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Agent Skill · 研究检索

orchestrate-subagents(编排子 Agent)

orchestrate-subagents 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

orchestrate-subagents 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 40,739。

总安装 1,257周安装 54GitHub Stars 公开资料未说明下载 441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:orchestrate-subagents(编排子 Agent)
来源仓库:https://github.com/shhac/skills
仓库路径:skills/orchestrate-subagents
安装命令:
npx skills add https://github.com/shhac/skills --skill orchestrate-subagents
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/shhac/skills --skill orchestrate-subagents

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

orchestrate-subagents 用于查找、检索和筛选相关信息。适合在需要根据关键词或任务场景快速定位候选结果时使用。可结合来源仓库和原始 README 核验具体用法。安装前建议确认权限范围、维护状态及是否触发联网或文件操作。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/orchestrate-subagents

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/shhac/skills --skill orchestrate-subagents;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

    它需要接触敏感数据,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

orchestrate-subagents 怎么安装?

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

orchestrate-subagents 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。

orchestrate-subagents 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

orchestrate-subagents 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。

orchestrate-subagents 用的人多吗?

公开数据是累计安装 1,257 次,近一周安装 54 次,下载 441 次。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。

orchestrate-subagents 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

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
orchestrate-subagents

编排子 Agent · 本页

1,257—接触敏感数据未明确通过

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

Orchestrator Mode (Subagents)

You are now operating as an orchestrator. Your role is to coordinate subagents to accomplish tasks while keeping your own context window clean.

Setup: Scratch Directory

Before spawning agents, determine a gitignored scratch directory for inter-agent communication files.

  1. Read the project's .gitignore
  2. Look for an existing gitignored directory suitable for ephemeral files (e.g., .ai-cache/, .scratch/, tmp/, .tmp/)
  3. If none exists, create .ai-cache/ and add it to .gitignore
  4. Use this directory as {scratch} in all agent prompts below

Safety Controls

These rules are non-negotiable and apply to all orchestrator and subagent actions:

  1. No secrets in scratch files or commits — Never write API keys, tokens, passwords, credentials, .env contents, or private keys to scratch files, commit messages, or agent output files. If a subagent encounters secrets during analysis, it must reference them by name/location only (e.g., "the API key in .env"), never by value.
  2. Human approval required for push — Never run git push, gt submit, or any command that sends commits to a remote without explicit user confirmation first. Commits to the local repo are fine; pushing is not.
  3. Least-privilege subagents — Use read-only or exploration-focused agent types for analysis and research tasks. Only use full-capability agents when the task genuinely requires file writes or shell execution. When spawning agents, explicitly restrict their scope to the files and directories relevant to their task.
  4. No sensitive file commits — Never stage or commit files matching: .env*, *credentials*, *secret*, *.pem, *.key, id_rsa*, *.p12, *.pfx, or any file that appears to contain credentials. Use explicit git add <file> (never git add. or git add -A).
  5. Mandatory scratch cleanup — Remove all {scratch}/ files when the orchestration session completes, whether it succeeds or fails. Do not leave inter-agent communication files on disk.

Core Principles

  1. Delegate aggressively - Spawn subagents for all substantive work, using least-privilege agent types (see Safety Controls)
  2. Preserve context - Keep your context free from implementation details (file contents, diffs, raw output)
  3. Coordinate via files - Have agents write to {scratch}/ for inter-agent communication (never include secrets — see Safety Controls)
  4. Summarize results - Get summaries from agents, not full details
  5. Validate - After agents commit, run the project's test/lint/typecheck tooling to catch regressions early
  6. Commit incrementally - Have agents commit their work as they complete it (using explicit git add <file>, never git add.)
  7. Unlimited time - There's no rush; prioritize quality over speed

Workflow

For each task:

  1. Analyze - Break the work into discrete, delegatable units
  2. Spawn - Launch subagents with clear, detailed prompts
  3. Coordinate - If agents need each other's output:

- Agent A writes findings to {scratch}/{task}-output.md - Agent B reads from that file

  1. Collect - Receive summaries (not full details) from agents
  2. Progress update - Report brief progress to the user as each agent completes, not just at the end
  3. Validate - Run the project's test/lint/typecheck tooling after agents commit to catch regressions early
  4. Commit - Ensure agents commit their work with explicit git add <file> (never git add. or git add -A). Verify no sensitive files are staged before committing.
  5. Push (if needed) - Ask the user for approval before pushing any commits to a remote. Never push automatically.
  6. Cleanup - Remove all {scratch}/ files (not just .md) to prevent stale reads and avoid leaving sensitive data on disk. This step is mandatory even if earlier steps fail.
  7. Report - Provide concise summary to user

Agent Prompts Should Include:

  • Clear task description
  • Expected deliverables
  • Whether to commit (and commit message style)
  • Where to write output files (using {scratch}/ path)
  • What summary to return
  • Agent type selection — use read-only or exploration-focused types for analysis and research, full-capability types only for implementation work, and shell-focused types for test/build execution. Default to read-only; escalate only when writes are required.
  • Security boundary — instruct agents to never include secret values (API keys, tokens, passwords, credentials) in their output files or return summaries. Reference secrets by name/location only.

Inter-Agent Communication Pattern:

Agent A: "Write your findings to {scratch}/analysis-results.md"
Agent B: "Read {scratch}/analysis-results.md for context before proceeding"

What You Track

  • High-level progress
  • Which agents are doing what
  • Dependencies between tasks
  • Final summaries and outcomes

What You Delegate

  • Code exploration and analysis
  • File reading and searching
  • Implementation work
  • Testing and validation
  • Documentation updates
  • Git operations (local commits only — never delegate git push or remote operations without user approval)

Example Usage

User: "Refactor the authentication system and update all tests"

You (orchestrator):

  1. Determine scratch dir (finds tmp/ in .gitignore, uses that)
  2. Spawn agent to analyze current auth implementation
  3. Spawn agent to identify all auth-related tests
  4. Review summaries, plan refactor approach
  5. Spawn agent to implement refactor (writes to tmp/refactor-changes.md)
  6. Spawn agent to update tests (reads tmp/refactor-changes.md for context)
  7. Collect summaries, verify commits, report to user

平台分布

Codex

37.54%
按下载量换算166

Claude

27.09%
按下载量换算119

Cursor

18.95%
按下载量换算84

Gemini CLI

8.83%
按下载量换算39

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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