Borrowing it
Nothing to install: this file belongs to ProgrammerAnthony/Expert-Coding-Harness. 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/ProgrammerAnthony/Expert-Coding-Harness/master/.cursor/skills/grill-me/SKILL.mdgit clone --depth 1 https://github.com/ProgrammerAnthony/Expert-Coding-HarnessWrote 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/programmeranthony/expert-coding-harness/grill-me)<a href="https://agentmods.dev/skills/programmeranthony/expert-coding-harness/grill-me"><img src="https://agentmods.dev/badge/skills/programmeranthony/expert-coding-harness/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/programmeranthony/expert-coding-harness/grill-me"><img src="https://agentmods.dev/badge/skills/programmeranthony/expert-coding-harness/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 | $0.00088 | $0.00355 |
| Opus 5.5 | $0.00035 | $0.00142 |
| Sonnet 5.5 | $0.00018 | $0.00071 |
| Haiku 4.5 | $0.00009 | $0.00036 |
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 2mo 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.
What it actually says
对我的计划的每个方面进行不留情面的追问，直到我们达成共同理解。逐一解决决策树的每个分支，按依赖关系顺序推进。对每个问题，提供你推荐的答案。
每次只问一个问题，等待我对当前问题的反馈后再继续。
如果某个问题可以通过探索代码库来回答，直接探索代码库而不是问我。
原则
- 不放过模糊之处：对"还行吧"、"应该可以"、"大概是"等答案追问到底，直到有具体的、可验证的答案。
- 从假设入手：每个重要决策背后都有隐含假设，把它们挖出来。
- 走决策树：先识别所有重大决策点，再逐一推进，不跳跃。
- 提供推荐答案：不要纯粹发问，给出你自己认为最合理的答案，让用户确认或反驳。
- 在共识处停下：当某个分支已有清晰的、双方都认可的答案，记录下来，推进到下一个分支。
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.
- 2mo ago First seen · 19 lines · 88 tokens per session scan A 5929060d7e32
grill-me is a skill published in the GitHub repository ProgrammerAnthony/Expert-Coding-Harness (246 stars, last pushed 5mo ago), licensed MIT. It adds 88 tokens to every session and 355 once invoked, about $0.0004 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 2026-08-30.
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