads PR descriptions, comments, and file diffs via GitHub API (`gh api`) and review packets, which include outsider-authored pull request text and existing thread comments.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The script makes a direct inbound API call to `https://api.anthropic.com/v1/messages` using an arbitrary user-supplied key or environment variable, constituting an unverifiable external runtime dependency with weak provenance.
mthines/agent-skills
8f81cde
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