Borrowing it
Nothing to install: this file belongs to RookieCol/caudal. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/RookieCol/caudal/main/.agents/skills/grill-me/SKILL.mdgit clone --depth 1 https://github.com/RookieCol/caudalWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/rookiecol/caudal/grill-me)<a href="https://agentmods.dev/skills/rookiecol/caudal/grill-me"><img src="https://agentmods.dev/badge/skills/rookiecol/caudal/grill-me/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/rookiecol/caudal/grill-me"><img src="https://agentmods.dev/badge/skills/rookiecol/caudal/grill-me.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00014 | $0.00035 |
| Opus 5.5 | $0.00006 | $0.00014 |
| Sonnet 5.5 | $0.00003 | $0.00007 |
| Haiku 4.5 | $0.00001 | $0.00003 |
Grade A, and why
grill-me scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to grill-me — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Run a /grilling session.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 8 lines · 14 tokens per session scan A 6189dfceb730
grill-me is a skill published in the GitHub repository RookieCol/caudal (0 stars, last pushed 3mo ago), licensed MIT. It adds 14 tokens to every session and 35 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to grill-me, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
auto-trader-design
Use this skill to generate well-branded interfaces and assets for Auto Trader (multi-market AI-assisted trading workspace for KR / US / crypto), either for production work or throwaway prototypes, mocks, and screenshots. Contains essential design guidelines, color + type tokens, component specs, page patterns, and a…
api-design
Guidelines for RESTful API design, resource hierarchies, endpoint naming conventions, and standardizing JSON responses.
python
Enforces FastAPI, Dependency Injection, and general Python coding standards using uv inside the server directory.
project-setup
Step-by-step instructions and CLI commands to initialize a fresh fullstack clean architecture project (React 19 + Vite frontend in web/ and FastAPI + SQLAlchemy async backend in server/) using the latest package versions via pnpm and uv without cloning.
react
Guidelines for the React frontend, TanStack ecosystem, and React 19 standards using pnpm inside web/.
database-management
Standards for SQLAlchemy async models, PostgreSQL indexing, UTC datetimes, and Alembic migrations.