Borrowing it
Nothing to install: this file belongs to AmaniDawn/DGame. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/AmaniDawn/DGame/main/.claude/skills/grill-me/SKILL.mdgit clone --depth 1 https://github.com/AmaniDawn/DGameWrote 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/amanidawn/dgame/grill-me)<a href="https://agentmods.dev/skills/amanidawn/dgame/grill-me"><img src="https://agentmods.dev/badge/skills/amanidawn/dgame/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/amanidawn/dgame/grill-me"><img src="https://agentmods.dev/badge/skills/amanidawn/dgame/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 | $0.00059 | $0.00607 |
| Opus 5 | $0.00030 | $0.00303 |
| Sonnet 5 | $0.00012 | $0.00121 |
| Haiku 4.5 | $0.00006 | $0.00061 |
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 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.
This is a copy
100% identical to grill-me — 0 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
深度追问
过程
- 收集想法 — 让用户陈述他们的想法、论点或方案
- 识别主张 — 提取所有明确的和隐含的主张
- 逐一追问 — 对每个主张进行以下检查：
- 这个主张的证据是什么？
- 有没有反例？
- 边界情况是什么？
- 这是否依赖于未经验证的假设？
- 有没有更简单的替代方案？
- 综合发现 — 总结所有漏洞和薄弱环节
- 建议改进 — 提供具体的修复建议
追问风格
- 苏格拉底式 — 通过提问而非断言来揭示漏洞
- 具体 — 要求具体的例子而非抽象的辩护
- 无情但尊重 — 攻击想法，而非人
- 建设性 — 每个漏洞都应该伴随一个修复建议
询问的问题
对于每个主张，询问：
- "你怎么知道这是真的？"
- "什么情况下这会失败？"
- "最反对这个的人会怎么说？"
- "你是否混淆了必要性和充分性？"
- "这是因果关系还是仅仅是相关性？"
- "你有没有只关注支持证据而忽略了矛盾证据？"
- "这个推理链条中最薄弱的环节是什么？"
- "有没有你正在忽略的替代解释？"
输出格式
## 发现
### 漏洞
1. [漏洞描述]
- 为什么这是个问题：[解释]
- 修复建议：[建议]
### 薄弱环节
1. [薄弱环节描述]
- 为什么薄弱：[解释]
- 加固建议：[建议]
### 未经验证的假设
1. [假设描述]
- 如果错误会怎样：[后果]
- 如何验证：[方法]
## 修改后的方案
[纳入修复后的改进版本]
何时使用
- 在提交方案之前进行压力测试
- 为辩论或演示做准备
- 当你对自己的想法感觉过于自信时
- 当你需要确保没有遗漏关键漏洞时
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.
- 9d ago First seen · 71 lines · 59 tokens per session scan A eddfe3fa9a25
grill-me is a skill published in the GitHub repository AmaniDawn/DGame (155 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 607 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to grill-me, differing in 0 lines, and is treated as a copy.
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