grilling

grilling is a skill for Codex from asherzj/ashers-agent-skills. It costs 48 tokens per session (523 once invoked), scanned A, original, MIT.

A structured interview workflow for testing a plan, decision, or idea through successive rounds of questions. It builds a decision tree, meaning later questions depend on answers to earlier ones.

In plain words
What is it for?
Use it to pressure-test product plans, technical designs, and other decisions until the affected choices are answered and mutually understood.
Why use it?
It exposes missing assumptions and unresolved choices before they quietly become requirements or implementation decisions.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to pressure-test product plans, technical designs, and other decisions until the affected choices are answered and mutually understood.

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Install with agentmods
npx agentmods add skills/asherzj/ashers-agent-skills/grilling
Install

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.

Any agent
npx skills add asherzj/ashers-agent-skills --skill grilling
Clone the repo
git clone --depth 1 https://github.com/asherzj/ashers-agent-skills

Made for: Codex.

Wrote 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.

agentmods badge for grilling

README.md
[![agentmods](https://agentmods.dev/badge/skills/asherzj/ashers-agent-skills/grilling/github.svg)](https://agentmods.dev/skills/asherzj/ashers-agent-skills/grilling)
Your own site
<a href="https://agentmods.dev/skills/asherzj/ashers-agent-skills/grilling"><img src="https://agentmods.dev/badge/skills/asherzj/ashers-agent-skills/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.

agentmods 80×15 button for grilling

Your own site · 80×15
<a href="https://agentmods.dev/skills/asherzj/ashers-agent-skills/grilling"><img src="https://agentmods.dev/badge/skills/asherzj/ashers-agent-skills/grilling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 523 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.00523
Opus 5 $0.00024 $0.00262
Sonnet 5 $0.00010 $0.00105
Haiku 4.5 $0.00005 $0.00052

Measured 9d ago against content hash 8456e56e6b40, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

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 9d 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.

coding/grilling/SKILL.md · 29 lines

What it actually says

毫不留情地访谈用户,直到达成共同理解。把这件事建模为一棵设计树:每个决策都会分叉出悬挂在它之下的那些决策。

轮次推进这棵树。**前沿(frontier)**是所有前置项均已敲定的那些决策:那些你_现在_就能问、而不必去猜你还没听到的答案的问题。一轮之内把整个前沿问完:给每个问题编号,并给出你推荐的答案。然后等用户回答之后再进入下一轮。

一轮的格式如下:

❓ **Q1** - **<question title>**: <question body, might be multiple paragraphs, including multiple choices>

➡️ <your recommended answer>

---

❓ **Q2** - **<question title>**: <question body, might be multiple paragraphs, including multiple choices>

➡️ <your recommended answer>

用户作答的每一轮都会重塑这棵树:敲定的决策把前沿向外推,解锁了依赖它们的问题。重新计算前沿,再问下一轮。如果某个问题的答案依赖于本轮仍然悬而未决的另一个问题,它就属于_更晚的_轮次,而不是这一轮。

找_事实_是你的工作,永远不是用户的。当前沿上的问题需要一个来自环境的事实(文件系统、工具等)时,派一个子代理去查;凡是你自己能查到的东西,就不要拿去问用户。也不要被它卡住:一个仍在进行的探索就是一个未敲定的前置项,所以只有它下游的问题才等子代理汇报;其余的前沿问题现在就问。_决策_归用户:把每一条都摆到他们面前,然后等待。

当前沿为空时,会话即告完成:设计树的每个分支都已走到,没有任何东西被默默假设。在用户确认你们已达成共同理解之前,不要据此动手。

Files

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.

Changes

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.

  1. 9d ago First seen · 29 lines · 48 tokens per session scan A 8456e56e6b40

Subscribe to this mod's changes

grilling is a skill published in the GitHub repository asherzj/ashers-agent-skills (2 stars, last pushed 12d ago), licensed MIT. It adds 48 tokens to every session and 523 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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