Agent Swarm

Manages multi-agent swarms with coordination, task sharding, self-organization, emergent behavior, and real-time monitoring for intelligent collective action.

Security Scan

The skill's code, README (SKILL.md), and metadata are coherent with its stated purpose (an in-process agent swarm coordinator) and it does not request extra credentials, network endpoints, or unusual install steps.

Purpose & Capability

Name/description describe a multi-agent swarm coordinator; the code implements a SwarmCoordinator with task sharding, agent registration, execution, and monitoring. There are no unrelated binaries, credentials, or services requested.

Instruction Scope

SKILL.md only documents the library API, usage examples, npm install/test commands, and feature descriptions. It does not instruct the agent to read system files, access environment secrets, or call external endpoints.

Install Mechanism

No install spec in the registry; package.json has no external dependencies and SKILL.md suggests running npm install and npm test. No downloads from arbitrary URLs or archive extraction are present.

Credentials

The skill declares no required environment variables or credentials and the source files do not read process.env or access system config paths.

Persistence & Privilege

Skill has default privileges (not always:true). It does not modify other skills or agent-wide configuration and requires no persistent system presence.

Assessment

This package appears internally consistent and runs entirely in-process (no network/credential access). Before installing, you may want to: (1) run the tests locally (npm test) in an isolated environment; (2) review the small source files yourself to confirm behavior; and (3) note that the registry entry lists an unknown source/homepage—if you need provenance, try to find an upstream repository or author before using it in production.

Agent Swarm - 群体智能核心

Agent 群体智能核心系统，实现真正的群体智能能力，包括群体协调、任务分片、自组织和涌现行为。

功能特性

1. 群体协调 (SwarmCoordinator)

• 群体生命周期管理
• 成员发现与注册
• 通信协议
• 共识机制

2. 任务分片 (TaskSharder)

• 任务分解
• 负载均衡
• 依赖管理
• 结果合并

3. 自组织 (SelfOrganizer)

• 角色分配
• 动态重组
• 故障转移
• 自适应调整

4. 涌现行为 (EmergentBehavior)

• 集体决策
• 模式识别
• 群体学习
• 智能涌现

5. Swarm 监控 (SwarmMonitor)

• 群体状态监控
• 性能指标
• 异常检测
• 可视化

安装

npm install

使用示例

const { SwarmCoordinator, TaskSharder, SelfOrganizer, SwarmMonitor } = require('./src');

// 创建群体协调器
const swarm = new SwarmCoordinator({
  maxAgents: 100,
  consensusThreshold: 0.7,
  communicationProtocol: 'broadcast'
});

// 创建群体
const swarmId = swarm.createSwarm({
  name: 'code-generation-swarm',
  specialization: 'code'
});

// 添加 Agent
swarm.addAgent(swarmId, {
  id: 'agent-1',
  capabilities: ['javascript', 'python'],
  capacity: 5
});

// 执行任务
const result = await swarm.executeTask(swarmId, {
  type: 'generate-code',
  input: 'Create a web server',
  shardStrategy: 'parallel'
});

API 文档

SwarmCoordinator

Constructor Options

• maxAgents (number): 最大 Agent 数量
• consensusThreshold (number): 共识阈值 (0-1)
• communicationProtocol (string): 通信协议 ('broadcast' | 'gossip' | 'direct')

Methods

• createSwarm(config) - 创建新群体
• destroySwarm(swarmId) - 销毁群体
• addAgent(swarmId, agent) - 添加 Agent
• removeAgent(swarmId, agentId) - 移除 Agent
• executeTask(swarmId, task) - 执行任务
• reachConsensus(swarmId, proposal) - 达成共识

TaskSharder

Methods

• shard(taskConfig) - 分解任务
• assign(shards, agents) - 分配分片
• merge(results) - 合并结果
• getDependencies(shardId) - 获取依赖

SelfOrganizer

Methods

• assignRoles(agents, config) - 分配角色
• adapt(swarm, config) - 自适应调整
• reorganize(swarmId) - 重新组织
• handleFailure(swarmId, agentId) - 处理故障

EmergentBehavior

Methods

• collectiveDecision(swarm, options) - 集体决策
• recognizePattern(data) - 模式识别
• learnFromExperience(experience) - 群体学习
• detectEmergence(swarm) - 检测涌现

SwarmMonitor

Methods

• getMetrics(swarmId) - 获取指标
• detectAnomalies(swarmId) - 异常检测
• getVisualization(swarmId) - 获取可视化数据
• exportReport(swarmId) - 导出报告

测试

npm test

License

MIT