Audit a GitHub repo's README against best-practice patterns and produce a prioritized punch list of fixes. Runs a structured review covering hero presence, install-to-first-success length, "what is this in one sentence" clarity, audience-jargon match, scannability, and drift signals (stale versions, dead links, badge sprawl). Read-only diagnostic; opens a PR only when the user explicitly asks.
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83%
Does it follow best practices?
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Low
Low-risk findings worth noting
Low
Low-risk findings.
2 low severity findings. 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 skill explicitly accepts a GitHub URL and performs `gh repo view` + shallow clone and scans README text, recent commits, file tree, and GitHub signals (see SKILL.md §1.2–1.3), meaning it ingests arbitrary public GitHub repos (user-generated/untrusted content) and uses that content to drive classification, scoring, and potential edits — enabling indirect prompt injection.
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 skill explicitly fetches a user-supplied GitHub repository URL at runtime (e.g., https://github.com/owner/repo or git@github.com:owner/repo.git via `gh repo view` + clone) and injects the README/manifest/file-tree content into the audit prompts, so external repo content directly controls the model's inputs.
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