What problem does it solve? Verifying that a Claude plugin correctly injects skills into realistic projects requires manual, repetitive testing. This Skill automates the full loop: creating test projects, exercising skill injection via claude --print, launching dev servers, analyzing conversation logs, and producing actionable improvement reports. ## Core Features & Use Cases - Four-Stage Pipeline: Chains runner, verify, analyze, and report stages sequentially, aborting on failure with NDJSON event tracking in events.jsonl. - Precise Session Correlation: Uses run-manifest.json to link JSONL conversation sessions to projects instead of guessing from directory listings. - Machine-Readable Reports: Generates report.json with verdicts, skill injection gaps, and copy-pasteable suggestedPatterns for fixing frontmatter. - Use Case: Run the suite overnight in a loop, then wake up to timestamped reports showing which expected skills (auth, payments, ai-sdk) were never injected and exactly which glob patterns to add. ## Quick Start Run the benchmark suite with bun run scripts/benchmark-e2e.ts, optionally adding --quick to test only the first three projects.