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Agent Skill · 研究检索

subagent-orchestrator(子 Agent 协调器)

subagent-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。

subagent-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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 5,173。

总安装 27,414周安装 1,109GitHub Stars 公开资料未说明下载 8,606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
1.0.0

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:subagent-orchestrator(子 Agent 协调器)
来源仓库:https://github.com/hackjsw/subagent-orchestrator
安装命令:
openclaw skills install subagent-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 subagent-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。

该技能实现子代理驱动的连续自动驾驶工作流,支持 UI、代码与验证多线并行。无需等待即可推进多轮任务,显著提升复杂项目的交付速度。适用于端到端产品开发场景,自动分配职责与合并产出物。安装前需确认是否允许后台进程与浏览器自动化,注意安全风险管控。输出为阶段性成果与最终归档包,依赖子代理实际执行,需人工最终审核。

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 subagent-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

subagent-orchestrator 怎么安装?

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

subagent-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。

subagent-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 subagent-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。

subagent-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。

subagent-orchestrator 用的人多吗?

公开数据是累计安装 27,414 次,近一周安装 1,109 次,下载 8,606 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。

subagent-orchestrator 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

  • 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。
  • 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

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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
subagent-orchestrator

子 Agent 协调器 · 本页

27,414—执行命令MIT-0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

name
subagent-orchestrator
description
Orchestrate OpenClaw subagents for continuous autopilot workflows. Use when managing UI/代码/验证/档案/侦察 task lines, continuing multi-round work without waiting for the user to restate each step, cleaning finished sessions while preserving memory records, routing default models by role, or updating AGENT_TASK_BOARD / subagent handoff rules.

subagent-orchestrator

Run continuous task lines through the main controller, not by accident.

Core rules

  1. Treat autopilot as a continuous line

- Do not stop at “one run finished”. - A finished run means handoff, not “whole line done”. - Continue until one of: complete, blocked, paused by user.

  1. The main controller must directly re-dispatch

- Do not wait for the user to remind you to continue. - For every autopilot line, the main controller decides the next slice and spawns it.

  1. Keep the task board current

- Update AGENT_TASK_BOARD.md before or when dispatching the next round. - Record: goal, current round, completed items, remaining items, next slice, follow-up roles.

  1. Keep subagent replies short

- Prefer: goal / completed / files / status / next / risk. - Avoid long background restatements.

  1. Clean finished sessions, keep memory

- Finished subagent sessions do not need to be kept. - Before forgetting them, write the durable record into memory/YYYY-MM-DD.md. - Include at least: task goal, changed files, result status, risk, next step. - Promote stable collaboration rules into MEMORY.md when needed.

  1. Do not keep unnecessary artifacts

- Temporary screenshots, temp files, and intermediate outputs can be deleted when no longer needed. - If the user wants screenshot proof, prefer sending it directly instead of long-term local retention.

Role routing

Do not hard-code project-specific model rules into this skill.

Use the current session defaults unless the user or project rules override them. If a project has role-specific model preferences, keep them in project memory, task board rules, or project docs — not as universal orchestrator behavior.

Dispatch pattern

When an autopilot line is active:

  1. Read the current line from AGENT_TASK_BOARD.md
  2. Pick the next small closed slice
  3. Spawn the correct role
  4. Require short structured return
  5. On completion:

- summarize for the user - update memory - clean finished session if no longer needed - immediately dispatch the next slice if the line is still active

Cross-role coordination

Cross-role dependency pattern

When one role creates a dependency for another role:

  • the producing role must explicitly name the follow-up role in next_role
  • the main controller should dispatch that follow-up role without waiting for the user to restate it
  • do not let dependent task lines drift apart

Examples:

  • research -> UI integration
  • code logic -> validation
  • code structure -> UI presentation

Validation

Validation is a follow-up role, not usually the main line. Trigger it after:

  • a meaningful UI slice
  • a meaningful code slice
  • a user asks for proof/checks

Return protocol

Keep the canonical protocol in references/SUBAGENT_RECORD_PROTOCOL.md and use it together with this skill.

Require subagents to include these header fields before the short report:

  • tag: one of autopilot | done | idle | blocked | handoff | need_user
  • line: the task line name, such as ui-autopilot, code-autopilot, scout-art, archive-worldview
  • node: the current task-line node id, such as code-n4, ui-n5
  • goal_status: use only partial | complete | waiting | blocked (do not invent values like half_done, in_progress, done)
  • next_role: free-form next owner/role label, such as ui, code, verify, research, archive, user, none, or any project-specific role name

Then use the short body (see references/SUBAGENT_RECORD_PROTOCOL.md for the full paired format):

  1. Goal
  2. Completed (max 3-4)
  3. Changed files
  4. Status
  5. Next
  6. Risk

Tag meanings

  • autopilot: this round finished, but the whole line is probably not done; main controller must compare against the task board and either continue or close
  • done: the whole line is complete
  • idle: this role is waiting for another line or condition; do not continue this role yet
  • blocked: the line cannot safely continue automatically
  • handoff: this round finished and the next role is already clear
  • need_user: user decision is required before any safe continuation

Main-controller decision rules

When a subagent returns:

  1. If tag=done

- close the line - write memory - clean finished session

  1. If tag=autopilot

- compare against AGENT_TASK_BOARD.md - resolve the current line and node - ignore vague per-run completion phrasing in the body - if node != end_node, dispatch the next node immediately in the same controller turn - only close the line when current_node == end_node and the line completion condition is actually satisfied

Anti-drop guard

For every autopilot return, the main controller must verify all three:

  • the line exists on the task board
  • the line is not yet complete
  • a next dispatch was either sent, or the line was explicitly converted to idle, blocked, need_user, or done

If none of those happened, the turn is incomplete and should not be considered finished.

Stricter continuation rules

A local slice finishing is not enough to stop a line. Do not treat phrases like “this small closure is done”, “this round passed”, or “this piece is complete” as permission to pause.

The controller may stop only when one of these is true:

  • current_node == end_node and the line completion condition is actually satisfied
  • the return is explicitly blocked
  • the return is explicitly need_user
  • the user explicitly paused/stopped the line

If a subagent returns goal_status: complete for a node, that means:

  • the node itself finished
  • the controller must immediately resolve next_on_done
  • and dispatch the next owner in the same turn unless the line is truly at end_node

Delivery-proof rule

If a task claims a delivery/output was completed on an external surface (for example Discord/Telegram/channel/thread/board), the controller must require proof. A claim like “已上屏 / 已交付 / 已发布 / 已发送” is not sufficient by itself.

Minimum proof for delivery-type tasks:

  • target channel/thread id
  • message id (or equivalent object id)
  • a human-checkable location description

If any proof item is missing, treat the task as not delivered yet. Do not mark the line done or the node complete on verbal assurance alone.

Mandatory node advancement

After receiving a valid autopilot return with line and node, the main controller must do this in order:

  1. resolve the matching task-line in AGENT_TASK_BOARD.md
  2. resolve the current node definition
  3. advance current_node to that node's next_on_done
  4. if the advanced node is not end_node, dispatch the owner of the advanced node immediately in the same turn

Do not stop after summarizing the finished round. The turn is only complete after the node has been advanced and the next node has either been dispatched or explicitly put into idle / blocked / need_user / done.

  1. If tag=handoff

- dispatch next_role directly - update task board

  1. If tag=idle

- do not continue this role yet - mark dependency in task board - resume after the dependency line advances

  1. If tag=blocked

- stop automatic continuation - summarize blocker - ask only for the smallest required decision if needed

  1. If tag=need_user

- ask the user - do not keep other roles guessing

Completion conditions

Only mark a line done when:

  • the user says stop/pause, or
  • the task board objective is fully satisfied and no meaningful next slice remains.

Do not mark done just because one run finished.

平台分布

OpenClaw

85.25%
按下载量换算7,337

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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 subagent-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。目前只有一个公开来源,建议同时核对源仓库。

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