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PL Agent Orchestration
作者
samledger67-dotcom
· GitHub ↗
· v1.0.0
· MIT-0
163
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当前安装
1
版本数
在 OpenClaw 中安装
/install pl-agent-orchestration
功能描述
Multi-agent orchestration patterns for production deployments. Covers sub-agent QC workflow, model staggering across 5+ models, cross-validation patterns, fa...
安全使用建议
This skill is an instruction-only orchestration guide and appears internally consistent. Before using it: ensure your agent environment provides the necessary model API credentials (the SKILL does not request them), set quotas/limits to control cost, review privacy policies for every model provider you call (sensitive data will be sent to multiple third parties), test the patterns in a safe sandbox, and monitor/autopsy agent actions and billing when you enable autonomous runs.
功能分析
Type: OpenClaw Skill
Name: pl-agent-orchestration
Version: 1.0.0
The skill bundle provides comprehensive documentation and architectural patterns for multi-agent orchestration, including quality control loops, model routing, and cost optimization. The provided Python examples and configuration snippets (SKILL.md) are educational and align with standard AI engineering practices without any evidence of malicious intent, data exfiltration, or unauthorized execution.
能力评估
Purpose & Capability
The name and description match the SKILL.md content: it documents multi-agent orchestration, QC loops, model staggering, routing, and cost tradeoffs. All required resources referenced are models and orchestration patterns, which are appropriate for this purpose. There are no unrelated environment variables, binaries, or config paths requested.
Instruction Scope
SKILL.md contains patterns, examples, and pseudocode (call_model calls) that stay within orchestration and routing concerns. It does not instruct reading local files, scraping unrelated system state, or exfiltrating data to unknown endpoints. It does assume the availability of multiple model APIs, which is expected for this skill.
Install Mechanism
There is no install spec and no code files — the skill is instruction-only, so nothing will be written to disk or installed by the skill itself.
Credentials
The skill declares no required env vars or credentials, which is reasonable for an instruction-only orchestration guide. In practice, using these patterns will require API keys/credentials for each model provider; that is expected but correctly left to the host environment rather than embedded in the skill.
Persistence & Privilege
always is false and the skill does not request persistent or elevated privileges or indicate it will modify other skills or system-wide settings.
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 pl-agent-orchestration - 安装完成后，直接呼叫该 Skill 的名称或使用
/pl-agent-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
v1.0.0
Initial release: Multi-agent orchestration patterns for production deployments
元数据
常见问题
PL Agent Orchestration 是什么？
Multi-agent orchestration patterns for production deployments. Covers sub-agent QC workflow, model staggering across 5+ models, cross-validation patterns, fa... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 163 次。
如何安装 PL Agent Orchestration？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pl-agent-orchestration」即可一键安装，无需额外配置。
PL Agent Orchestration 是免费的吗？
是的，PL Agent Orchestration 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
PL Agent Orchestration 支持哪些平台？
PL Agent 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 PL Agent Orchestration？
由 samledger67-dotcom（@samledger67-dotcom）开发并维护，当前版本 v1.0.0。
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