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Subagent Orchestration
作者
Wahaj Ahmed
· GitHub ↗
· v1.3.0
· MIT-0
137
总下载
0
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当前安装
5
版本数
在 OpenClaw 中安装
/install subagent-orchestration
功能描述
Orchestrate OpenClaw subagents effectively. Covers all three agent types (Worker, Researcher, Council) with correct spawning patterns, sandbox constraints, t...
安全使用建议
This skill appears to do what it says (orchestrate subagents), but exercise caution before installing and using it:
- Do not paste secrets or private conversation history into the task parameter or inline context; prefer sanitized summaries.
- Treat any subagent that can exec and read/write files as high privilege; run orchestration experiments in an isolated account or ephemeral environment first.
- Only grant web/tool access (toolsAllow) to Researcher subagents when absolutely necessary; restrict which models or endpoints they can call.
- Verify the provenance of companion skills and referenced GitHub repos (README points to 'wahajahmed010' while the registry owner differs). Clone and inspect those repos before installing.
- Review and limit config defaults (runTimeoutSeconds, maxConcurrent) to reduce blast radius, and prefer lightContext:true as recommended.
If you want, I can extract the exact lines that instruct pasting full context or summarize what would be exposed by following the guide step-by-step.
功能分析
Type: OpenClaw Skill
Name: subagent-orchestration
Version: 1.3.0
The subagent-orchestration skill provides documentation and templates for managing OpenClaw subagents, focusing on Researcher, Worker, and Council patterns. It includes guidance on using the sessions_spawn tool, managing timeouts, and configuring tool permissions (toolsAllow). The content is strictly educational and operational, aimed at improving agent reliability and avoiding common failure modes like context overflow or gateway timeouts, with no evidence of malicious intent, data exfiltration, or unauthorized execution.
能力评估
Purpose & Capability
Name/description (subagent orchestration) align with the runtime instructions: sessions_spawn patterns, sandbox constraints, timeout rules, and use of web-enabled 'Researcher' agents. Recommended models and companion 'Council of LLMs' use are consistent with a multi-model council pattern. Minor provenance inconsistency: README/SKILL.md recommend installing 'wahajahmed010/...' companion skills while the registry Owner ID for this package is different; verify upstream source.
Instruction Scope
SKILL.md explicitly tells the agent to spawn subagents that can read/write files, execute scripts, and (when allowed) access web tools. It also instructs the agent to 'paste context inline' because council agents don't have the main conversation history. That guidance is coherent for delegation, but it increases risk of sensitive-data exposure: pasting session history or secrets into tasks or files handed to subagents could leak information to less-trusted subagents or any model with web access. The instructions also encourage creating and handing .py scripts to subagents and running shell commands — valid for orchestration but a high-privilege action if subagents are untrusted.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk by the skill itself. This lowers installation risk. The README suggests installing companion skills from external sources (GitHub/ClawHub) — the user should verify those external repositories before installing.
Credentials
The skill requests no environment variables, no binaries, and no config paths beyond recommending user-editable OpenClaw config files (~/.openclaw/openclaw.json and ~/.openclaw/council-config.json). Those config edits are reasonable for a subagent orchestration skill. However, the skill's allowed operations (file read/write, exec) mean that any secrets present in the working directory or in files could be accessible to subagents, so the lack of declared secrets does not eliminate risk of accidental exposure.
Persistence & Privilege
The skill does not request 'always: true' or any special persistent privileges. It instructs editing user config files under the user's home (reasonable for defaults). It does not modify other skills or system-wide settings beyond user-level config.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install subagent-orchestration - 安装完成后,直接呼叫该 Skill 的名称或使用
/subagent-orchestration触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.3.0
Enhanced description, added tags, deepseek-v4-pro model, companion skill links
v1.2.1
Update README with multi-model council pattern, companion skill links, deepseek-v4-pro
v1.2.0
Add multi-model council pattern, deprecate single-model councils
v1.1.0
Added timeout config defaults, gateway timeout troubleshooting, runTimeoutSeconds to spawn patterns
v1.0.0
Initial release
元数据
常见问题
Subagent Orchestration 是什么?
Orchestrate OpenClaw subagents effectively. Covers all three agent types (Worker, Researcher, Council) with correct spawning patterns, sandbox constraints, t... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 137 次。
如何安装 Subagent Orchestration?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install subagent-orchestration」即可一键安装,无需额外配置。
Subagent Orchestration 是免费的吗?
是的,Subagent Orchestration 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Subagent Orchestration 支持哪些平台?
Subagent Orchestration 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Subagent Orchestration?
由 Wahaj Ahmed(@wahajahmed010)开发并维护,当前版本 v1.3.0。
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