Agent skill

Grill Me

by feiskyer in feiskyer/codex-settings

仅当用户显式调用 $grill-me,或明确要求"追问我""挑战这个方案""拷打这个设计"时使用。通过高强度逐问逐答检验方案,并同步沉淀术语表和 ADR。不要因普通设计讨论自动触发。

MITAuto-check passedAgent Workflows

Install Grill Me

skills CLI
$ npx skills add feiskyer/codex-settings --skill grill-me -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install feiskyer/codex-settings grill-me --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/feiskyer/codex-settings.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/grill-me .claude/skills/grill-me && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
grill-me
GitHub stars
244
Token cost
~284 tokens
SKILL.md length
60 words
Files
4 (incl. references)
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

仅当用户显式调用 $grill-me,或明确要求"追问我""挑战这个方案""拷打这个设计"时使用。通过高强度逐问逐答检验方案,并同步沉淀术语表和 ADR。不要因普通设计讨论自动触发。

  • Works in 3 steps: 难以逆转 — 将来改变主意的代价可观 → 缺乏上下文则令人费解 — 未来读者会困惑"为什么这样做?" → 确实是权衡的结果 — 存在真正的替代方案,且基于具体理由选了其一
  • Tasks that involve Requirements gathering
  • SKILL.md covers 核心规则, 追问时的动作 and ADR 的门槛
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Grill Me is an agent skill from feiskyer/codex-settings. 仅当用户显式调用 $grill-me,或明确要求"追问我""挑战这个方案""拷打这个设计"时使用。通过高强度逐问逐答检验方案,并同步沉淀术语表和 ADR。不要因普通设计讨论自动触发。

Its SKILL.md is about 280 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `agents/openai.yaml`, `references/adr.md` and `references/context-md.md`).

It sits in Agent Workflows, covering Requirements gathering and Architecture decision records. The repository describes itself as: Curated skills, profiles, and config templates that supercharge Codex CLI — multi-model, deep research, image gen & browser automation. The licence is MIT.

When your agent uses it

  • Tasks that involve Requirements gathering
  • Tasks that involve Architecture decision records

Example prompts

  • “挑战这个方案”
  • “拷打这个设计”
  • “/grill-me”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. 难以逆转 — 将来改变主意的代价可观
  2. 缺乏上下文则令人费解 — 未来读者会困惑"为什么这样做?"
  3. 确实是权衡的结果 — 存在真正的替代方案,且基于具体理由选了其一

What it can do on your machine

Read from SKILL.md and the folder at commit d7f6570. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Grill Me loads about 284 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 26 tokens; SKILL.md has 60 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~284
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from feiskyer/codex-settings at commit d7f6570, republished under its MIT licence (© feiskyer). 60 words, ~284 tokens.

Download SKILL.mdSave it as .claude/skills/grill-me/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
grill-me
description
仅当用户显式调用 `$grill-me`,或明确要求"追问我""挑战这个方案""拷打这个设计"时使用。通过高强度逐问逐答检验方案,并同步沉淀术语表和 ADR。不要因普通设计讨论自动触发。

追问会话

对方案的每一个方面不留死角地追问,沿设计决策树逐条走,直到达成共识。追问过程中一旦有决策结晶,就立即沉淀成术语表和决策记录。

开始前先看有没有既有材料:根目录的 CONTEXT.md 或 CONTEXT-MAP.md,以及 docs/adr/ 下已有的 ADR。有就读,据此知道哪些概念和决策已经定过。

参考何时读
references/context-md.md第一个术语敲定、要真正写入 CONTEXT.md 时;或需要判断单上下文还是多上下文结构时
references/adr.md一个决策通过了下面三条门槛、要落笔写 ADR 时

核心规则

一次只问一个问题,等回复后再问下一个。一次抛出多个问题会让人无所适从。每个问题都给出你的推荐答案。

能从代码库查到的事实就直接查,不要问。但决策权在用户手里 —— 每个决策都提出来,等回答。

在用户明确确认达成共识之前,不要开始执行方案。

追问时的动作

对照术语表质疑。 用户的用词与 CONTEXT.md 里的定义冲突时立即指出:"你的术语表把'取消'定义为 X,但你现在似乎指的是 Y —— 到底是哪个?"

磨尖模糊表达。 遇到含糊或多义的词,提出精确的规范术语:"你说的'账户' —— 是 Customer 还是 User?这是两个不同概念。"

用具体场景压力测试。 讨论领域关系时构造边界场景,逼出概念之间的精确边界。

与代码交叉验证。 用户陈述某物如何运作时,去看代码是否一致,发现矛盾立即暴露:"你的代码取消的是整个 Order,但你刚说可以部分取消 —— 哪个是对的?"

即时写入,不要攒批。 术语一敲定就更新 CONTEXT.md。懒创建:文件不存在就在第一个术语确定时建。

ADR 的门槛

三条全部成立才写 ADR:

  1. 难以逆转 — 将来改变主意的代价可观
  2. 缺乏上下文则令人费解 — 未来读者会困惑"为什么这样做?"
  3. 确实是权衡的结果 — 存在真正的替代方案,且基于具体理由选了其一

© feiskyer, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in skills/grill-me of feiskyer/codex-settings.

  • SKILL.md
  • agents/openai.yaml
  • references/adr.md
  • references/context-md.md

Open the folder on GitHubat commit d7f6570

Compare with similar skills

Grill Me next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Grill Me compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Grill Me this skillfeiskyer/codex-settings244—~284Automated safety check: PassMIT
Deep Divebyungjunjang/jangpm-meta-skills120—~2.5kAutomated safety check: PassNone
Grill Menrwl/nx29k—~1.2kAutomated safety check: PassMIT
Grill Memacalbert/envilder138—~1kAutomated safety check: PassMIT
Grill Mefeiskyer/claude-code-settings1.7k—~913Automated safety check: PassMIT
Grill With Docsmeain/dotfiles28520 repos~875Automated safety check: PassMIT

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Categories

Questions about Grill Me

What does Grill Me do?

仅当用户显式调用 $grill-me,或明确要求"追问我""挑战这个方案""拷打这个设计"时使用。通过高强度逐问逐答检验方案,并同步沉淀术语表和 ADR。不要因普通设计讨论自动触发。. Grill Me is an agent skill from feiskyer/codex-settings.

When should I use Grill Me?

Grill Me fits situations like: tasks that involve Requirements gathering; tasks that involve Architecture decision records.

How do I install Grill Me in Claude Code?

Run `npx skills add feiskyer/codex-settings --skill grill-me -a claude-code`. Or copy the skill folder (skills/grill-me in feiskyer/codex-settings) into .claude/skills/grill-me in your project. Claude Code loads it when a task matches its description.

How do I install Grill Me in Codex?

Run `npx skills add feiskyer/codex-settings --skill grill-me -a codex`. Or copy the skill folder (skills/grill-me in feiskyer/codex-settings) into .agents/skills/grill-me in your project. Codex loads it when a task matches its description.

Can I use Grill Me in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add feiskyer/codex-settings --skill grill-me -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/grill-me, .gemini/skills/grill-me, .github/skills/grill-me and .opencode/skills/grill-me in your project.

What does Grill Me need to run?

SKILL.md names no scripts, command-line tools or credentials: Grill Me is instructions for the agent only.

Does Grill Me access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Grill Me safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Grill Me use?

Grill Me is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Grill Me use?

About 284 tokens (SKILL.md is roughly 1.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1k tokens, read only when the agent opens those files.

What are the alternatives to Grill Me?

Skills that share tags, products or a category with Grill Me: Deep Dive (byungjunjang/jangpm-meta-skills, 120 stars), Grill Me (nrwl/nx, 29k stars), Grill Me (macalbert/envilder, 138 stars) and Grill Me (feiskyer/claude-code-settings, 1.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Grill Me?

feiskyer (a GitHub user) maintains it in feiskyer/codex-settings, which has 244 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on September 27, 2026.

Source: feiskyer/codex-settings on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.