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.
Borrowing it
Nothing to install: this file belongs to jnMetaCode/superpowers-zh. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jnMetaCode/superpowers-zh/main/GEMINI.mdgit 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/instructions/jnmetacode/superpowers-zh/gemini-md)<a href="https://agentmods.dev/instructions/jnmetacode/superpowers-zh/gemini-md"><img src="https://agentmods.dev/badge/instructions/jnmetacode/superpowers-zh/gemini-md/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/instructions/jnmetacode/superpowers-zh/gemini-md"><img src="https://agentmods.dev/badge/instructions/jnmetacode/superpowers-zh/gemini-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.01234 | $0.01234 |
| Opus 5.5 | $0.00494 | $0.00494 |
| Sonnet 5.5 | $0.00247 | $0.00247 |
| Haiku 4.5 | $0.00123 | $0.00123 |
Grade A, and why
superpowers-zh GEMINI.md 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 28d 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
@./skills/using-superpowers/SKILL.md @./skills/using-superpowers/references/gemini-tools.md
Superpowers-ZH 中文增强版
本项目已安装 superpowers-zh 技能框架（21 个 skills）。
核心规则
- 收到任务时，先检查是否有匹配的 skill — 哪怕只有 1% 的可能性也要检查
- 设计先于编码 — 收到功能需求时，先用 brainstorming skill 做需求分析
- 测试先于实现 — 写代码前先写测试（TDD）
- 验证先于完成 — 声称完成前必须运行验证命令
可用 Skills
Skills 位于 .gemini/skills/ 目录，每个 skill 有独立的 SKILL.md 文件。
- brainstorming: 在任何创造性工作之前必须使用此技能——创建功能、构建组件、添加功能或修改行为。在实现之前先探索用户意图、需求和设计。
- chinese-code-review: 中文 review 沟通参考——话术模板、分级标注（必须修复/建议修改/仅供参考）、国内团队常见反模式应对。仅在用户显式 /chinese-code-review 时调用，不要根据上下文自动触发。
- chinese-commit-conventions: 中文 commit 与 changelog 配置参考——Conventional Commits 中文适配、commitlint/husky/commitizen 中文模板、conventional-changelog 中文配置。仅在用户显式 /chinese-commit-conventions 时调用，不要根据上下文自动触发。
- chinese-documentation: 中文文档排版参考——中英文空格、全半角标点、术语保留、链接格式、中文文案排版指北约定。仅在用户显式 /chinese-documentation 时调用，不要根据上下文自动触发。
- chinese-git-workflow: 国内 Git 平台配置参考——Gitee、Coding.net、极狐 GitLab、CNB 的 SSH/HTTPS/凭据/CI 接入差异与镜像同步配置。仅在用户显式 /chinese-git-workflow 时调用，不要根据上下文自动触发。
- diagnosing-superpowers: 当一次 superpowers 会话出了问题、你的人类伙伴想知道原因时使用——重复劳动、无视计划、磕磕绊绊、结果质量差、某个技能没触发、"太慢了"、"为什么这么贵"、"它到底在干什么"——或者想给 superpowers 维护者整理一份 bug 报告；适用于当前会话，或按 id / 路径指定的过往会话，任何工具均可
- dispatching-parallel-agents: 当面对 2 个以上可以独立进行、无共享状态或顺序依赖的任务时使用
- executing-plans: 当你要在当前会话里亲自担任实现者执行一份实现计划时使用——你的人类伙伴选择了内联执行，或者没有可用的子智能体工具
- finishing-a-development-branch: 当实现完成、所有测试通过、需要决定如何集成工作时使用——通过提供合并、PR 或清理等结构化选项来引导开发工作的收尾
- mcp-builder: MCP 服务器构建方法论 — 系统化构建生产级 MCP 工具，让 AI 助手连接外部能力
- receiving-code-review: 收到代码审查反馈后、实施建议之前使用，尤其当反馈不明确或技术上有疑问时——需要技术严谨性和验证，而非敷衍附和或盲目执行
- requesting-code-review: 完成任务、实现重要功能或合并前使用，用于验证工作成果是否符合要求
- subagent-driven-development: 当在当前会话中执行包含独立任务的实现计划时使用
- systematic-debugging: 遇到任何 bug、测试失败或异常行为时使用，在提出修复方案之前执行
- test-driven-development: 在实现任何功能或修复 bug 时使用，在编写实现代码之前
- using-git-worktrees: 当需要开始与当前工作区隔离的功能开发或执行实现计划之前使用——创建具有智能目录选择和安全验证的隔离 git 工作树
- using-superpowers: 在开始任何对话时使用——确立如何查找和使用技能，要求在任何响应（包括澄清性问题）之前调用 Skill 工具
- verification-before-completion: 在宣称工作完成、已修复或测试通过之前使用，在提交或创建 PR 之前——必须运行验证命令并确认输出后才能声称成功；始终用证据支撑断言
- workflow-runner: 在 Claude Code / OpenClaw / Cursor 中直接运行 agency-orchestrator YAML 工作流——无需 API key，使用当前会话的 LLM 作为执行引擎。当用户提供 .yaml 工作流文件或要求多角色协作完成任务时触发。
- writing-plans: 当你有规格说明或需求用于多步骤任务时使用，在动手写代码之前
- writing-skills: 当创建新技能、编辑现有技能或在部署前验证技能是否有效时使用
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.
- 28d ago Changed · +1 lines · +129 tokens per session de7007e61549
- 1mo ago First seen · 44 lines · 1,105 tokens per session scan A aa496116b9d7
superpowers-zh GEMINI.md is an instructions file published in the GitHub repository jnMetaCode/superpowers-zh (8,390 stars, last pushed yesterday), licensed MIT. It adds 1,234 tokens to every session, about $0.0049 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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