Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add edonadei/caliper --skill grill-skillgit clone --depth 1 https://github.com/edonadei/caliperWrote 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/edonadei/caliper/grill-skill)<a href="https://agentmods.dev/skills/edonadei/caliper/grill-skill"><img src="https://agentmods.dev/badge/skills/edonadei/caliper/grill-skill.svg" alt="Measured on agentmods" 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 | $0.00057 | $0.00745 |
| Opus 5 | $0.00028 | $0.00373 |
| Sonnet 5 | $0.00011 | $0.00149 |
| Haiku 4.5 | $0.00006 | $0.00075 |
Grade A, and why
grill-skill 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Grill Skill
Interview the user to design a skill's eval, then loop run → measure → improve until it ships. Requires caliper (pipx install caliper-eval if missing). Commands, spec skeleton, and expect/assert guidance: REFERENCE.md.
Entry point
/grill-skill [path] — optional path to a SKILL.md.
- Path given — use it.
- No path — look for
SKILL.mdin the cwd; if found, confirm before proceeding, else ask where it is.
Phase 1 — Understand
Read the SKILL.md. Summarize what it does, when it triggers, and what a successful run looks like. Ask the user to confirm your reading. Wait for confirmation before continuing.
Phase 2 — Detect eval mode
Look for *.eval.yaml beside the SKILL.md (try <dir-name>.eval.yaml first).
- None → New eval. Found → Gap-fill.
Interview one question at a time and wait for each answer. Never invent the user's answers or write the spec before interviewing.
New eval — three tasks
Elicit three tasks, one question at a time:
- Happy path — the most common successful use. What did the agent do, and what would confirm it worked?
- Edge case — a tricky-but-valid input that might trip the raw agent.
- Adversarial — what the skill should refuse or avoid.
Turn each answer into a task: a realistic prompt, an observable expect, and an assert when the outcome is checkable (see REFERENCE.md). Show the proposed YAML and confirm before writing.
Write the spec beside SKILL.md, named <dir-name>.eval.yaml, with skill.path: ./SKILL.md and claude-code as the default backend for both skill and judge unless the SKILL.md targets another.
Gap-fill
Read the existing spec and report its tasks. Ask what behaviors are missing or under-tested before proposing or writing anything — even if the user only asked you to inspect it, report first, then ask. Sharpen each gap into a task, show it, and confirm before writing it in.
Phase 3 — First run
What ships with it
2 files 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.
- 7d ago First seen · 56 lines · 57 tokens per session scan A ccbeb4385055
grill-skill is a skill published in the GitHub repository edonadei/caliper (50 stars, last pushed 7d ago), licensed MIT. It adds 57 tokens to every session and 745 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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