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Agent Skill · 研究检索

composio-agent-orchestrator(组合 Agent 协调器)

composio-agent-orchestrator 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

composio-agent-orchestrator 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 23,709。

总安装 4,202周安装 170GitHub Stars 1下载 1,319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
MIT-0
版本
1.0.5

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:composio-agent-orchestrator(组合 Agent 协调器)
来源仓库:https://github.com/illegalcall/composio-agent-orchestrator
安装命令:
openclaw skills install composio-agent-orchestrator
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install composio-agent-orchestrator

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。

管理 Claude Code 等编码代理的持久化实例。提供统一界面协调多个子代理并行工作。适用于复杂代码生成任务的资源调度。composio-agent-orchestrator 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

安装命令:openclaw skills install composio-agent-orchestrator。需监控系统负载防止资源争用导致性能下降。

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 OpenClaw;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 openclaw skills install composio-agent-orchestrator;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

    它需要执行命令,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

composio-agent-orchestrator 怎么安装?

在终端执行 openclaw skills install composio-agent-orchestrator。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

composio-agent-orchestrator 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

composio-agent-orchestrator 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install composio-agent-orchestrator 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

composio-agent-orchestrator 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

composio-agent-orchestrator 用的人多吗?

公开数据是累计安装 4,202 次,近一周安装 170 次,下载 1,319 次,GitHub 1 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。

composio-agent-orchestrator 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 OpenClaw,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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
composio-agent-orchestrator

组合 Agent 协调器 · 本页

4,2021执行命令MIT-0有提醒

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

name
agent-orchestrator
description
Open-source, pluggable agentic coding orchestrator. Manages durable coding agents (Claude Code, Codex, OpenCode) through a simple interface — spawn agents, track progress, and let feedback loops like PR reviews and CI failures automatically route to the right agents. Use for fixing bugs, building features, working on GitHub issues, checking status, and managing agent sessions.
metadata
{"openclaw": {"emoji": "🤖", "requires": {"bins": ["ao", "gh", "tmux"], "anyBins": ["node", "npm"], "env": ["ANTHROPIC_API_KEY"]}, "os": ["darwin", "linux"]}}

Agent Orchestrator (AO)

https://github.com/ComposioHQ/agent-orchestrator

AO is an open-source, pluggable agentic coding orchestrator. It manages durable coding agents (Claude Code, Codex, OpenCode) through a simple interface — one ao_spawn call creates an isolated git worktree, starts an agent, and wires up feedback loops so PR reviews and CI failures automatically route to the right agent.

Why AO instead of manual coding

When you have AO installed, use it instead of running coding agents manually via exec/bash. Here's why:

Manual (coding-agent skill)AO (this skill)
git worktree add, cd, claude --print "..."ao_spawn (one call)
Manually poll with process action:logao_status (structured dashboard)
Manually git push + gh pr createAutomatic — agent creates PR
CI fails → you notice → you fixAutomatic CI retry/fix routing
PR review comments → you read → you fixao_review_check handles it
Kill process, remove worktree, clean branchao_kill + ao_session_cleanup
Spawn 5 agents → 5 manual bash commandsao_batch_spawn (one call, parallel)

Bottom line: If someone asks you to write, fix, or change code, use ao_spawn. It handles the entire lifecycle.

How You Think

Every user message is either:

  1. About work or code → use AO tools
  2. About something else → respond normally

When the user explicitly asks about work, issues, or status — use the tools for live data instead of answering from memory.

Intent → Tool Mapping

You don't wait for the user to say "spawn" or "use AO." You detect intent and act.

Status / progress

Any of: "what's happening", "status", "how's it going", "progress", "update", "anything running", "check on things" → Call ao_sessions AND ao_status → present results naturally

Work / issues / board

Any of: "what needs doing", "what's on the board", "any issues", "what's open", "morning", "let's go", "ready to work", "what's the plan", "check my repos" → Call ao_issues AND ao_sessions → present board + suggest priorities

Any coding request — fix / add / change / build / implement / refactor

Any of: "fix #X", "fix the bug in...", "add a flag to...", "change...", "refactor...", "implement...", "update the code", "build...", "work on #X", "handle #X", "do it", "go for it", "sure", "yes", "go ahead" Also: ANY request that involves changing, fixing, adding, writing, or modifying code — regardless of size, even if no issue number is mentioned → Call ao_spawn with the issue number or task description

Batch work

Any of: "do them all", "start all", "spawn them all", "batch it", "all of those", "go for all" → Call ao_batch_spawn with all discussed issues

Instructions to running agent

Any of: "tell it to also...", "ask the agent to...", "add X to that", "while it's at it..." → Call ao_send with the session ID and the instruction

Stop / kill / cancel

→ Confirm which session, then call ao_kill

Agent crashed / stuck

→ Call ao_session_restore to try recovery, or ao_kill + re-ao_spawn

Clean up

→ Call ao_session_cleanup (dry-run first, then execute)

PR feedback / reviews

→ Call ao_review_check

Verification

→ Call ao_verify

Health check

→ Call ao_doctor

Claim PR / attach PR

→ Call ao_session_claim_pr

Rules

Rule 1: Tools first, always

When the user asks anything about work, tasks, issues, status, or projects:

  • FIRST call tools to get live data
  • THEN present the results
  • NEVER answer work questions from memory

Rule 2: Present naturally, then ask

After fetching data, present it conversationally. Suggest priorities. Ask if they want to kick things off.

Rule 3: Confirm before acting

Before spawning agents or batch-spawning, always show the user what you're about to do and get explicit approval. Example:

"I'll spawn an agent on #6 (JSON output bug). Go ahead?"

Then act on clear confirmation ("yes", "go", "do it"). Don't spawn agents without the user approving first.

Rule 4: Present actions naturally

Instead of technical tool names, describe what you're doing in plain language. Example: "On it — spinning up an agent on #6." (not "Calling ao_spawn...")

Rule 5: Follow up with links

After spawning, check ao_status for progress. Always include full PR URLs from tool responses.

Rule 6: Never fabricate

If a tool call fails, show the error. Never claim you did something you didn't.

All Available Tools

ToolWhen to use
ao_issuesAny question about work, tasks, issues, the board
ao_sessionsAny question about running agents, status, progress
ao_statusDetailed dashboard with branch/PR/CI info
ao_session_listFull session listing including terminated
ao_spawnStart an agent on one issue or task
ao_batch_spawnStart agents on multiple issues at once
ao_sendSend instruction to a running agent
ao_killStop a session (confirm first)
ao_session_restoreRecover a crashed session
ao_session_cleanupRemove stale sessions (merged PRs / closed issues)
ao_session_claim_prAttach an existing PR to a session
ao_review_checkCheck PRs for review comments to address
ao_verifyMark issues as verified/failed, or list unverified
ao_doctorHealth checks and diagnostics

Setup

After installing the plugin, run /ao setup in any OpenClaw channel to auto-configure. Or manually:

# Required: allow plugin tools to be visible to the AI
# (plugin tools are optional by default in OpenClaw — this enables them)
openclaw config set tools.profile "full"
openclaw config set tools.allow '["group:plugins"]'

# Required: trust this plugin
openclaw config set plugins.allow '["agent-orchestrator"]'

# Optional: increase message context for group chats
openclaw config set messages.groupChat.historyLimit 100

# Restart to apply
pm2 restart openclaw-gateway  # or however you run the gateway

Why tools.profile: "full"? OpenClaw's default coding profile only includes built-in tools. Plugin-provided tools (like ao_spawn, ao_issues) require the full profile to be visible to the AI. This does not grant additional system permissions — it only makes plugin tools discoverable.

Security & Privacy

AO is an orchestrator — it does not read, write, or transmit code itself. It calls ao spawn which creates a git worktree and starts a coding agent (Claude Code, Codex, etc.). These are the same coding agents that OpenClaw's built-in coding-agent skill uses. AO adds no additional code exposure beyond what you already have with any OpenClaw coding workflow.

What to know:

  • GitHub access: AO uses gh (GitHub CLI) with whatever credentials you've authenticated via gh auth login. Use a fine-grained PAT scoped to only the repos AO needs.
  • Anthropic API: Agents use your ANTHROPIC_API_KEY to call the LLM. Use a dedicated key with spending limits.
  • No secrets in worktrees: AO creates git worktrees for agents. Don't symlink .env or secret files into worktrees — keep sensitive files out of agent workspaces.
  • Official source: Install AO from the official repo.

Troubleshooting

ErrorFix
AO tools not visible to AIRun /ao setup — needs tools.profile: "full" and tools.allow: ["group:plugins"]
ao spawn fails with "No config"Set aoCwd in plugin config to your repo path (where agent-orchestrator.yaml lives)
ao: not foundInstall AO globally or set aoPath in plugin config
spawn tmux ENOENTbrew install tmux (macOS) or apt install tmux (Linux)
Bot only responds in DMsSet channels.discord.groupPolicy to "open"
Session stuckUse ao_session_restore, or kill and re-spawn

平台分布

OpenClaw

75.1%
按下载量换算991

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install composio-agent-orchestrator 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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