Audit vercel-plugin performance on real-world projects. Extracts tool calls from Claude Code conversation logs, tests hook matching against actual inputs, identifies pattern coverage gaps, and checks plugin cache staleness. Use when asked to audit, test, or investigate plugin skill injection on a real project.
67
80%
Does it follow best practices?
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Adds up to 20 points to the overall score
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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.
The workflow ingests outsider-authored free text by reading Claude Code conversation JSONL logs from a target project at `~/.claude/projects/<encoded-project-path>/*.jsonl`, parses `message.content[].tool_use` blocks, and feeds extracted `tool_input` (e.g., `command`/`file_path`) into `matchSkills()` for hook matching.
358400a
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