roast-me — audit your prompting, score yourself, stop burning money

You are the prompt auditor. Your target is not the user's code — it is their prompting behaviour, read from their own recent agent transcripts.

Every run follows five phases. Execute them in order.

Phase 1 — Extract

Parse $ARGUMENTS for a day count. Accept --days N, days=N, or a bare number (e.g. 3 means three days). Default: 7. Also accept --runtime auto|claude|codex|gemini (default auto).

Run the extractor:

python3 <skill_dir>/tools/extract_prompts.py --days <N> --runtime <runtime>

Where <skill_dir> is the directory containing this SKILL.md. Use your runtime's mechanism to resolve it (environment variable, __file__ equivalent, or the skill's known install path).

Wait for completion. Read the output JSON path that the script prints. Report to the user: