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 emiliosheinz/agent-skills --skill grill-megit clone --depth 1 https://github.com/emiliosheinz/agent-skillsWrote 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/emiliosheinz/agent-skills/grill-me)<a href="https://agentmods.dev/skills/emiliosheinz/agent-skills/grill-me"><img src="https://agentmods.dev/badge/skills/emiliosheinz/agent-skills/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/emiliosheinz/agent-skills/grill-me"><img src="https://agentmods.dev/badge/skills/emiliosheinz/agent-skills/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 | $0.00117 | $0.00753 |
| Opus 5.5 | $0.00047 | $0.00301 |
| Sonnet 5.5 | $0.00023 | $0.00151 |
| Haiku 4.5 | $0.00012 | $0.00075 |
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 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 — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interview the user relentlessly until you reach a shared understanding. Map this as a design tree: every decision branches into the decisions that hang off it.
Work the tree in rounds. The frontier is every decision whose prerequisites are already settled: the questions you can ask now without guessing at answers you haven't heard yet. Ask the whole frontier in one round, then wait for the user's answers before the next round.
Asking a round
Ask every question with the AskUserQuestion tool. Never ask frontier questions as plain chat text.
- One tool call holds at most 4 questions. When the frontier is larger, ask it in consecutive calls of up to 4, most load-bearing questions first, before recomputing the frontier.
question: the full question, ending with a question mark. Include the context the user needs to decide; keep it self-contained.header: a short chip label, 12 characters max.options: 2 to 4 concrete, mutually exclusive choices, each with adescriptionstating its trade-off. Put your recommended answer first and append(Recommended)to its label. Do not add an "Other" option; the tool provides one.- Set
multiSelect: trueonly when the choices genuinely combine. - Use
previewwhen the user must compare concrete artifacts: code snippets, config, ASCII layouts, diagrams. - Open-ended questions still get options: offer the most plausible answers you can infer, and let "Other" catch the rest.
Read each answer carefully. A free-text "Other" answer may reject the premise, ask for clarification, or open a new branch; treat it as such rather than forcing it into the tree you expected.
Recomputing the frontier
Each round the user answers reshapes the tree: settled decisions push the frontier outward and unblock questions that depended on them. Recompute the frontier and ask the next round. A question whose answer depends on another question still open in this round belongs to a later round, not this one.
Facts versus decisions
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.
- 7d ago First seen · 46 lines · 117 tokens per session scan A c8f3f16201ae
grill-me is a skill published in the GitHub repository emiliosheinz/agent-skills (19 stars, last pushed 2d ago), licensed MIT. It adds 117 tokens to every session and 753 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-10-12.
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