← 返回 Skills 市场
e2e5g

Multi Agent Collaboration

作者 e2e5g · GitHub ↗ · v2.0.0 · MIT-0
cross-platform ⚠ suspicious
4013
总下载
1
收藏
42
当前安装
2
版本数
在 OpenClaw 中安装
/install multi-agent-collaboration
功能描述
Claude Grade 多智能体协作技能。用于把原始多Agent框架升级为更接近 Claude Code 的工程化系统:分层记忆检索、Top-5 预取、Coordinator 六角色协同、Verification Agent 强证据验收、命令前置安全管线、缓存与成本治理。适用于需要“多Agent不空转、记忆不瞎...
安全使用建议
Install only if you are comfortable with local persistent memory and personal/workflow profiling. Review and restrict the memory directory, avoid entering secrets or sensitive personal details, and prefer a sandboxed/test namespace until the publisher clearly documents retention, deletion, consent, and which modules are actually in scope.
功能分析
Type: OpenClaw Skill Name: multi-agent-collaboration Version: 2.0.0 The skill bundle provides a comprehensive framework for multi-agent collaboration, featuring a structured five-level memory system (L0–L4), a command safety auditor, and a verification agent. The core logic, implemented in files like `dist/core/memory.js` and `dist/systems/safety.js`, focuses on categorizing information, tracking goals, and orchestrating agent roles (coordinator, explorer, verifier, etc.). The `SafetyGatePipeline` specifically includes defensive regex-based guards to detect and block dangerous operations such as recursive deletions (`rm -rf`), privilege escalation (`sudo`), and remote script execution (`curl | bash`). No evidence of data exfiltration, unauthorized persistence, or malicious intent was found; the code and documentation are entirely consistent with the stated purpose of an engineering-grade agent orchestration system.
能力评估
Purpose & Capability
The main SKILL/README describe a Claude Grade engineering-oriented multi-agent framework, but bundled prompts and runtime exports also cover cross-platform information collection, content strategy, workflow recording, personal goal tracking, AI mirror letters, and future-self predictions.
Instruction Scope
The agent prompts instruct broad collection from social and content platforms and include user-adaptive confirmation skipping concepts; some prompts require user choices, but the total scope is materially broader than the advertised engineering collaboration use case.
Install Mechanism
The install script uses ordinary npm install/build steps, but it also runs a demo that initializes the system and writes sample memory data. No postinstall hook, obfuscation, privilege escalation, or remote script execution was found.
Credentials
Local disk memory is coherent for a memory-based collaboration system, but the artifacts can retain arbitrary prompts, goals, user state, behavioral inferences, and synced shared memory without clear consent, minimization, or per-user containment.
Persistence & Privilege
The dist code creates L1-L4 memory files, Claude memory JSON, and shared sync files; docs describe long-lived or permanent retention, while code lacks clear deletion, retention, redaction, or opt-out controls for sensitive personal data.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install multi-agent-collaboration
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /multi-agent-collaboration 触发
  4. 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
v2.0.0
- Major upgrade: Integrates Claude Code style mechanisms for multi-agent systems, emphasizing verifiable results and robust execution. - Added ClaudeMemorySystem with five-tier memory (identity, correction, task, project, reference) and top-5 retrieval before reasoning. - Introduced ClaudeCoordinator featuring six distinct agent roles to structure collaboration. - Added VerificationAgent to enforce strong evidence-based validation. - Implemented SafetyGatePipeline with 14 built-in guards for command pre-execution auditing. - Introduced CostGovernor for cache/call tracking and cost observability. - Provided direct usage examples, key source files, and templates for immediate integration.
v1.0.0
Initial release of multi-agent-collaboration skill V1.0.0: - Provides a comprehensive multi-agent collaboration system for all industries. - Key features: intent recognition, smart routing, reflection, proactive perception, user adaptation. - Supports serial, parallel, skip, and streamlined execution modes. - Includes advanced memory system with scenario-based, layered storage, forgetting mechanism, and intelligent retrieval. - Automatically learns user preferences, adapts interactions, and predicts user needs.
元数据
Slug multi-agent-collaboration
版本 2.0.0
许可证 MIT-0
累计安装 42
当前安装数 42
历史版本数 2
常见问题

Multi Agent Collaboration 是什么?

Claude Grade 多智能体协作技能。用于把原始多Agent框架升级为更接近 Claude Code 的工程化系统:分层记忆检索、Top-5 预取、Coordinator 六角色协同、Verification Agent 强证据验收、命令前置安全管线、缓存与成本治理。适用于需要“多Agent不空转、记忆不瞎... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 4013 次。

如何安装 Multi Agent Collaboration?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install multi-agent-collaboration」即可一键安装,无需额外配置。

Multi Agent Collaboration 是免费的吗?

是的,Multi Agent Collaboration 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Multi Agent Collaboration 支持哪些平台?

Multi Agent Collaboration 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 Multi Agent Collaboration?

由 e2e5g(@e2e5g)开发并维护,当前版本 v2.0.0。

💬 留言讨论