grill-me

A plan-review process that asks one question at a time, uncovers hidden assumptions, and examines each decision branch in dependency order.

In plain words
What is it for?
Use it to test a project plan, explore a codebase for answers, identify major choices, and decide what should happen at each branch.
Why use it?
It removes vague agreements and skipped decisions by requiring specific, verifiable answers and recording where there is shared understanding.

Skill for Claude CodeCodexCursor

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.

agentmods
npx agentmods add skills/programmeranthony/expert-coding-harness/grill-me
Any agent
npx skills add ProgrammerAnthony/Expert-Coding-Harness --skill grill-me
Clone the repo
git clone --depth 1 https://github.com/ProgrammerAnthony/Expert-Coding-Harness

Made for: Claude Code, Codex, Cursor.

Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 355 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00088 $0.00355
Opus 5 $0.00044 $0.00178
Sonnet 5 $0.00018 $0.00071
Haiku 4.5 $0.00009 $0.00036

Measured 3d ago against content hash 5929060d7e32, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 3d 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.

.cursor/skills/grill-me/SKILL.md · 19 lines

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。
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. 3d ago First seen · 19 lines · 88 tokens per session scan A 5929060d7e32

Subscribe to this mod's changes

grill-me is a skill published in the GitHub repository ProgrammerAnthony/Expert-Coding-Harness (235 stars, last pushed 3mo ago), licensed MIT. It adds 88 tokens to every session and 355 once invoked, about $0.0004 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 2026-08-30.

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