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 devcxl/mattpocock-skills-zh --skill loop-megit clone --depth 1 https://github.com/devcxl/mattpocock-skills-zhWrote 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/devcxl/mattpocock-skills-zh/loop-me)<a href="https://agentmods.dev/skills/devcxl/mattpocock-skills-zh/loop-me"><img src="https://agentmods.dev/badge/skills/devcxl/mattpocock-skills-zh/loop-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/devcxl/mattpocock-skills-zh/loop-me"><img src="https://agentmods.dev/badge/skills/devcxl/mattpocock-skills-zh/loop-me.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00022 | $0.00679 |
| Opus 5 | $0.00011 | $0.00340 |
| Sonnet 5 | $0.00004 | $0.00136 |
| Haiku 4.5 | $0.00002 | $0.00068 |
Grade A, and why
loop-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.
What it actually says
运行一个有状态的 /grilling 会话，其唯一输出是工作流规格。沿用 grilling 纪律：无休无止、一轮接一轮的问题、每题配一个推荐答案：对准下面的词汇表和目标。在 grilling 解决事情的过程中，规格会被创建、编辑、删除。
循环透镜
一个循环（loop）是用户生活中反复出现的模式：他们的职业、他们的一周、他们的早晨、一个反复出现的活动。把生活看成循环套循环，能揭示这些活动实际上有多么可预测：而这正是它们值得委托的原因。用这个透镜去发现值得规格化的循环，并提出用户还没注意到的循环。
一个**工作流（workflow）**是一个循环的规格，使之落地。你在一个循环上运行工作流：循环是它的运行实例。工作流存放在 workflows/*.md，是事实的来源。
词汇表
一套共享语言，只在工作流需要时才拿出来：绝不是清单。不要强加任何结构性内容：一个工作流不需要 AI、检查点或时间表，除非 grilling 表明它确实需要。
- Trigger（触发器）：每次运行的触发条件：一个事件（新邮件、新 issue）或一个时间表（每天早上）。事件触发通常更高效。
- Checkpoint（检查点）：一个人工介入点，在此处要求用户验证或决策。有些工作流没有检查点，完全自主；有些根本不用 AI。
- Push right（向右推）：尽量推迟检查点。在涉及人工之前做最大限度的准备工作，让用户只需在最后被询问一次，所有内容都已就绪。
- Brief（简报）：检查点呈现的内容：紧凑的、随时可决策的摘要：产出了什么、为什么，以及指向产物本身的链接：绝不是原始输出。用户读的是简报，而不是草稿。审阅速度至关重要。
完成定义
一份工作流规格在"实施者 agent 不需要再问一个问题就能把它构建出来"时才算完成。在此之前一直问；只要还有问题未解决，就不算完成。
Workspace
workflows/*.md：一份工作流对应一份规格。NOTES.md：关于用户世界的原始笔记：他们使用的工具、他们处理的渠道，以及他们自己的术语。当它为空或单薄时，先就他们的世界访谈他们，再去规格化任何内容。随着术语的出现，把模糊的术语打磨成规范形式，并记在这里。
What ships with it
1 file 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.
- 9d ago First seen · 33 lines · 22 tokens per session scan A 493dfc1e4dd5
loop-me is a skill published in the GitHub repository devcxl/mattpocock-skills-zh (329 stars, last pushed 4d ago), licensed MIT. It adds 22 tokens to every session and 679 once invoked, about $0.0001 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.
Other skills, from other repositories
chinese-commit-conventions
A Chinese-language guide to Conventional Commits, a format for writing consistent Git commit messages, plus related changelog, commit-checking, and commit-helper configuration.
chinese-documentation
A Chinese technical-documentation style guide covering spacing, punctuation, numbers, terminology, and links when Chinese and English appear together.
systematic-debugging
A step-by-step method for finding the underlying cause of technical problems before changing code. It covers reading errors, reproducing failures, checking recent changes, and tracing data across system components.
chinese-code-review
A Chinese-language code-review communication guide with templates and severity levels for review comments.
dispatching-parallel-agents
A workflow for assigning separate coding agents to independent tasks that do not share state or depend on one another. Each agent receives a focused scope, constraints, and an expected result.
executing-plans
A procedure for carrying out a written software implementation plan in a separate session, including reviewing the plan, completing its tasks, and checking the results at defined review points.