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在 OpenClaw 中安装
/install szzg007-multi-agent-orchestrator
功能描述
自主编排多 Agent 任务执行流程,实现智能分配、进度监控与结果汇总,支持多产品线协同运营。
安全使用建议
Before installing or enabling: 1) Ask the publisher to explain what exact files/configs the skill needs and why (agent-matrix.json, task queues, webhook). 2) Verify what is stored in ~/.openclaw/config/agent-matrix.json — it may contain channel tokens or credentials; do not grant access until you confirm contents. 3) Because the manifest declares no env vars but SKILL.md expects many, treat that as a red flag: require the skill author to update the registry metadata to list required env vars and config paths. 4) If you want to test it, run in an isolated/sandbox user account with dummy agent-matrix and webhook values to avoid exposing real tokens. 5) Check the referenced helper skills (szzg007-*) and local scripts — they are not bundled; ask whether they are required and where they come from. 6) Prefer least-privilege: supply only specific, limited webhook endpoints and non-production config during testing, and avoid placing real channel/telegram/feishu tokens in any file the skill may read until you trust the publisher. If the author cannot justify the config/credential needs or provide a source/homepage, treat the skill as untrusted.
功能分析
Type: OpenClaw Skill
Name: szzg007-multi-agent-orchestrator
Version: 1.0.0
The skill bundle defines a framework for a multi-agent orchestration system designed for business operations (marketing, sales, and task management). The SKILL.md file provides detailed instructions for task decomposition, agent allocation, and progress reporting within a specific organizational context ('MOSSRIVER'). While it references configuration paths (e.g., ~/.openclaw/config/agent-matrix.json) and external webhooks for alerts, these are standard for the described functionality. No executable code was provided for analysis, and the markdown instructions do not contain any evidence of malicious intent, data exfiltration, or prompt injection attacks.
能力评估
Purpose & Capability
The name/description (multi‑agent orchestrator) aligns with the SKILL.md content, but the registry metadata declares no required env vars or config paths while SKILL.md clearly expects a workspace (~/.openclaw/...), config files (agent-matrix.json, task-rules.json) and references to several other szzg007-* skills. That mismatch (declared requirements: none vs. instructions: expect local config and other skills) is incoherent and worth questioning.
Instruction Scope
SKILL.md gives explicit runtime behavior: read/write under ~/.openclaw/workspace/skills/szzg007-multi-agent-orchestrator/, read agent-matrix.json, read/write task queues, and use an ALERT_WEBHOOK_URL/REPORT_CHANNEL. It also references scripts (decompose.py, monitor.py, etc.) and other skills. Those are actionable instructions that would cause the agent to access local config and possibly channel/webhook endpoints — but no such files/scripts are bundled and the registry didn't declare these paths or variables.
Install Mechanism
This is instruction-only with no install spec and no bundled code. That lowers the immediate disk/write risk because nothing is downloaded/installed by the skill manifest itself.
Credentials
Although the registry lists no required env vars, SKILL.md lists configuration environment variables (AGENT_MATRIX_CONFIG, TASK_QUEUE_PATH, ALERT_WEBHOOK_URL, REPORT_CHANNEL, DEFAULT_MODEL, etc.). If followed, the agent would read those values and the referenced agent-matrix.json could contain channel tokens or credentials for other agents/channels (Feishu/Telegram), which are sensitive. Asking for or reading such config is disproportionate for an instruction-only skill unless the user explicitly consents and understands what those config files contain.
Persistence & Privilege
always is false and autonomous invocation is allowed (the platform default). The skill's instructions imply persistent state in ~/.openclaw/workspace/tasks/ and config under ~/.openclaw/config/, which could grant ongoing access to task queues and agent matrix if the agent executes those steps. This is not a platform privilege escalation, but it does mean the skill would interact with persistent agent config and other skills' artifacts if run.
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 szzg007-multi-agent-orchestrator - 安装完成后,直接呼叫该 Skill 的名称或使用
/szzg007-multi-agent-orchestrator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
v1.0.0
Initial publish
元数据
常见问题
SZZG007 Multi Agent Orchestrator 是什么?
自主编排多 Agent 任务执行流程,实现智能分配、进度监控与结果汇总,支持多产品线协同运营。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 64 次。
如何安装 SZZG007 Multi Agent Orchestrator?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install szzg007-multi-agent-orchestrator」即可一键安装,无需额外配置。
SZZG007 Multi Agent Orchestrator 是免费的吗?
是的,SZZG007 Multi Agent Orchestrator 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
SZZG007 Multi Agent Orchestrator 支持哪些平台?
SZZG007 Multi Agent Orchestrator 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 SZZG007 Multi Agent Orchestrator?
由 szzg007(@szzg007)开发并维护,当前版本 v1.0.0。
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