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 feiskyer/codex-settings --skill grill-megit clone --depth 1 https://github.com/feiskyer/codex-settingsWrote 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/feiskyer/codex-settings/grill-me)<a href="https://agentmods.dev/skills/feiskyer/codex-settings/grill-me"><img src="https://agentmods.dev/badge/skills/feiskyer/codex-settings/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/feiskyer/codex-settings/grill-me"><img src="https://agentmods.dev/badge/skills/feiskyer/codex-settings/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 | $0.00068 | $0.00704 |
| Opus 5.5 | $0.00027 | $0.00282 |
| Sonnet 5.5 | $0.00014 | $0.00141 |
| Haiku 4.5 | $0.00007 | $0.00070 |
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 28d 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.
This is a copy
86% identical to grill-me — 196 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
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：
- 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
What ships with it
3 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.
- 28d ago Changed · -154 lines · -3 tokens per session 682baf16c46f
- 1mo ago First seen · 198 lines · 71 tokens per session scan A 526af77ba55b
grill-me is a skill published in the GitHub repository feiskyer/codex-settings (247 stars, last pushed 24d ago), licensed MIT. It adds 68 tokens to every session and 704 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to grill-me, differing in 196 lines, and is treated as a copy.
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