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 agentmods add commands/xcodethink/open-claude-code-skills/grillgit clone --depth 1 https://github.com/xcodethink/open-claude-code-skillsWrote 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/commands/xcodethink/open-claude-code-skills/grill)<a href="https://agentmods.dev/commands/xcodethink/open-claude-code-skills/grill"><img src="https://agentmods.dev/badge/commands/xcodethink/open-claude-code-skills/grill.svg" alt="Measured on agentmods" 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 | $0.00033 | $0.00437 |
| Opus 5 | $0.00016 | $0.00218 |
| Sonnet 5 | $0.00007 | $0.00087 |
| Haiku 4.5 | $0.00003 | $0.00044 |
Grade A, and why
grill 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.
What it actually says
grill — 逼问式对齐（Grilling）
用户输入 /grill $ARGUMENTS 触发 动手前的强制逼问循环（治"歧义未问就干 / 给 N 点抄 N 点 / 反复返工"）。
立刻读取并完整加载：
~/.claude/skills/19-AI协作框架/逼问式对齐-grilling.md
按其执行：
- 一次只问一个问题，等我答完再问下一个（一次抛多个令人错乱）。
- 沿设计树每条分支往下走，逐一解决决策间的依赖（先问被依赖的）。
- 每个问题给出你的推荐答案（不空手问，对齐 skill 19 主动建议）。
- 事实自己查（现有实现/接口/配置值），决策才问我。
- 命中硬刹车的决策（改 enum/schema/NAV/tier、触发 deploy）→ 显式摆 diff 范围等 yes，不混在普通问题里。
- 我确认"达成共识"前不动手 → 达成后才输出 skill 21 的 Scope Card 锁定，再实施。
逼问中沉淀的术语/领域概念 → 写进 19-AI协作框架/领域语言与CONTEXT词汇表.md；三真决策 → 提议记 ADR。
核心契约：这是 skill 19「四维对齐」的强制执行版——把原则变成一次一问的循环，逼到真正共识才动手。
参数: $ARGUMENTS
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.
- 3d ago First seen · 26 lines · 33 tokens per session scan A 77548fd66055
grill is a command published in the GitHub repository xcodethink/open-claude-code-skills (2 stars, last pushed 28d ago), licensed MIT. It adds 33 tokens to every session and 437 once invoked, about $0.0002 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 2026-08-31.
Other commands, from other repositories
go-review
Go code review for idiomatic patterns.
cost-tracker
Track session costs, understand token spend, and get optimization tips.
test
Run all PandaFilter verification steps in order. Stop and report on first failure. This is the required pre-commit gate.
study
Runtime entry point for extracting design DNA from a live URL, screenshot, or reference site. Part of the Discovery lifecycle phase.
iterate
Iteration delivery — delivery check + archive + commit & tag + bump version.
gaai-audit
Show workspace audit log with filters and optional JSON export.