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e2e5g

Multi Agent Collaboration

by e2e5g · GitHub ↗ · v2.0.0 · MIT-0
cross-platform ⚠ suspicious
4013
Downloads
1
Stars
42
Active Installs
2
Versions
Install in OpenClaw
/install multi-agent-collaboration
Description
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...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install multi-agent-collaboration
  3. After installation, invoke the skill by name or use /multi-agent-collaboration
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug multi-agent-collaboration
Version 2.0.0
License MIT-0
All-time Installs 42
Active Installs 42
Total Versions 2
Frequently Asked Questions

What is Multi Agent Collaboration?

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... It is an AI Agent Skill for Claude Code / OpenClaw, with 4013 downloads so far.

How do I install Multi Agent Collaboration?

Run "/install multi-agent-collaboration" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Multi Agent Collaboration free?

Yes, Multi Agent Collaboration is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Multi Agent Collaboration support?

Multi Agent Collaboration is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Multi Agent Collaboration?

It is built and maintained by e2e5g (@e2e5g); the current version is v2.0.0.

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