mattpocock-skills-zh-CN is a Simplified Chinese localization of a collection of reusable instructions for coding agents. Chinese-speaking developers use the translated skills to support engineering workflows while keeping their original commands, paths, identifiers, and behavior. The catalogue contains the localized skills, instructions, and plugin components.
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 vinvcn/mattpocock-skills-zh-CN --skill tddgit clone --depth 1 https://github.com/vinvcn/mattpocock-skills-zh-CNWrote 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/vinvcn/mattpocock-skills-zh-cn/tdd)<a href="https://agentmods.dev/skills/vinvcn/mattpocock-skills-zh-cn/tdd"><img src="https://agentmods.dev/badge/skills/vinvcn/mattpocock-skills-zh-cn/tdd/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/vinvcn/mattpocock-skills-zh-cn/tdd"><img src="https://agentmods.dev/badge/skills/vinvcn/mattpocock-skills-zh-cn/tdd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00042 | $0.00792 |
| Opus 5.5 | $0.00017 | $0.00317 |
| Sonnet 5.5 | $0.00008 | $0.00158 |
| Haiku 4.5 | $0.00004 | $0.00079 |
Grade A, and why
tdd 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 18d 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.
How it starts
The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
测试驱动开发
TDD 是 red -> green loop。这个 skill 是让该 loop 产出值得保留的 tests 的 reference:什么是好 test、tests 应该放在哪里、anti-patterns,以及 loop 的规则。每个 cycle 前和 cycle 中都要参考这些内容,而不是事后才看。
探索 codebase 时,读取 GLOSSARY.md(如果存在),让 test names 和 interface vocabulary 与项目 domain language 对齐,并尊重你触碰区域的 ADRs。
什么是好 test
Tests 应通过 public interfaces 验证 behavior,而不是 implementation details。代码可以完全改变;tests 不该随之改变。一个好 test 读起来像 specification:"user can checkout with valid cart" 能清楚说明存在什么能力;因为它不关心 internal structure,所以能承受 refactors。
示例见 tests.md,mocking 规则见 mocking.md。
Seams:tests 放在哪里
Seam 是你测试的 public boundary:可以观察 behavior、但不伸手进入内部的 interface。Tests 放在 seams 上,绝不针对 internals。
只测试预先认可的 seams。 写任何 test 前,先写下要测试的 seams 并与用户确认。未经确认的 seam 不写 test。你无法测试所有东西;提前认可 seams,才能把测试精力放在 critical paths 和复杂 logic 上,而不是每个 edge case。
询问:"What's the public interface, and which seams should we test?"
当 interface 的形状本身就是问题所在时(module 该多深、seam 该放在哪里、interface 应该暴露什么),调用 Skill 工具并指定 codebase-design 获取词汇。它是 module、interface、depth、seam、adapter、leverage 和 locality 这些术语的共享来源,是供查阅的 reference,而不是要运行的 session。
反模式
- Implementation-coupled:mock internal collaborators、测试 private methods,或通过 side channel 验证(例如不用 interface 而直接查询 database)。特征是 refactor 时 test 失败,但 behavior 没变。
- Tautological:assertion 以和代码相同的方式重新计算 expected value(
expect(add(a, b)).toBe(a + b)、手工按同一逻辑生成 snapshot、把 constant 断言等于它自己),因此天然 pass,永远无法与代码 disagree。Expected values 必须来自独立 source of truth:known-good literal、worked example 或 spec。 - Horizontal slicing:先写所有 tests,再写所有 implementation。批量 tests 验证的是 想象中的 behavior:你测试的是东西的 shape,不是 user-facing behavior;tests 会对真实变化迟钝,并在理解 implementation 前承诺 test structure。改用 vertical slices:一个 test -> 一个 implementation -> repeat,每个 test 都是回应上一轮学习的 tracer bullet。
Loop 的规则
- Red before green. 先写 failing test,再只写足够让它通过的代码。不要预判未来 tests,也不要添加 speculative features。
- One slice at a time. 每个 cycle 只处理一个 seam、一个 test、一个 minimal implementation。
- Refactoring is not part of the loop. Refactoring 属于 review stage(见
code-reviewskill),不属于 red -> green implementation cycle。
What ships with it
3 files 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.
- 18d ago Changed 9004dac03661
- 1mo ago Changed 133ccb0db00f
- 1mo ago First seen · 39 lines · 42 tokens per session scan A a36a6860bb0e
tdd is a skill published in the GitHub repository vinvcn/mattpocock-skills-zh-CN (5,317 stars, last pushed 7d ago), licensed MIT. It adds 42 tokens to every session and 792 once invoked, about $0.0002 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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