Scan all open issues and PRs in stickerdaniel/linkedin-mcp-server and rank them by urgency (severity, user impact, age, references), implementation quality (for PRs — mergeability, CI, diff scope, locale-independence, test coverage), and contributor track record (prior merged PRs, review quality, response cadence). Use when the user asks "what should I tackle first as core maintainer", "which PRs are production-ready", "triage backlog", "scan open issues", or any maintainer-prioritisation question about this repo. Outputs a ranked list with rationale per item, not a fix.
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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.
SKILL.md Phase 1/2 calls `gh issue list`/`gh pr list` to retrieve outsiders’ issue/PR `body` text and then performs cross-linking by scanning PR bodies (runtime ingestion of outsider-authored free text into the LLM context for scoring and citation).
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