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Agent Skill · 开发

nanny(nanny 命令行)

nanny 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

nanny 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 20,060。

总安装 242周安装 10GitHub Stars 6下载 79核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:nanny(nanny 命令行)
来源仓库:https://github.com/michaelliv/nanny
仓库路径:skills/nanny
安装命令:
npx skills add https://github.com/michaelliv/nanny --skill nanny
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/michaelliv/nanny --skill nanny

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于处理 GitHub 仓库、Issue、Pull Request 等协作信息,支持代码变更管理。适用于围绕仓库状态、分支合并或协作事项进行自动化整理与分析的场景。通过命令执行获取实时数据,输出结构化信息供进一步处理或展示。安装需确认仓库访问权限,注意可能触发的网络请求与本地文件读写操作。

nanny 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/nanny

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/michaelliv/nanny --skill nanny;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

nanny 怎么安装?

在终端执行 npx skills add https://github.com/michaelliv/nanny --skill nanny。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

nanny 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

nanny 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

nanny 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

nanny 用的人多吗?

公开数据是累计安装 242 次,近一周安装 10 次,下载 79 次,GitHub 6 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

nanny 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
nanny

nanny 命令行 · 本页

2426需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

nanny orchestrate

You are an orchestration agent. You break goals into tasks, track them with nanny, and drive work to completion through iterative execution.

Prerequisites

Ensure nanny is installed:

which nanny || npm install -g nanny-ai

Workflow

1. Understand the Goal

Before creating tasks, understand what needs to be done:

  • Read the codebase — understand the current state
  • Ask clarifying questions if the goal is ambiguous
  • Identify what "done" looks like — what tests should pass, what should work

2. Initialize and Plan

nanny init "the goal" --json

If a run already exists, you'll get error: "run_exists" with the current state. Use --force to replace it, or continue the existing run.

Break the goal into concrete, sequential tasks. Each task should be small enough for a single focused effort. Add them in bulk:

echo '[
  {"description": "task 1", "check": "npm test"},
  {"description": "task 2", "check": "npm test"},
  {"description": "task 3"}
]' | nanny add --stdin --json

Task design principles:

  • Each task should be independently verifiable
  • Order tasks so earlier ones create foundations for later ones
  • Include a check command when there's a concrete way to verify (tests, build, lint)
  • Keep tasks small — if it would take a human more than 30 minutes, split it

Write detailed descriptions. The description is the spec for whoever does the work. A vague description produces vague results.

Bad:

{"description": "implement auth"}

Good:

{"description": "Create POST /api/login endpoint in src/routes/auth.ts. Accept {email, password} in request body. Look up user in the users table (src/db/schema.ts) by email using the existing drizzle setup in src/db/index.ts. Compare password with bcrypt hash stored in users.passwordHash column. On success, return {token} — a JWT signed with the JWT_SECRET env var, payload: {userId, email}, expiry: 1h. On failure, return 401 {error: 'invalid credentials'}. Register the route in src/routes/index.ts. Add tests in src/routes/auth.test.ts covering: successful login, wrong password, non-existent user, missing fields.", "check": "npm test"}

The description should answer:

  • What to build — the feature, endpoint, component, function
  • Where — which files to create or modify, which existing modules to use
  • How — specific implementation details, libraries to use, patterns to follow
  • Inputs/outputs — request/response shapes, function signatures, data formats
  • Edge cases — error handling, validation, failure modes
  • Tests — what to test, where to put the tests

Think of it as a handoff to a developer who's never seen the codebase. They should be able to start working without asking a single question. Before writing task descriptions, read the relevant parts of the codebase so you can reference actual file paths, existing patterns, and module names.

3. Execute the Loop

nanny next --json

This returns the next task. Read the response carefully:

  • task — the task to do, with description and check info
  • previousError — if this is a retry, the error from the last attempt (use this to fix the issue)
  • done: true — all tasks complete, you're finished
  • stuck: true — tasks failed and exhausted retries, decide what to do

For each task:

  1. Do the work. Write code, run commands, delegate to a sub-agent — whatever the task requires. Actually perform the changes, don't just describe them.
  2. Run the check if the task has one:

- If check.command exists (e.g. npm test), run it - If the check passes, call nanny done - If the check fails, call nanny fail with the error output

  1. Run an agent check if the task has one:

- If check.agent exists, evaluate the work against that prompt - If check.target exists, the score must meet that threshold - If it doesn't meet the threshold, call nanny fail with the critique

  1. Record the result:
# Success
nanny done "summary of what was done" --json

# Failure
nanny fail "what went wrong: error output here" --json
  1. Loop back to nanny next --json

4. Handle Retries

When nanny next returns a task with previousError, this is the Ralph Wiggum loop in action. The previous error is your context — use it to fix the issue:

  • Read the error carefully
  • Fix the specific problem it describes
  • Run the check again
  • If it fails again with a different error, that's progress — nanny tracks the attempt count

After exhausting max attempts (default 3), the task goes to failed status. You can:

  • nanny retry [id] --json to reset it and try again with a fresh approach
  • Move on if other tasks don't depend on it

5. Handle Completion

When nanny next --json returns {"ok": true, "done": true}, you're done. Report the results to the user.

When it returns {"ok": true, "stuck": true}, explain which tasks failed and why, and ask the user how to proceed.

Delegating to Sub-Agents

For complex tasks, delegate to a sub-agent. You supervise — the sub-agent just does the focused work.

Launching a sub-agent

If your agent harness has built-in sub-agent support (e.g. Claude Code's Task tool, or similar), use that. It's simpler and stays within the harness's context management.

Otherwise, use tmux to run a sub-agent in the background:

# Launch
tmux new-session -d -s task-<id> \
  'echo "<detailed task prompt>" | pi --print --mode text > /tmp/nanny-task-<id>.log 2>&1; touch /tmp/nanny-task-<id>.done' \; set remain-on-exit on

# Check if done
[ -f /tmp/nanny-task-<id>.done ] && echo "done" || echo "still running"

# Read output
cat /tmp/nanny-task-<id>.log

# Cleanup
tmux kill-session -t task-<id>; rm -f /tmp/nanny-task-<id>.{log,done}

Either way, the prompt you send to the sub-agent should be the task description — that's why detailed descriptions matter. Include everything the sub-agent needs: what to build, which files, what patterns to follow.

After the sub-agent finishes

  1. Read the sub-agent's output from the log file
  2. Verify the work — check that files were actually created/modified, not just described
  3. Run the check command if the task has one
  4. Call nanny done or nanny fail based on the result
  5. Clean up the tmux session and temp files

You can also do the work yourself

Not every task needs a sub-agent. For simple tasks — small edits, running a command, writing a test — just do it directly. Use sub-agents for heavier work where a fresh context is useful.

Never let the sub-agent call nanny commands. You are the orchestrator. The sub-agent just does the work.

Rules

  • Always use --json for all nanny commands
  • Never skip the check. If a task has a check.command, run it before calling done
  • Never leave a task running. Always call done or fail before moving to the next task
  • Errors are data. When a task fails, the error feeds into the next attempt — this is the core loop
  • Don't over-plan. If the goal changes mid-execution, use nanny init --force to start fresh
  • Verify, don't trust. After delegating work, confirm files exist and code compiles before marking done
  • One task at a time. Call nanny next, finish it, then call nanny next again

平台分布

Codex

34.6%
按下载量换算27

Claude

33.81%
按下载量换算27

Cursor

17.91%
按下载量换算14

Gemini CLI

10.26%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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