lintlisted

<!-- evaluator-ignore: content/broken-references, security/mcp-least-privilege, security/ast-behavioral --> # Lint Setup Run 39 deterministic rules + system-level analysis on the user's agent setup. No LLM involved. Fast, reproducible, CI-suitable. ## Hard Rules 1. **This skill does NOT read files qualitatively.** It does NOT apply rubrics. It does NOT run cross-type checks. For that, use `/review`. 2. **Present the data, don't judge.** Report findings as-is. Don't add qualitative commentary. 3. **If everything passes, say so clearly.** Don't manufacture problems. ## Step 1: Ask Output Preference Before doing anything else, ask the user: > Where should i present the results? > 1. **Terminal** - print the report here in the conversation > 2. **File** - write a markdown report to a file (you'll choose the path) Wait for their answer before proceeding. ## Step 2: Run Static Analysis Determine the setup path. If the user doesn't specify one, use the current working directory. ```bash uv run python skills/lint/scripts/run_assessment.py <setup-path> recommended ``` If the user has a `~/.claude/` directory, pass it as the third argument for user-level config discovery: ```bash uv run python skills/lint/scripts/run_assessment.py <setup-path> recommended ~/.claude ``` Read the JSON output. ## Step 3: Present the Report Read `report-format.md` and format the results following that structure. Include all sections: inventory, token budget, context utilization, trigger an