superpowers-zh is a Chinese community edition of superpowers, a collection of practical skills and development methods for AI coding tools. It helps users apply workflows such as brainstorming, test-driven development, debugging, code review, and other programming tasks across supported coding agents. The catalogue add-ons are the project's translated and original skills, instructions, hook, 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 jnMetaCode/superpowers-zh --skill requesting-code-reviewgit clone --depth 1 https://github.com/jnMetaCode/superpowers-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/jnmetacode/superpowers-zh/requesting-code-review)<a href="https://agentmods.dev/skills/jnmetacode/superpowers-zh/requesting-code-review"><img src="https://agentmods.dev/badge/skills/jnmetacode/superpowers-zh/requesting-code-review/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/jnmetacode/superpowers-zh/requesting-code-review"><img src="https://agentmods.dev/badge/skills/jnmetacode/superpowers-zh/requesting-code-review.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 | $0.00024 | $0.00852 |
| Opus 5.5 | $0.00010 | $0.00341 |
| Sonnet 5.5 | $0.00005 | $0.00170 |
| Haiku 4.5 | $0.00002 | $0.00085 |
Grade A, and why
requesting-code-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
请求代码审查
派遣代码审查子代理,在问题扩散之前发现它们。审查者获得的是精心组织的评估上下文——绝不是你的会话历史。
核心原则: 早审查,勤审查。
何时请求审查
必须审查:
- 子代理驱动开发中每个任务完成后
- 完成重要功能后
- 合并到 main 之前
可选但有价值:
- 卡住时(换个视角)
- 重构之前(建立基线)
- 修复复杂 bug 之后
如何请求
1. 获取 git SHA:
BASE_SHA=$(git rev-parse HEAD~1) # 或:git merge-base origin/main HEAD
HEAD_SHA=$(git rev-parse HEAD)
2. 派遣代码审查子代理:
使用 Task 工具,指定 general-purpose 类型,填写 code-reviewer.md 中的模板
占位符说明:
{DESCRIPTION}- 你刚完成的内容简要说明{PLAN_OR_REQUIREMENTS}- 预期功能{BASE_SHA}- 起始提交{HEAD_SHA}- 结束提交
3. 处理反馈:
- Critical 问题立即修复
- Important 问题在继续之前修复
- Minor 问题记录下来稍后处理
- 如果审查者有误,用技术理由反驳
示例
[刚完成任务 2:添加验证功能]
你:让我在继续之前请求代码审查。
BASE_SHA=$(git log --oneline | grep "Task 1" | head -1 | cut -d' ' -f1)
HEAD_SHA=$(git rev-parse HEAD)
[派遣代码审查子代理]
DESCRIPTION: 添加了 verifyIndex() 和 repairIndex(),支持 4 种问题类型
PLAN_OR_REQUIREMENTS: docs/superpowers/plans/deployment-plan.md 中的任务 2
BASE_SHA: a7981ec
HEAD_SHA: 3df7661
[子代理返回]:
优点:架构清晰,测试真实
问题:
Important:缺少进度指示器
Minor:报告间隔使用了魔法数字 (100)
评估:可以继续
你:[修复进度指示器]
[继续任务 3]
常见的合理化借口
| 借口 | 现实 |
|---|---|
| "我自己看一下 diff 就行了,不用专门派审查者" | 你是协调者——在自己的会话里读 diff 会烧掉你继续推进工作所需的上下文窗口。派一个审查子智能体:diff 和评估过程都待在它的上下文里,只有结论回到你这里。 |
| "审查者需要我的全部会话历史才能理解这次改动" | 给它精心组织的上下文,绝不给会话历史。这样审查者才会盯着工作成果,而不是你的思考过程。 |
红线
绝不要:
- 因为"很简单"就跳过审查
- 忽略 Critical 问题
- 带着未修复的 Important 问题继续推进
- 对合理的技术反馈进行争辩
如果审查者有误:
- 用技术理由反驳
- 展示证明其可行的代码/测试
- 要求澄清
参见模板:requesting-code-review/code-reviewer.md
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.
- 2d ago Changed f7da004b4729
- 21d ago Changed 69574973ccce
- 1mo ago First seen · 101 lines · 24 tokens per session scan A 4629ab5686d3
requesting-code-review is a skill published in the GitHub repository jnMetaCode/superpowers-zh (8,348 stars, last pushed today), licensed MIT. It adds 24 tokens to every session and 852 once invoked, about $0.0001 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.
Other skills, from other repositories
legacy-safe-edit
A set of practices for changing existing or old codebases safely. It focuses on finding dependencies, following local coding conventions, and making small changes that can be checked and reverted.
security-review
A code-security review guide covering common risks such as injection, weak login protection, unauthorized access, and sensitive-data exposure. It is written in Chinese and includes rules and examples for safer code.
code-review-self
A self-review checklist for checking code before committing it or opening a pull request, which is a request for teammates to review proposed changes.
doubt-driven-development
Subjects every non-trivial decision to a fresh-context adversarial review before it stands. Use when you want every assumption cross-examined before proceeding, when stress-testing a plan for hidden failure modes, when correctness matters more than speed, when working in unfamiliar code, when stakes are high…
gentle-ai-collab-perfect
Trigger: contributing to Gentleman-Programming/gentle-ai as an external collaborator. Strict issue-first workflow, honest PR bodies, contributor-vs-maintainer scope, chained-PR strategy, verification protocol, docstring coverage. Load whenever the active repo is Gentleman-Programming/gentle-ai and any part of the…
issue-creation
Trigger: issue creation, bug reports, feature requests, or issue approval. Create and triage GitHub issues from repository evidence.