Generates a deeply contextual, progressive-disclosure briefing for any GitHub repository. It builds a mental model of the code before analyzing issues and PRs to provide actionable insights. Use when asked for a "GitHub report," "repo status," "daily briefing," or to "catch up on a codebase."
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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.
SKILL.md requires reading outsider-authored GitHub issues/PR bodies and comments via `gh issue list ... --json ... body ... comments` and `gh pr list ... --json ... body ...` (and then further inspects related code/diffs), which exposes the agent to free text submitted by external users at runtime.
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 instructs the agent to run GitHub API/CLI fetches at runtime (e.g., "gh api repos/<owner/repo>/contents/" and "gh api repos/<owner/repo>/contents/<path>") that retrieve repository file contents which would be injected into the agent's context and directly influence prompts/analysis.
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