Multi Agent Collaboration

多智能体协作系统V1.4（最终版），支持**所有行业所有内容**的智能协作： 通用信息守护者(信息采集)、内容趋势优化系统(趋势创作)、状态洞察模块(个人状态)、工作流沉淀系统(报告生成)。 适用于：金融、医疗、教育、零售、科技、制造业、餐饮、服务业等**全行业**。 核心功能：意图识别+智能路由+反思机制+主动...

Security Scan

The package broadly matches its stated multi-agent collaboration purpose, but there are several coherence and privacy/supply-chain risks (local persistent memory, background data collection, an included install script and CDN link) that you should review before installing or running it.

Purpose & Capability

The skill claims a multi-agent collaboration system and the repository contains many implementation files (demos, a compiled dist/, memory subsystem, examples) that align with that claim. Minor mismatch: the registry metadata listed no required binaries or env vars, yet the package is a Node project (package.json, demo.js) that expects a Node runtime — the platform should ensure Node is available. Also the design expects network scraping of many platforms (Weibo, Zhihu, 抖音/B站, 微信) but requests no API credentials; this may be plausible if it uses generic web search/extraction tools, but could also hide undeclared needs for cookies/API tokens.

Instruction Scope

SKILL.md and AGENT_PROMPTS explicitly instruct agents to collect and persist user data (user profiles, memory layers) and to perform multi-platform information collection and trend analysis. That is coherent with the stated purpose. However the prompts instruct proactive/background preparation ('已在后台准备模块2内容（如果继续）') and require fetching fresh info from many external platforms — this grants the skill discretion to perform network scraping and to store persistent personal/interacting data, which raises privacy considerations. The instructions do not mention explicit user consent/limits for proactive network activity or what external endpoints will be used.

Install Mechanism

There is no formal install spec in the registry (so nothing will be auto-downloaded by the platform), which is lower install risk. However the package includes an install.sh file and the UPGRADE_REPORT references a CDN URL (cdn.hailuoai.com/…/multi-agent-collaboration-v1.4.tar.gz). Those are external resources hosted on an unknown domain; if install.sh or other scripts download and execute that archive, that would be a higher-risk download-from-URL install. You should inspect install.sh and avoid running it until you verify its contents and the CDN's trustworthiness.

Credentials

The skill declares no required environment variables or credentials, but its functionality (scraping/searching many platforms, long-lived memory storage) implies need for network access and possibly credentials/cookies for some sources. It persistently writes user data to a 'memory/<skillName>' directory by default and will read/write JSON/markdown there. The absence of declared secrets is surprising given the scope of external platform scraping and persistent storage; this mismatch warrants review before granting runtime network/file permissions or providing credentials.

Persistence & Privilege

The skill is not marked always:true and is user-invocable (normal). It does, however, create and maintain a persistent multi-layer memory on disk (L0-L4) and some modules specify long retention (module4: '永久'). That persistent storage plus the skill's proactive/predictive behaviour increases privacy sensitivity. There's no registry-level 'always' privilege, but consider limiting the agent's autonomous network or file permissions and review retention/erase behavior.

What to consider before installing

What to check before installing or running this skill: - Inspect install.sh (do not run it blind). If it downloads code from the CDN link referenced in UPGRADE_REPORT, verify the URL and contents before executing. - The package is a Node project (package.json, demo.js). Ensure you run it in a sandboxed environment (container/VM) if you plan to execute demos or the install script. - The system persistently writes and reads files under memory/<skillName> by default. If you care about privacy, either change the baseDir/skillName to an isolated path or avoid running it until you confirm retention and deletion semantics. - The agent prompts instruct scraping many platforms (Weibo, Zhihu, 抖音, 微信, etc.). Determine whether that behavior will be performed by the host (web_search/extract_content tools) and whether any credentials/cookies are required; do not provide unrelated API keys or secrets to this skill. - Limit network access if possible and review code paths that perform outbound requests. If you must run it, prefer a restricted environment (no sensitive credentials, no access to production files) and monitor network activity. Why I marked it suspicious: the code and documentation are coherent with the declared purpose, but there are gaps/risks (undeclared runtime requirements, included install script + external CDN, persistent local storage and proactive background collection) that could lead to unexpected data collection or supply-chain risk if you run the project without due diligence. Additional information that would raise confidence to 'benign': an explicit install spec from a trusted registry, a reviewed install.sh with no external downloads, explicit documentation of data retention and privacy controls, and declared environment requirements (e.g., 'requires Node >=x, needs API keys: none') or an option to run in read-only/non-networked mode.

多智能体协作系统 V1.4（最终版）

🎯 最终版本：用户自适应 - 学习用户偏好，动态调整交互

V1.4 核心升级

新功能	说明
用户画像	记录用户交互偏好
自适应确认	根据跳过率调整确认频率
个性化输出	根据偏好调整报告风格
预测服务	主动预测用户下一步需求

完整执行流程

用户输入
    │
    ▼
┌─────────────────────────────────────┐
│  查用户画像 ←─────────────────────┐ │
│  • 了解用户偏好                   │ │
│  • 获取历史交互模式               │ │
└─────────────────────────────────────┘ │
    │                                    │
    ▼                                    │
意图识别 → 智能路由 ←───────────────────┘
    │                    (参考用户偏好)
    ▼
主动感知
    │
    ▼
┌─────────────────────────────────────┐
│           模块执行                   │
│  (串行/并行/跳过)                   │
└─────────────────────────────────────┘
    │
    ▼
┌─────────────────────────────────────┐
│           反思机制                   │
│  评估 → 优化 → 重试                │
└─────────────────────────────────────┘
    │
    ▼
记录行为 → 更新画像 ─────────────────→ (回到用户画像)
    │
    ▼
用户确认 → 继续/退出

---

用户画像详解

学习数据

interface UserProfile {
  user_id: string;
  
  // 交互习惯
  confirmation_habit: {
    total_decisions: number;
    skip_count: number;
    skip_rate: number;          // 跳过率
    avg_decision_time_ms: number;
  };
  
  // 输出偏好
  output_preference: {
    detailed_count: number;
    concise_count: number;
    preferred_style: 'detailed' | 'concise' | 'balanced';
  };
  
  // 推荐接受
  recommendation: {
    total: number;
    accepted: number;
    acceptance_rate: number;
  };
  
  // 执行偏好
  execution: {
    parallel_count: number;
    serial_count: number;
    preferred_mode: 'parallel' | 'serial';
  };
  
  // 模块偏好
  module_preference: {
    module_sequence_history: string[];
    common_paths: string[];
  };
  
  updated_at: string;
}

自适应策略

用户特征	系统调整
跳过率 > 60%	减少确认步骤
跳过率 < 30%	保持完整确认
偏好详细	输出更多解释
偏好精简	输出关键要点
推荐接受 > 70%	多推荐
推荐接受 < 30%	少推荐
偏好并行	优先并行执行
偏好串行	保持串行执行

---

V1.4 交互示例

完整交互流程

用户：帮我分析新能源汽车行业趋势
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

【行业分析】
识别意图：信息获取 + 内容创作
目标行业：新能源汽车

【用户画像】
┌─────────────────────────────────────┐
│  画像：user_001                     │
│  • 跳过率：75% → 简化确认           │
│  • 输出偏好：详细（80%）           │
│  • 推荐接受：90% → 多推荐           │
│  • 执行偏好：并行                   │
└─────────────────────────────────────┘

【自适应决策】
✓ 减少确认步骤
✓ 输出详细报告
✓✓ 尝试并行 多提供推荐


━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

【执行】模块1 → 模块2（并行）

【模块1 - 反思评估】
✓ 完整性：90% | 质量：8.2/10 | 可用性：92%

【模块2 - 反思评估】
✓ 完整性：88% | 质量：8.0/10 | 可用性：90%

【模块执行完成】

【自适应确认】
✓ 跳过非必要确认（跳过率75%）

摘要：
- 行业趋势：3个
- 创作方案：2套
- 预估时间：25分钟

继续到模块3/4？
1. 继续到模块3
2. 继续到模块4
3. 查看完整报告
4. 结束

请回复：
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

预测性服务

用户：看看金融行业新闻

【行业分析】
识别意图：信息获取
目标行业：金融

【预测服务】
根据您的历史行为：
━━━━━━━━━━━━━━━━━━━━━━━━━━━
• 87% 概率：您会继续到模块2（创作）
• 60% 概率：您会查看详细报告
• 常用路径：模块1 → 模块2
━━━━━━━━━━━━━━━━━━━━━━━━━━━

【预执行】
已在后台准备模块2内容（如果继续）

开始执行模块1...
━━━━━━━━━━━━━━━━━━━━━━━━━━━

注意：以上示例适用于任何行业（金融、医疗、教育、零售、科技、新能源汽车、餐饮等）

---

全面自检报告

✅ 版本一致性检查

检查项	状态	说明
V1.0 核心保留	✓	串行流程、用户确认、数据传递、灵活退出
V1.1 增量引入	✓	意图识别、智能路由、并行执行
V1.2 增量引入	✓	反思机制、自动重试、优化尝试
V1.3 增量引入	✓	主动感知、增量更新、模式复用
V1.4 增量引入	✓	用户画像、自适应、预测服务

✅ 功能完整性检查

模块	功能	状态
模块1	信息采集+过滤+评估+分级	✓
模块2	趋势分析+爆款分析+创作方案+发布策略	✓
模块3	状态分析+成长洞察+AI信件	✓
模块4	工具推荐+工作流记录+模板生成+效率报告	✓

✅ 记忆系统检查

功能	状态
五层架构（L0-L4）	✓
场景化配置	✓
智能检索	✓
遗忘机制	✓
反馈闭环	✓
增量更新	✓

✅ 逻辑一致性检查

检查项	状态
模块执行顺序（1→2/3/4）	✓
数据传递（后续模块可访问前置输出）	✓
用户确认点（每模块后）	✓
灵活退出（任何时候可退出）	✓
记忆流转（L0→L2→L3→L4）	✓
反思触发（每模块后）	✓
自适应依赖（需要画像数据）	✓

✅ 向后兼容性检查

配置项	默认值	可关闭
intent_recognition	true	✓
smart_routing	true	✓
parallel_execution	true	✓
reflection	true	✓
proactive_memory	true	✓
user_adaptation	true	✓
user_confirmation	true	✗ (必须开启)
data_passing	true	✗ (必须开启)
flexible_exit	true	✗ (必须开启)

---

完整配置

const MULTI_AGENT_SYSTEM_V1_4 = {
  // 版本
  version: "1.4",
  release_date: "2026-02-25",
  
  // V1.4 功能
  user_adaptation: {
    enabled: true,
    profile_tracking: true,
    adaptive_confirmation: true,
    personalized_output: true,
    predictive_service: true
  },
  
  // V1.3 功能
  proactive_memory: {
    enabled: true,
    incremental_update: true,
    cache_ttl_hours: 168,
    reuse_bonus: 0.2
  },
  
  // V1.2 功能
  reflection: {
    enabled: true,
    auto_retry: true,
    max_retries: 3,
    dimensions: ['completeness', 'quality', 'usability']
  },
  
  // V1.1 功能
  routing: {
    intent_recognition: true,
    smart_routing: true,
    parallel_execution: true,
    patterns: ['serial', 'parallel', 'skip', '精简']
  },
  
  // V1 核心（不可关闭）
  core: {
    user_confirmation: true,
    data_passing: true,
    flexible_exit: true
  },
  
  // 模块配置
  modules: {
    module1: {
      name: "信息守护者",
      layer: "L0",
      retention: "1小时"
    },
    module2: {
      name: "内容趋势优化系统",
      layer: "L2",
      retention: "7天"
    },
    module3: {
      name: "状态洞察模块",
      layer: "L3-L4",
      retention: "90天"
    },
    module4: {
      name: "工作流沉淀系统",
      layer: "L3",
      retention: "永久"
    }
  },
  
  // 记忆系统
  memory: {
    enabled: true,
    layers: ['L0', 'L1', 'L2', 'L3', 'L4'],
    scenarios: ['duty', 'sentiment', 'workflow', 'goal', 'general']
  }
};

---

执行模式汇总

模式	V1.0	V1.1	V1.2	V1.3	V1.4
串行执行	✓	✓	✓	✓	✓
意图识别	-	✓	✓	✓	✓
智能路由	-	✓	✓	✓	✓
并行执行	-	✓	✓	✓	✓
反思机制	-	-	✓	✓	✓
主动感知	-	-	-	✓	✓
用户自适应	-	-	-	-	✓

---

参考文档

• 完整工作流设计： references/workflow-design.md
• 模块间数据流转： references/data-flow.md
• 记忆系统V2源码： scripts/memory-v2.ts