Individual skill
roast-me
Use when someone wants an honest, comedic audit of their own prompting — reads their past agent transcripts, scores prompt quality and compute efficiency, names their worst habits, builds a model-selection cheat sheet. NOT reviewing code an agent produced (that is `code-review`), NOT prompting technique in general (that is `prompt-engineering`).
skills/roast-me/SKILL.md
Source commit d9d6bb338f66cc1e23998585e580a0ea45bbcb82
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- Yes
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- Observed behavior
- Local scripts
- Last checked
- Nov 6, 2026
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Repository context
- Repository stars (not skill ratings)
- 548
- Repository last updated
- Nov 4, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- ai-coding Repository topic
- claude-code Repository topic
- cli Repository topic
- cline Repository topic
- codex Repository topic
- coding-assistant Repository topic
- cursor Repository topic
- prompting Declared skill tag
- self-audit Declared skill tag
- compute-efficiency Declared skill tag
- ai-hygiene Declared skill tag
- learning Declared skill tag
- education Derived category
- engineering Derived category
- security Derived category
Files and excerpt
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Browse files
SKILL.mdcore · 5,536 bytesevals/README.mddoc · 3,861 bytesevals/cases.yamlasset · 5,863 bytesprompts/analyze.mddoc · 5,678 bytesprompts/compute.mddoc · 4,876 bytesprompts/roast.mddoc · 7,803 bytestools/adapters/__init__.pyruns · 36 bytestools/adapters/base.pyruns · 2,503 bytestools/adapters/claude.pyruns · 4,322 bytestools/adapters/codex.pyruns · 8,147 bytestools/adapters/gemini.pyruns · 5,513 bytestools/adapters/registry.pyruns · 2,057 bytestools/extract_prompts.pyruns · 20,716 bytes
Read excerpt
# 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>