What problem does it solve? When reviewing pull requests for the LinkedIn MCP server, maintainers need objective proof that a PR actually fixes a reported issue rather than just plausible-looking code. This Skill checks out the PR locally, restarts the MCP server on the PR branch, replays the exact MCP tool call that failed on main, diffs the outputs, and audits the diff against scraping rules to produce a clear verdict. ## Core Features & Use Cases - Baseline Replay: Reuses the on-main baseline and tool-call metadata captured by /2-repro-issue to re-run the identical MCP call against the PR branch over streamable HTTP. - Verdict Classification: Classifies the PR as fixes cleanly, fixes with concerns, does not fix, cannot run, or cannot verify due to skill limitations, with evidence from the output diff. - Scraping Rule Audit: Flags locale-dependent detection, LinkedIn class-name selectors, multi-navigation section mappings, and missing tests per CLAUDE.md rules. - Use Case: A maintainer asks "does PR #498 fix issue #470?" — the Skill checks out the PR, replays the failing get_person_profile call, diffs the JSON responses, and reports a verdict with merge recommendation. ## Quick Start Ask the assistant to verify PR #498 against the issue it fixes, after running /2-repro-issue to capture the on-main baseline.