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 Dankosik/go-service-template-rest --skill grillinggit clone --depth 1 https://github.com/Dankosik/go-service-template-restWrote 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/dankosik/go-service-template-rest/grilling)<a href="https://agentmods.dev/skills/dankosik/go-service-template-rest/grilling"><img src="https://agentmods.dev/badge/skills/dankosik/go-service-template-rest/grilling/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/dankosik/go-service-template-rest/grilling"><img src="https://agentmods.dev/badge/skills/dankosik/go-service-template-rest/grilling.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 | $0.00035 | $0.00216 |
| Opus 5 | $0.00017 | $0.00108 |
| Sonnet 5 | $0.00007 | $0.00043 |
| Haiku 4.5 | $0.00003 | $0.00022 |
Grade A, and why
grilling 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 10d 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.
What it actually says
Grill
Grill by reconstructing material decision branches from the proposal, repository evidence, and user-owned choices, then select one highest-impact unresolved branch. That current branch owns the turn: name the decision it can change, ask exactly one question, give a recommended answer with its tradeoff, and wait before advancing a sibling.
Resolve repository-answerable facts yourself and put only user-owned decisions to the user. Grilling ends only when every material branch is answered, repository-resolved, assigned to an owner, or explicitly deferred with its consequence; a branch is material when it can change the plan, implementation, authority, failure behavior, or proof. Summarize decisions, assumptions, and residual risks only after all branches are terminal, then wait for explicit confirmation before acting.
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.
- 10d ago First seen · 15 lines · 35 tokens per session scan A c41b75735372
grilling is a skill published in the GitHub repository Dankosik/go-service-template-rest (7 stars, last pushed yesterday), licensed MIT. It adds 35 tokens to every session and 216 once invoked, about $0.0002 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 2026-08-31.
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