--- name: aagent-system description: "多智能体自动化系统，用于AI Agent技能样本采集、安全扫描、威胁情报收集和研究分析。支持单机多进程架构，可自动采集样本、检测恶意技能、提取IOC、更新规则。触发命令: /aagent start" --- # AAgent System 多智能体自动化系统 - 技能安全研究利器 ## 功能 1. **样本采集** - 从npm/GitHub/ClawHub自动采集技能样本 2. **安全扫描** - 检测恶意代码、凭证泄露、C2连接 3. **威胁情报** - 自动收集安全威胁情报 4. **规则迭代** - 持续优化检测规则 ## 架构 ``` 采集层(4进程) → 分析层(2进程) → 研究层(2进程) ``` ## 使用 ### 启动系统 ``` /aagent start ``` ### 停止系统 ``` /aagent stop ``` ### 查看状态 ``` /aagent status ``` ### 查看样本 ``` /aagent samples ``` ## 管理命令 ```bash # 启动 node ~/.openclaw/workspace/skills/aagent-system/bin/agent-manager.cjs start # 状态 node ~/.openclaw/workspace/skills/aagent-system/bin/agent-manager.cjs status # 停止 node ~/.openclaw/workspace/skills/aagent-system/bin/agent-manager.cjs stop ``` ## 配置目标样本: 2,000,000 FILE:ARCHITECTURE.md # AAgent System 架构设计 v2.0 ## 🎯 系统架构图 ``` ┌─────────────────────────────────────────────────────────────┐ │ 🎯 Orchestrator (总体协调) │ │ - 启动所有角色 │ │ - 健康检查 (每30秒) │ │ - 故障自动恢复 │ │ - 阈值触发研究者 (每1000新样本) │ └─────────────────────────────────────────────────────────────┘ │ ┌─────────────────────┼─────────────────────┐ ▼ ▼ ▼ ┌───────────────┐ ┌───────────────┐ ┌───────────────┐ │ Collector │ │ Scanner │ │ Researcher │ │ 采集器 x5 │ │ 扫描器 x1 │ │ 研究者 │ │ │ │ │ │ │ │ - npm 采集 │ │ - 安全扫描 │ │ - 阈值触发 │ │ - cnpm 镜像 │ │ - 恶意检测 │ │ - 1000样本 │ └───────────────┘ └───────────────┘ └───────────────┘ │ │ │ └─────────────────────┼─────────────────────┘ ▼ ┌─────────────────────────┐ │ 📊 Performance │ │ (性能监控与决策) │ │ - 响应时间 │ │ - 成功率 │ │ - 限流检测 │ └─────────────────────────┘ │ ▼ ┌─────────────────────────┐ │ 📦 Data Center │ │ (数据存储与分析) │ │ │ │ - samples.json │ │ - perf-stats.json │ │ - malicious.json │ │ - evolution.json │ └─────────────────────────┘ ``` ## 🔄 角色职责与启动规则 | 角色 | 数量 | 启动条件 | 职责 | 健康检查 | |------|------|----------|------|----------| | **Orchestrator** | 1 | 始终 | 总体协调、健康检查、触发研究 | 30秒 | | **Collector** | 5 | 始终 | 多源样本采集 | 30秒 | | **Scanner** | 1 | 始终 | 安全扫描、恶意检测 | 30秒 | | **Researcher** | 1 | 阈值触发 | 研究分析 (每1000新样本) | 5分钟 | | **Evolver** | 1 | 始终 | 自我演进优化 | 5分钟 | | **Designer** | 1 | 始终 | 指标权衡、架构设计 | 5分钟 | | **PerfMonitor** | 1 | 始终 | 性能监控统计 | 1分钟 | ## 📊 触发机制 ### 研究者触发规则 ``` IF (当前样本数 - 上次研究样本数) >= 1000 THEN 启动 Researcher 生成研究报告更新上次研究样本数 ``` ### 健康检查规则 ``` 每30秒检查: FOR EACH 角色: IF 运行数量 < 期望数量 THEN 启动缺失进程记录日志 ``` ### 故障恢复规则 ``` IF 进程崩溃 THEN 等待 restartDelay 自动重启记录恢复日志 ``` ## 📈 性能指标 ### 市场指标 | 市场 | URL | 超时 | 极限速率 | 成功率 | 推荐权重 | |------|-----|------|----------|--------|----------| | **cnpm** | registry.npmmirror.com | 5s | 150/分 | **99%** | 80% | | npm | registry.npmjs.com | 5s | 40/分 | 25% | 20% | ### 关键阈值 | 指标 | 目标 | 警告 | 严重 | |------|------|------|------| | 样本增长率 | 1000/h | <500/h | <100/h | | API成功率 | >95% | <80% | <50% | | 内存使用 | <60% | >75% | >90% | | 采集延迟 | <2s | >5s | >10s | ## 📦 数据流 ``` ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ │Collector │ → │ Scanner │ → │ Storage │ → │Researcher│ → │Evolver │ │ 采集 │ │ 扫描 │ │ 存储 │ │ 研究(阈值)│ │ 演进 │ └─────────┘ └─────────┘ └─────────┘ └─────────┘ └─────────┘ ↓ 阈值检查 ──────────────────────────→ 触发研究 ``` ## 🔧 启动命令 ```bash # 启动 Orchestrator (会自动启动所有角色) cd ~/.openclaw/workspace/skills/aagent-system node agents/orchestrator/agent.cjs & # 或手动启动 for i in {0..4}; do AGENT_NAME=ultra-collector AGENT_INDEX=$i node agents/ultra-collector/agent.cjs & done node agents/fast-scanner/agent.cjs & node agents/evolver/agent.cjs & node agents/designer/agent.cjs & ``` ## 🛡️ 健康保障 1. **自动启动** - Orchestrator 启动时自动启动所有角色 2. **健康检查** - 每30秒检查进程状态 3. **故障恢复** - 进程崩溃自动重启 4. **阈值触发** - 样本达到阈值自动触发研究 5. **资源保护** - 预留20%资源空闲 ## 📋 状态查看 ```bash # 查看样本 node -e "console.log('样本:', require('./data/samples.json').length)" # 查看进程 ps aux | grep agent.cjs | grep -v grep # 查看日志 tail -f data/orchestrator.log ``` --- *版本: v2.0* *最后更新: 2026-03-01* FILE:TARGET.md # 采集目标 ## 当前目标: 2,000,000 (200万) ### 进度 - 当前: ... - 目标: 2,000,000 ### 来源分布 | 来源 | 目标数量 | |------|----------| | npm | 1,000,000 | | GitHub | 500,000 | | ClawHub | 200,000 | | 其他市场 | 300,000 | ### 标准技能来源 1. npm registry 2. GitHub awesome lists 3. ClawHub (clawhub.ai) 4. skills.sh 5. SkillsMP 6. SkillsLLM 7. Awesome MCP Servers ### 数据检索记录 - 记录采集时间 - 记录采集来源 - 记录关键词 - 记录匹配规则 FILE:agents/analyzer/agent.cjs #!/usr/bin/env node const {exec} = require('child_process'); const AGENT = 'analyzer'; function log(m){console.log(`[${AGENT}] ${m}`);} function wait(ms){return new Promise(r=>setTimeout(r,ms));} async function analyze(){ try{ await new Promise((r,e)=>exec('~/aass-scripts/3layer_scheduler.sh analyzer 2>&1',{timeout:300000},(ex,out)=>ex?e(ex):r(out))); log('分析完成'); }catch(e){log('err:'+e.message);} } async function loop(){ log('启动'); while(true){ await analyze(); await wait(600000+Math.random()*300000); } } loop(); FILE:agents/collector/agent.cjs #!/usr/bin/env node const fs = require('fs'), path = require('path'), {exec} = require('child_process'), https = require('https'), http = require('http'); const AGENT = process.env.AGENT_NAME || 'collector'; const INDEX = process.env.AGENT_INDEX || 0; const TARGET = 1000000; const DATA = path.join(__dirname, '..', '..', 'data'); const SAMPLES = path.join(DATA, 'samples.json'); const STATS = { success: 0, fail: 0, total: 0 }; // 高质量核心关键词 (去除无效变体) const CORE_KEYWORDS = [ // AI/LLM 'openclaw', 'claude', 'gpt', 'llm', 'langchain', 'openai', 'anthropic', 'gemini', 'chatbot', 'ai-agent', 'autogen', 'crewai', 'phi-data', // IDE/Editor 'cursor', 'windsurf', 'vscode', 'sublime', 'vim', 'emacs', // DevOps 'docker', 'kubernetes', 'k8s', 'terraform', 'ansible', // Crypto 'crypto', 'wallet', 'ethereum', 'solana', 'bitcoin', 'web3', // 通信 'telegram', 'discord', 'slack', 'whatsapp', 'feishu', 'lark', // 效率 'notion', 'obsidian', 'zapier', 'n8n', 'automation', // MCP/技能 'mcp', 'mcp-server', 'mcp-client', 'skill', 'plugin', 'extension', // 安全 (攻防) 'security', 'audit', 'pentest', 'exploit', 'vulnerability', 'cve', // 恶意样本关键词 'stealer', 'keylogger', 'miner', 'cryptominer', 'trojan', 'backdoor', 'rat' ]; // 仅保留有效的变体 const VARIANTS = CORE_KEYWORDS.flatMap(kw => [ kw, kw + '-js', kw + '-py', kw + '-ts', kw + '-core', kw + '-cli', kw + '-sdk', '@' + kw, kw + '-ai', 'ai-' + kw ]); const ALL_KEYWORDS = [...new Set([...CORE_KEYWORDS, ...VARIANTS])]; function log(m){ console.log(`[${AGENT}-${INDEX}] ${m}`); } // HTTP 请求封装 function fetch(url, timeout = 10000) { return new Promise((resolve, reject) => { const proto = url.startsWith('https') ? https : http; const req = proto.get(url, { timeout }, res => { if (res.statusCode !== 200) return reject(new Error(`HTTP ${res.statusCode}`)); let data = ''; res.on('data', chunk => data += chunk); res.on('end', () => resolve(data)); }); req.on('error', reject); req.on('timeout', () => { req.destroy(); reject(new Error('Timeout')); }); }); } function save(p){ let s = []; if(fs.existsSync(SAMPLES)) try { s = JSON.parse(fs.readFileSync(SAMPLES, 'utf8')) } catch {} const key = `${p.source}:${p.name}`; if(s.find(x => `${x.source}:${x.name}` === key)) return false; s.push({ ...p, agent: AGENT, index: INDEX, at: new Date().toISOString() }); fs.writeFileSync(SAMPLES, JSON.stringify(s, null, 2)); return true; } function wait(ms) { return new Promise(r => setTimeout(r, ms)); } // 使用 npm registry API async function collectNpm(kw) { try { // 使用 registry.npmjs.com 搜索 const url = `https://registry.npmjs.com/-/v1/search?text=${encodeURIComponent(kw)}&size=30&from=0`; const html = await fetch(url, 15000); const data = JSON.parse(html); if (data.objects && data.objects.length > 0) { let c = 0; for (const pkg of data.objects.slice(0, 30)) { const item = pkg.package; if (save({ name: item.name, version: item.version, description: item.description, publisher: item.publisher?.name, source: 'npm-registry', keyword: kw, domain: 'npmjs.com' })) c++; } STATS.success += c; log(`+${c} ${kw}`); return c; } } catch (e) { STATS.fail++; log(`err ${kw}: ${e.message}`); } return 0; } // 备用: 使用 npm search async function collectNpmSearch(kw) { try { const { exec } = require('child_process'); return new Promise((resolve) => { exec(`npm search "${kw}" --json 2>/dev/null`, { timeout: 15000 }, (ex, out) => { if (ex) { resolve(0); return; } try { const p = JSON.parse(out); if (Array.isArray(p) && p.length) { let c = 0; for (const x of p.slice(0, 30)) { if (save({ name: x.name, version: x.version, source: 'npm', keyword: kw })) c++; } STATS.success += c; log(`+${c} ${kw} [search]`); resolve(c); } else { resolve(0); } } catch { resolve(0); } }); }); } catch { return 0; } } async function collect() { const kw = ALL_KEYWORDS[Math.floor(Math.random() * ALL_KEYWORDS.length)]; STATS.total++; // 先尝试 npm registry API let count = await collectNpm(kw); // 如果没结果，备用 npm search if (count === 0) { await wait(1000); // 避免太快 count = await collectNpmSearch(kw); } // 统计每100次 if (STATS.total % 100 === 0) { const rate = STATS.success / STATS.total * 100; log(`统计: 成功率 ${rate.toFixed(1)}% (${STATS.success}/${STATS.total})`); } } async function loop() { log(`启动优化版目标:${TARGET} 关键词:${ALL_KEYWORDS.length}`); let round = 0; while (true) { round++; await collect(); // 随机延迟 5-12 秒 await wait(5000 + Math.random() * 7000); const s = fs.existsSync(SAMPLES) ? JSON.parse(fs.readFileSync(SAMPLES, 'utf8')).length : 0; log(`进度:${s}/${TARGET} 轮:${round}`); } } loop(); FILE:agents/config.json { "collectors": 45670, "interval": 3000, "keywords": [ "obsidian-cli", "phi-data-py", "exploit-core", "mcp-client-js", "keylogger-js", "vim-ts", "emacs", "zapier-sdk", "docker-ai", "ai-openclaw" ], "sources": [ "npm-registry", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", 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"mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market", "github", "mcp-market" ], "strategies": { "useRegistryApi": true, "useSearch": true, "typosquatting": false } } FILE:agents/designer/agent.cjs #!/usr/bin/env node /** * 🎨 Designer Agent - 系统设计与指标权衡 * * 职责: * - 定义评估指标与目标 * - 权衡策略调整 * - 系统架构设计 * - 长周期演进规划 */ const fs = require('fs'), path = require('path'); const DATA_DIR = path.join(__dirname, '..', '..', 'data'); const DESIGN_FILE = path.join(DATA_DIR, 'design.json'); const CONFIG_FILE = path.join(__dirname, '..', 'config.json'); function log(msg) { console.log(`[DESIGNER] ${msg}`); } function readJson(file, def = {}) { if (!fs.existsSync(file)) return def; try { return JSON.parse(fs.readFileSync(file, 'utf8')) } catch { return def; } } function writeJson(file, data) { fs.writeFileSync(file, JSON.stringify(data, null, 2)); } // 指标定义与权衡规则 const METRICS = { // 核心指标 samples: { target: 100000, minAcceptable: 10000, window: '7d', weight: 0.3 }, dailyRate: { target: 10000, minAcceptable: 1000, window: '24h', weight: 0.25 }, sources: { target: 5, minAcceptable: 2, window: 'static', weight: 0.15 }, quality: { target: 95, minAcceptable: 80, window: 'static', weight: 0.15 }, efficiency: { target: 500, minAcceptable: 50, window: '1h', weight: 0.15 }, // 派生指标 health: { target: 90, minAcceptable: 60, window: '1h', weight: 0 }, cost: { target: 0.1, minAcceptable: 0.5, window: '1h', weight: 0 } // 资源消耗 }; // 评估指标 function evaluateMetrics(samples, stats) { const results = {}; const now = Date.now(); const hour = 3600000; const day = hour * 24; // 计算各项指标 const last1h = samples.filter(s => now - new Date(s.at).getTime() < hour).length; const last24h = samples.filter(s => now - new Date(s.at).getTime() < day).length; const last7d = samples.filter(s => now - new Date(s.at).getTime() < day * 7).length; const sources = new Set(samples.map(s => s.source)).size; const suspicious = samples.filter(s => s.suspicious).length; const quality = samples.length > 0 ? ((samples.length - suspicious) / samples.length * 100) : 0; // 评估每个指标 const eval = (name, current, target, minAcceptable) => { const ratio = current / target; const status = ratio >= 1 ? 'excellent' : ratio >= minAcceptable/target ? 'acceptable' : 'poor'; return { current, target, minAcceptable, ratio: ratio.toFixed(2), status }; }; results.samples = eval('samples', samples.length, METRICS.samples.target, METRICS.samples.minAcceptable); results.dailyRate = eval('dailyRate', last24h, METRICS.dailyRate.target, METRICS.dailyRate.minAcceptable); results.sources = eval('sources', sources, METRICS.sources.target, METRICS.sources.minAcceptable); results.quality = eval('quality', quality, METRICS.quality.target, METRICS.quality.minAcceptable); results.efficiency = eval('efficiency', last1h, METRICS.efficiency.target, METRICS.efficiency.minAcceptable); // 综合评分 const weights = METRICS; let totalScore = 0; let totalWeight = 0; Object.keys(weights).forEach(k => { if (weights[k].weight > 0 && results[k]) { const w = weights[k].weight; totalScore += (results[k].ratio >= 1 ? 1 : Math.max(0, results[k].ratio)) * w; totalWeight += w; } }); results.overallScore = ((totalScore / totalWeight) * 100).toFixed(1); results.overallStatus = results.overallScore >= 80 ? 'good' : results.overallScore >= 50 ? 'warning' : 'critical'; return results; } // 权衡决策 function decide(evaluation) { const decisions = []; // 严重偏离 - 需要快速修复 if (evaluation.efficiency.status === 'poor') { decisions.push({ urgency: 'high', action: '优化采集效率', reason: '效率严重不足' }); } // 可接受偏离 - 长期观察 if (evaluation.dailyRate.status === 'acceptable') { decisions.push({ urgency: 'low', action: '持续观察', reason: '日增长率可接受，预计30天达标' }); } // 目标偏离过大 - 调整目标或策略 if (evaluation.overallStatus === 'critical') { decisions.push({ urgency: 'high', action: '重新设计架构', reason: '整体评分过低，需要系统性改进' }); decisions.push({ urgency: 'medium', action: '放宽短期指标', reason: '聚焦长期目标' }); } // 良好状态 - 优化为主 if (evaluation.overallStatus === 'good') { decisions.push({ urgency: 'low', action: '微调优化', reason: '系统运行良好' }); } return decisions; } // 设计建议生成 function generateDesign(evaluation, decisions) { const designs = []; // 基于差距生成设计 if (evaluation.efficiency.ratio < 0.1) { designs.push({ type: 'architecture', priority: 'P0', title: '分布式采集架构', description: '当前效率过低，需要重新设计为多节点分布式采集', changes: ['增加采集器到50+', '引入消息队列', '优化API调用'] }); } if (evaluation.sources.ratio < 0.5) { designs.push({ type: 'expansion', priority: 'P1', title: '多源采集扩展', description: '扩展数据来源', changes: ['接入GitHub API', '接入MCP Market', '接入Skill市场'] }); } if (evaluation.efficiency.ratio < 0.2) { designs.push({ type: 'automation', priority: 'P0', title: '全自动化编排', description: '减少人工干预，自动调度', changes: ['自动扩缩容', '智能故障恢复', '自适应限流'] }); } return designs; } // 主循环 - 长周期评估 async function loop() { log('🎨 Designer 启动 - 系统设计器'); let round = 0; while (true) { round++; log(`\n=== 设计评估轮次 ${round} ===`); const samples = readJson(path.join(DATA_DIR, 'samples.json'), []); const stats = readJson(path.join(DATA_DIR, 'orchestrator-stats.json'), {}); // 评估指标 const evaluation = evaluateMetrics(samples, stats); log(`📊 综合评分: ${evaluation.overallScore}% [${evaluation.overallStatus}]`); log(` 样本: ${evaluation.samples.current}/${evaluation.samples.target} (${evaluation.samples.ratio})`); log(` 日效: ${evaluation.dailyRate.current}/${evaluation.dailyRate.target} (${evaluation.dailyRate.ratio})`); log(` 来源: ${evaluation.sources.current}/${evaluation.sources.target} (${evaluation.sources.ratio})`); log(` 质量: ${evaluation.quality.current.toFixed(1)}%/${evaluation.quality.target}%`); log(` 效率: ${evaluation.efficiency.current}/${evaluation.efficiency.target}/h (${evaluation.efficiency.ratio})`); // 权衡决策 const decisions = decide(evaluation); decisions.forEach(d => { log(` ${d.urgency === 'high' ? '🔴' : d.urgency === 'medium' ? '🟡' : '🟢'} ${d.action}: ${d.reason}`); }); // 生成设计 const designs = generateDesign(evaluation, decisions); if (designs.length > 0) { log(`\n📐 设计建议:`); designs.forEach(d => { log(` [${d.priority}] ${d.title}`); log(` → ${d.description}`); }); } // 保存设计 const designRecord = { round, ts: new Date().toISOString(), evaluation, decisions, designs }; const allDesigns = readJson(DESIGN_FILE, []); allDesigns.push(designRecord); if (allDesigns.length > 50) allDesigns.shift(); writeJson(DESIGN_FILE, allDesigns); // 5分钟评估一次 await new Promise(r => setTimeout(r, 300000)); } } loop(); FILE:agents/evolver/agent.cjs #!/usr/bin/env node /** * 🔄 Evolver Agent - 自我演进优化系统 * * 核心能力: * - 自我评估当前方案 * - 发现差距与问题 * - 自动调整优化 * - 闭环演进 */ const fs = require('fs'), path = require('path'); const DATA_DIR = path.join(__dirname, '..', '..', 'data'); const EVOLUTION_FILE = path.join(DATA_DIR, 'evolution.json'); const CONFIG_FILE = path.join(__dirname, '..', 'config.json'); const TARGETS = { samples: 100000, daily: 10000, sources: 5, quality: 95 }; // 默认配置 let config = { collectors: 10, interval: 8000, keywords: [], sources: ['npm-registry'], strategies: { useRegistryApi: true, useSearch: true, typosquatting: false } }; // 加载配置 function loadConfig() { if (fs.existsSync(CONFIG_FILE)) { try { config = { ...config, ...JSON.parse(fs.readFileSync(CONFIG_FILE, 'utf8')) }; } catch {} } return config; } function saveConfig() { fs.writeFileSync(CONFIG_FILE, JSON.stringify(config, null, 2)); } function log(msg) { console.log(`[EVOLVER] ${msg}`); } function readJson(file, def = []) { if (!fs.existsSync(file)) return def; try { return JSON.parse(fs.readFileSync(file, 'utf8')) } catch { return def; } } // 关键指标收集 function collectMetrics() { const samples = readJson(path.join(DATA_DIR, 'samples.json'), []); const stats = readJson(path.join(DATA_DIR, 'orchestrator-stats.json'), {}); const now = Date.now(); const hour = 3600000; const day = hour * 24; // 增长指标 const last1h = samples.filter(s => now - new Date(s.at).getTime() < hour).length; const last6h = samples.filter(s => now - new Date(s.at).getTime() < hour * 6).length; const last24h = samples.filter(s => now - new Date(s.at).getTime() < day).length; // 来源分析 const sources = {}; samples.forEach(s => { sources[s.source] = (sources[s.source] || 0) + 1; }); // 关键词分析 const keywords = {}; samples.forEach(s => { if (s.keyword) keywords[s.keyword] = (keywords[s.keyword] || 0) + 1; }); const topKeywords = Object.entries(keywords).sort((a, b) => b[1] - a[1]).slice(0, 10); // 效率计算 const efficiency = last24h / 24; // 每小时 const daysToGoal = (TARGETS.samples - samples.length) / last24h; return { total: samples.length, last1h, last6h, last24h, efficiency: efficiency.toFixed(1), daysToGoal: daysToGoal > 0 ? daysToGoal.toFixed(0) : 0, sources: Object.keys(sources).length, sourceDist: sources, topKeywords, progress: (samples.length / TARGETS.samples * 100).toFixed(2) }; } // 差距分析 function analyzeGap(metrics) { const gaps = []; // 目标差距 if (metrics.daysToGoal > 30) { gaps.push({ type: 'speed', severity: 'critical', current: metrics.last24h, target: TARGETS.daily, gap: TARGETS.daily - metrics.last24h }); } // 来源差距 if (metrics.sources < TARGETS.sources) { gaps.push({ type: 'source', severity: 'high', current: metrics.sources, target: TARGETS.sources, gap: TARGETS.sources - metrics.sources }); } // 效率差距 if (parseFloat(metrics.efficiency) < 100) { gaps.push({ type: 'efficiency', severity: 'medium', current: metrics.efficiency, target: 400, gap: 400 - metrics.efficiency }); } return gaps; } // 优化策略生成 function generateStrategy(gaps, metrics) { const strategies = []; gaps.forEach(gap => { switch (gap.type) { case 'speed': if (gap.current < 100) { strategies.push({ action: '增加采集器', param: { collectors: config.collectors + 5 }, reason: '速度严重不足' }); strategies.push({ action: '缩短间隔', param: { interval: Math.max(3000, config.interval - 2000) }, reason: '提高采集频率' }); } break; case 'source': strategies.push({ action: '添加数据源', param: { sources: [...config.sources, 'github', 'mcp-market'] }, reason: '扩展来源' }); break; case 'efficiency': strategies.push({ action: '优化关键词', param: { keywords: getBetterKeywords(metrics) }, reason: '提高命中率' }); break; } }); return strategies; } // 获取更好的关键词 function getBetterKeywords(metrics) { // 分析哪些关键词有效 const effective = metrics.topKeywords.filter(([k, v]) => v > 5).map(([k]) => k); return effective.length > 0 ? effective : config.keywords; } // 执行优化 async function applyStrategy(strategy) { log(`🔧 执行优化: ${strategy.action}`); switch (strategy.action) { case '增加采集器': config.collectors = strategy.param.collectors; // 启动新采集器 for (let i = 0; i < 5; i++) { const { exec } = require('child_process'); exec(`cd ${DATA_DIR}/../../ && AGENT_NAME=collector AGENT_INDEX=${Date.now()+i} node agents/collector/agent.cjs > /dev/null 2>&1 &`); } break; case '缩短间隔': config.interval = strategy.param.interval; break; case '添加数据源': config.sources = strategy.param.sources; break; case '优化关键词': config.keywords = strategy.param.keywords; break; } saveConfig(); return strategy; } // 演进记录 function recordEvolution(metrics, gaps, strategies, applied) { const evolution = readJson(EVOLUTION_FILE, []); evolution.push({ ts: new Date().toISOString(), metrics: { total: metrics.total, last24h: metrics.last24h, efficiency: metrics.efficiency }, gaps: gaps.map(g => g.type), strategies: strategies.map(s => s.action), applied: applied.map(a => a.action), config: { ...config } }); // 只保留最近20条 if (evolution.length > 20) evolution.shift(); fs.writeFileSync(EVOLUTION_FILE, JSON.stringify(evolution, null, 2)); return evolution; } // 主循环 async function loop() { log('🔄 Evolver 启动 - 自我演进系统'); loadConfig(); let round = 0; while (true) { round++; log(`\n=== 演进轮次 ${round} ===`); // 1. 收集指标 const metrics = collectMetrics(); log(`📊 指标: 总数=${metrics.total} 24h=${metrics.last24h} 效率=${metrics.efficiency}/h 来源=${metrics.sources}`); // 2. 差距分析 const gaps = analyzeGap(metrics); if (gaps.length > 0) { log(`⚠️ 差距: ${gaps.map(g => `${g.type}(${g.current}/${g.target})`).join(', ')}`); } // 3. 生成策略 const strategies = generateStrategy(gaps, metrics); if (strategies.length > 0) { log(`💡 策略: ${strategies.map(s => s.action).join(' | ')}`); // 4. 执行策略 const applied = []; for (const strategy of strategies.slice(0, 2)) { // 每次最多应用2个 try { await applyStrategy(strategy); applied.push(strategy); } catch (e) { log(`❌ 执行失败: ${e.message}`); } } // 5. 记录演进 recordEvolution(metrics, gaps, strategies, applied); } else { log('✅ 无需优化，当前状态良好'); } // 6. 评估效果 await new Promise(r => setTimeout(r, 60000)); // 1分钟评估一次 } } loop(); FILE:agents/fast-scanner/agent.cjs #!/usr/bin/env node /** * 🔍 Fast Scanner - 快速安全扫描器 * 优化点: * - 并发扫描 * - 规则优化 * - 增量扫描 */ const fs = require('fs'), path = require('path'), https = require('https'); const AGENT = process.env.AGENT_NAME || 'scanner'; const INDEX = process.env.AGENT_INDEX || 0; const DATA_DIR = path.join(__dirname, '..', '..', 'data'); const SAMPLES = path.join(DATA_DIR, 'samples.json'); const SCANNED = path.join(DATA_DIR, 'scanned.json'); const MALICIOUS = path.join(DATA_DIR, 'malicious.json'); // 恶意关键词规则 const MALICIOUS_PATTERNS = [ 'stealer', 'keylogger', 'miner', 'cryptominer', 'trojan', 'backdoor', 'rat', 'grabber', 'clipper', 'spyware', 'malware', 'injector', 'hook', 'patcher', 'hack', 'cheat', 'exploit', 'payload', 'shell', 'rootkit', 'botnet', 'phishing', 'fake', 'scam', 'spam', 'bot', 'ddos', 'flooder' ]; // 可疑关键词 const SUSPICIOUS_PATTERNS = [ 'ai', 'agent', 'mcp', 'gpt', 'claude', 'openai', 'chatbot', 'automation', 'plugin', 'extension', 'hook', 'proxy', 'wrapper', 'addon', 'tool' ]; function log(m) { console.log(`[${AGENT}-${INDEX}] ${m}`); } function readJson(file, def = []) { if (!fs.existsSync(file)) return def; try { return JSON.parse(fs.readFileSync(file, 'utf8')) } catch { return def; } } function writeJson(file, data) { fs.writeFileSync(file, JSON.stringify(data, null, 2)); } // 扫描单个样本 function scanSample(sample) { const name = (sample.name || '').toLowerCase(); const desc = (sample.description || '').toLowerCase(); const text = name + ' ' + desc; let risk = 'low'; let flags = []; // 恶意检测 for (const p of MALICIOUS_PATTERNS) { if (text.includes(p)) { risk = 'critical'; flags.push(`恶意关键词: ${p}`); break; } } // 可疑检测 if (risk === 'low') { for (const p of SUSPICIOUS_PATTERNS) { if (text.includes(p) && name.length < 10) { risk = 'medium'; flags.push(`可疑: ${p}`); break; } } } return { ...sample, risk, flags, scannedAt: new Date().toISOString() }; } // 批量扫描 async function scan() { const samples = readJson(SAMPLES, []); const scanned = readJson(SCANNED, []); const scannedNames = new Set(scanned.map(s => s.name)); // 未扫描的样本 const todo = samples.filter(s => !scannedNames.has(s.name)).slice(0, 100); if (todo.length === 0) { log('全部扫描完成'); return 0; } const results = todo.map(scanSample); // 保存扫描结果 scanned.push(...results); writeJson(SCANNED, scanned); // 分离恶意样本 const malicious = results.filter(r => r.risk === 'critical'); if (malicious.length > 0) { const allMalicious = readJson(MALICIOUS, []); allMalicious.push(...malicious); writeJson(MALICIOUS, allMalicious); log(`🚨 发现恶意: ${malicious.length}个`); } return results.length; } // 主循环 async function loop() { log('🔍 启动快速扫描器'); while (true) { const count = await scan(); log(`扫描: ${count}个`); await new Promise(r => setTimeout(r, 10000)); } } loop(); FILE:agents/hyper-collector/agent.cjs #!/usr/bin/env node /** * ⚡ Hyper Collector - 极速采集器 * 优化点: * - 并发请求 * - 批量关键词 * - 高效API调用 */ const fs = require('fs'), path = require('path'), https = require('https'); const AGENT = process.env.AGENT_NAME || 'hyper-collector'; const INDEX = process.env.AGENT_INDEX || 0; const TARGET = 100000; const DATA_DIR = path.join(__dirname, '..', '..', 'data'); const SAMPLES = path.join(DATA_DIR, 'samples.json'); const BATCH_SIZE = 50; // 每次批量采集数 // 高频关键词池 const KEYWORDS = [ // AI/LLM 'gpt', 'claude', 'openai', 'langchain', 'llm', 'chatgpt', 'ai', 'agent', 'autogen', 'crewai', // 开发工具 'cursor', 'windsurf', 'vscode', 'vscode-extension', 'plugin', 'ide', 'editor', // 框架 'react', 'vue', 'angular', 'node', 'python', 'typescript', 'javascript', // DevOps 'docker', 'kubernetes', 'k8s', 'terraform', 'ansible', 'ci', 'cd', // 通信 'telegram', 'discord', 'slack', 'whatsapp', 'feishu', 'lark', 'wechat', // MCP/技能 'mcp', 'mcp-server', 'mcp-client', 'skill', 'openplugin', // Web3 'crypto', 'web3', 'ethereum', 'solana', 'bitcoin', 'wallet', 'nft', // 安全 'security', 'audit', 'pentest', 'exploit', 'vulnerability', 'cve', 'scan' ]; function log(m) { console.log(`[${AGENT}-${INDEX}] ${m}`); } function readJson(file, def = []) { if (!fs.existsSync(file)) return def; try { return JSON.parse(fs.readFileSync(file, 'utf8')) } catch { return def; } } function saveBatch(items) { let s = readJson(SAMPLES); let c = 0; for (const pkg of items) { const key = `npm:${pkg.name}`; if (!s.find(x => `npm:${x.name}` === key)) { s.push({ ...pkg, source: 'npm-registry', at: new Date().toISOString() }); c++; } } fs.writeFileSync(SAMPLES, JSON.stringify(s, null, 2)); return c; } // 并发请求 function fetchNpm(keyword) { return new Promise((resolve, reject) => { const url = `https://registry.npmjs.com/-/v1/search?text=${encodeURIComponent(keyword)}&size=30`; https.get(url, { timeout: 8000 }, res => { if (res.statusCode !== 200) return resolve([]); let data = ''; res.on('data', chunk => data += chunk); res.on('end', () => { try { const json = JSON.parse(data); const items = (json.objects || []).map(o => ({ name: o.package.name, version: o.package.version, description: o.package.description, publisher: o.package.publisher?.name })); resolve(items); } catch { resolve([]); } }); }).on('error', () => resolve([])).on('timeout', () => resolve([])); }); } async function collect() { // 随机选5个关键词并发 const batch = []; for (let i = 0; i < 5; i++) { const kw = KEYWORDS[Math.floor(Math.random() * KEYWORDS.length)]; batch.push(fetchNpm(kw)); } const results = await Promise.all(batch); const flat = results.flat(); const saved = saveBatch(flat); return saved; } async function loop() { log(`⚡ 启动批量采集模式`); let round = 0; while (true) { round++; const saved = await collect(); const s = readJson(SAMPLES).length; log(`轮${round}: +${saved} 总:${s}/${TARGET}`); // 随机延迟 2-5秒 await new Promise(r => setTimeout(r, 2000 + Math.random() * 3000)); } } loop(); FILE:agents/orchestrator/agent.cjs #!/usr/bin/env node /** * 🎯 Orchestrator v2 - 总体协调与健康保障 * * 核心职责: * - 启动所有必要角色 * - 监控健康状态 * - 阈值触发研究者 * - 故障自动恢复 */ const fs = require('fs'), path = require('path'), { exec } = require('child_process'); const AGENT_DIR = path.join(__dirname, '..'); const DATA_DIR = path.join(__dirname, '..', 'data'); const LOG_FILE = path.join(__dirname, '..', '..', 'data', 'orchestrator.log'); // 角色配置 const ROLES = { 'ultra-collector': { count: 5, critical: true, restartDelay: 30000 }, 'fast-scanner': { count: 1, critical: true, restartDelay: 60000 }, 'evolver': { count: 1, critical: true, restartDelay: 300000 }, 'designer': { count: 1, critical: false, restartDelay: 300000 }, 'perf-monitor': { count: 1, critical: false, restartDelay: 60000 } }; // 研究触发阈值 const RESEARCH_THRESHOLD = 1000; // 新增1000样本触发研究 let lastResearchCount = 0; let lastSampleCount = 0; function log(msg) { const ts = new Date().toISOString().slice(11, 19); const line = `[${ts}] ${msg}`; console.log(line); fs.appendFileSync(LOG_FILE, line + '\n'); } // 检查进程状态 function checkProcess(name) { return new Promise(resolve => { exec(`pgrep -f "${name}" | wc -l`, (err, out) => { const count = parseInt(out.trim()) || 0; resolve(count); }); }); } // 启动角色 async function startRole(name, index = 0) { return new Promise(resolve => { const cmd = `cd ${__dirname} && AGENT_NAME=${name} AGENT_INDEX=${index} node agents/${name}/agent.cjs > /dev/null 2>&1 &`; exec(cmd); log(`🚀 启动 ${name}-${index}`); setTimeout(resolve, 2000); }); } // 检查并恢复角色 async function checkAndRecover() { log('🔍 健康检查...'); for (const [role, config] of Object.entries(ROLES)) { const running = await checkProcess(role); if (running < config.count) { log(`⚠️ ${role} 运行${running}个，需要${config.count}个`); // 启动缺失的进程 for (let i = running; i < config.count; i++) { await startRole(role, i); } } else { log(`✅ ${role}: ${running}个运行中`); } } } // 检查是否需要触发研究 async function checkResearchTrigger() { const samples = JSON.parse(fs.readFileSync(path.join(DATA_DIR, 'samples.json'), 'utf8')); const currentCount = samples.length; const newSamples = currentCount - lastSampleCount; if (newSamples >= RESEARCH_THRESHOLD && (currentCount - lastResearchCount) >= RESEARCH_THRESHOLD) { log(`📊 触发研究: 新增${newSamples}个样本`); // 启动研究者 const running = await checkProcess('researcher'); if (running === 0) { await startRole('researcher'); lastResearchCount = currentCount; } } lastSampleCount = currentCount; } // 总体状态报告 async function report() { const samples = JSON.parse(fs.readFileSync(path.join(DATA_DIR, 'samples.json'), 'utf8')); const malicious = JSON.parse(fs.readFileSync(path.join(DATA_DIR, 'malicious.json'), 'utf8')); log('========== 状态报告 =========='); log(`📦 样本: ${samples.length}`); log(`🚨 恶意: ${malicious.length}`); for (const [role, config] of Object.entries(ROLES)) { const running = await checkProcess(role); const status = running >= config.count ? '✅' : '❌'; log(`${status} ${role}: ${running}/${config.count}`); } log('================================'); } // 主循环 async function loop() { log('🎯 Orchestrator v2 启动'); // 初始启动所有角色 await checkAndRecover(); let round = 0; while (true) { round++; // 每轮检查健康 await checkAndRecover(); // 检查研究触发 await checkResearchTrigger(); // 每5轮报告状态 if (round % 5 === 0) { await report(); } // 等待30秒 await new Promise(r => setTimeout(r, 30000)); } } loop(); FILE:agents/perf-monitor/agent.cjs #!/usr/bin/env node /** * 📊 Performance Monitor - 性能监控与统计 * 统计各数据源的拉取极限和超时 */ const fs = require('fs'), path = require('path'); const DATA_DIR = path.join(__dirname, '..', '..', 'data'); const STATS_FILE = path.join(DATA_DIR, 'perf-stats.json'); const MARKETS = { 'npm': { name: 'npm', baseUrl: 'registry.npmjs.com', timeout: 5000 }, 'cnpm': { name: 'cnpm', baseUrl: 'registry.npmmirror.com', timeout: 5000 }, 'github': { name: 'GitHub', baseUrl: 'api.github.com', timeout: 10000 }, 'mcp': { name: 'MCP Market', baseUrl: 'mcpmarket.com', timeout: 8000 } }; let stats = { markets: {}, updates: 0, started: new Date().toISOString() }; // 初始化各市场统计 Object.keys(MARKETS).forEach(k => { stats.markets[k] = { name: MARKETS[k].name, requests: 0, success: 0, failed: 0, timeouts: 0, totalTime: 0, avgTime: 0, maxTime: 0, minTime: 99999, rate: 0, // 每分钟请求数 lastUpdate: null }; }); function save() { fs.writeFileSync(STATS_FILE, JSON.stringify(stats, null, 2)); } function log(msg) { console.log(`[PERF] ${msg}`); } // 记录请求结果 function record(market, success, timeMs, isTimeout = false) { if (!stats.markets[market]) return; const m = stats.markets[market]; m.requests++; m.totalTime += timeMs; m.maxTime = Math.max(m.maxTime, timeMs); m.minTime = Math.min(m.minTime, timeMs); m.avgTime = m.totalTime / m.requests; m.lastUpdate = new Date().toISOString(); if (success) m.success++; else { m.failed++; if (isTimeout) m.timeouts++; } // 计算速率 (每分钟) const elapsed = (Date.now() - new Date(stats.started).getTime()) / 60000; m.rate = Math.round(m.requests / elapsed); stats.updates++; if (stats.updates % 10 === 0) save(); } // 获取统计 function getStats() { return stats; } // 资源检查 function checkResources() { const os = require('os'); const cpuLoad = os.loadavg()[0] / os.cpus().length; const memUsed = 1 - os.freemem() / os.totalmem(); return { cpuLoad: (cpuLoad * 100).toFixed(1), memUsed: (memUsed * 100).toFixed(1), memFree: (os.freemem() / 1024 / 1024 / 1024).toFixed(1) + 'GB', cpuCores: os.cpus().length }; } // 主循环 - 每10秒检查一次 async function loop() { log('📊 Performance Monitor 启动'); setInterval(() => { const res = checkResources(); log(`资源: CPU负载 ${res.cpuLoad}% | 内存 ${res.memUsed}% | 空闲 ${res.memFree}`); // 内存不足时警告 if (parseFloat(res.memUsed) > 80) { log('⚠️ 内存使用超过80%'); } if (parseFloat(res.cpuLoad) > 80) { log('⚠️ CPU负载超过80%'); } }, 10000); // 保存初始状态 save(); } module.exports = { record, getStats, checkResources, MARKETS }; loop(); FILE:agents/researcher/agent.cjs #!/usr/bin/env node const {exec} = require('child_process'); const AGENT = 'researcher'; function log(m){console.log(`[${AGENT}] ${m}`);} function wait(ms){return new Promise(r=>setTimeout(r,ms));} async function research(){ try{ await new Promise((r,e)=>exec('~/aass-scripts/daily_intel.sh 2>&1',{timeout:600000},(ex,out)=>ex?e(ex):r(out))); log('研究完成'); }catch(e){log('err:'+e.message);} } async function loop(){ log('启动'); while(true){ await research(); await wait(3600000+Math.random()*1800000); } } loop(); FILE:agents/scanner/agent.cjs #!/usr/bin/env node const {exec} = require('child_process'); const AGENT = process.env.AGENT_NAME || 'scanner'; const INDEX = process.env.AGENT_INDEX || 0; function log(m){console.log(`[${AGENT}-${INDEX}] ${m}`);} function wait(ms){return new Promise(r=>setTimeout(r,ms));} async function scan(){ try{ await new Promise((r,e)=>exec('~/aass-dataset/secure_dataset.sh scan 2>&1',{timeout:180000},(ex,out)=>ex?e(ex):r(out))); log('扫描完成'); }catch(e){log('err:'+e.message);} } async function loop(){ log('启动'); while(true){ await scan(); await wait(300000+Math.random()*120000); } } loop(); FILE:agents/ultra-collector/agent.cjs #!/usr/bin/env node /** * 🚀 Ultra Collector v2 - 带性能统计 * 优化: 减少进程、添加统计、适配不同市场 */ const fs = require('fs'), path = require('path'), https = require('https'), http = require('http'); const AGENT = process.env.AGENT_NAME || 'ultra'; const INDEX = process.env.AGENT_INDEX || 0; const DATA = path.join(__dirname, '..', '..', 'data'); const SAMPLES = path.join(DATA, 'samples.json'); const PERF_FILE = path.join(DATA, 'perf-stats.json'); // 市场配置与极限 const MARKETS = { 'npm': { name: 'npm', baseUrl: 'registry.npmjs.com', timeout: 5000, rateLimit: 100, // 每分钟 recommended: 3 // 推荐并发数 }, 'cnpm': { name: 'cnpm', baseUrl: 'registry.npmmirror.com', timeout: 5000, rateLimit: 150, recommended: 4 } }; // 高频关键词 const KEYWORDS = [ 'gpt', 'claude', 'openai', 'langchain', 'llm', 'ai', 'agent', 'chatgpt', 'cursor', 'windsurf', 'vscode', 'plugin', 'ide', 'extension', 'react', 'vue', 'angular', 'node', 'python', 'typescript', 'docker', 'kubernetes', 'k8s', 'terraform', 'telegram', 'discord', 'slack', 'feishu', 'lark', 'mcp', 'mcp-server', 'skill', 'crypto', 'web3', 'ethereum', 'wallet', 'security', 'audit', 'pentest', 'cve' ]; function log(m) { console.log(`[${AGENT}-${INDEX}] ${m}`); } function readJson(f, def = []) { if (!fs.existsSync(f)) return def; try { return JSON.parse(fs.readFileSync(f, 'utf8')) } catch { return def; } } function save(items) { if (!items.length) return 0; let s = readJson(SAMPLES); let c = 0; for (const pkg of items) { const key = `npm:${pkg.name}`; if (!s.find(x => `npm:${x.name}` === key)) { s.push({ ...pkg, source: pkg._source || 'npm', at: new Date().toISOString() }); c++; } } fs.writeFileSync(SAMPLES, JSON.stringify(s, null, 2)); return c; } function savePerf(market, success, timeMs, isTimeout) { let perf = readJson(PERF_FILE, { markets: {} }); if (!perf.markets[market]) { perf.markets[market] = { requests: 0, success: 0, failed: 0, timeouts: 0, totalTime: 0, avgTime: 0 }; } const m = perf.markets[market]; m.requests++; m.totalTime += timeMs; m.avgTime = m.totalTime / m.requests; if (success) m.success++; else { m.failed++; if (isTimeout) m.timeouts++; } fs.writeFileSync(PERF_FILE, JSON.stringify(perf, null, 2)); } function fetch(url, source) { const startTime = Date.now(); return new Promise(resolve => { const proto = url.startsWith('https') ? https : http; const req = proto.get(url, { timeout: 5000 }, res => { const timeMs = Date.now() - startTime; if (res.statusCode !== 200) { savePerf(source, false, timeMs, false); resolve([]); return; } let data = ''; res.on('data', c => data += c); res.on('end', () => { try { const json = JSON.parse(data); const items = (json.objects || []).map(o => ({ name: o.package?.name, version: o.package?.version, description: o.package?.description, publisher: o.package?.publisher?.name, _source: source })).filter(x => x.name); savePerf(source, true, timeMs, false); resolve(items); } catch { savePerf(source, false, timeMs, false); resolve([]); } }); }); req.on('error', () => { savePerf(source, false, Date.now() - startTime, false); resolve([]); }); req.on('timeout', () => { req.destroy(); savePerf(source, false, 5000, true); resolve([]); }); }); } async function collect() { // 80% cnpm, 20% npm (根据性能指标) const market = Math.random() < 0.8 ? 'cnpm' : 'npm'; const cfg = MARKETS[market]; const kw = KEYWORDS[Math.floor(Math.random() * KEYWORDS.length)]; const url = `https://${cfg.baseUrl}/-/v1/search?text=${encodeURIComponent(kw)}&size=30`; const items = await fetch(url, market); const saved = save(items); return saved; } async function loop() { log('🚀 Ultra v2 启动'); while (true) { const saved = await collect(); const total = readJson(SAMPLES).length; log(`+${saved} 总:${total}`); // 延迟 2-3秒 (平衡速度与资源) await new Promise(r => setTimeout(r, 2000 + Math.random() * 1000)); } } loop(); FILE:bin/agent-manager.cjs #!/usr/bin/env node const fs = require('fs'); const path = require('path'); const { spawn, execSync } = require('child_process'); const BASE = path.join(__dirname, '..'); const DATA = path.join(BASE, 'data'); const AGENTS_DIR = path.join(BASE, 'agents'); const KEYWORDS_POOL = [ ['openclaw','claude','gpt','agent','autogpt','langchain'], ['npm','pypi','pip','maven','composer','ruby'], ['vscode','cursor','sublime','vim','idea','webstorm'], ['docker','kubernetes','helm','terraform','ansible'], ['minecraft','mod','curseforge','fivem','roblox'], ['zapier','n8n','make','ifttt','apps-script'], ['chrome-extension','adblock','tampermonkey','ublock'], ['github-actions','gitlab-ci','jenkins','circleci'], ['airtable','retool','bubble','glide','nocodb'], ['react-native','flutter','cordova','ionic','uniapp'], ['crypto','wallet','nft','defi','ethereum','solana'], ['telegram','discord','slack','whatsapp','wechat'], ['notion','obsidian','evernote','trello','asana'], ['database','sql','mysql','postgresql','mongodb'], ['aws','azure','gcp','cloud','s3','lambda'], ['base-agent','system-updater','openclaw-core','polymarket','weather-assistant'] ]; const AGENTS = { collector: { name: '采集器', script: path.join(AGENTS_DIR, 'collector', 'agent.cjs'), instances: 15 }, scanner: { name: '扫描器', script: path.join(AGENTS_DIR, 'scanner', 'agent.cjs'), instances: 2 }, analyzer: { name: '分析器', script: path.join(AGENTS_DIR, 'analyzer', 'agent.cjs'), instances: 1 }, researcher: { name: '研究员', script: path.join(AGENTS_DIR, 'researcher', 'agent.cjs'), instances: 1 } }; function getResources() { try { const mem = execSync("free | grep Mem | awk '{print int($3/$2*100)}'").toString().trim(); const cpu = execSync("uptime | awk -F'load average:' '{print $2}' | awk '{print int($1)}'").toString().trim(); const cores = execSync('nproc').toString().trim(); return { mem: parseInt(mem), cpu: parseInt(cpu) / parseInt(cores) * 100 }; } catch { return { mem: 50, cpu: 50 }; } } function log(m){ console.log(`[${new Date().toISOString().slice(11,19)}] ${m}`); } async function startAgent(name, config, idx) { const pidFile = path.join(DATA, `${name}-${idx}.pid`); try { process.kill(fs.readFileSync(pidFile, 'utf8').trim(), 0); return; } catch {} const keywords = KEYWORDS_POOL[idx % KEYWORDS_POOL.length]; const env = { ...process.env, AGENT_NAME: name, AGENT_INDEX: idx, AGENT_KEYWORDS: JSON.stringify(keywords) }; const child = spawn('node', [config.script], { env, detached: false, stdio: ['ignore', 'pipe', 'pipe'] }); child.stdout.on('data', d => process.stdout.write(`[${name}-${idx}] ${d}`)); child.stderr.on('data', d => process.stderr.write(`[${name}-${idx}] ${d}`)); fs.writeFileSync(pidFile, child.pid.toString()); log(`启动 ${name}-${idx} PID:${child.pid}`); } async function startAll() { log('=== 启动多智能体系统 (15采集器) ==='); if (!fs.existsSync(DATA)) fs.mkdirSync(DATA, { recursive: true }); const res = getResources(); log(`当前资源: CPU:${res.cpu.toFixed(0)}% 内存:${res.mem}%`); if (res.cpu < 70 && res.mem < 70) { log('资源充足，增加到15个采集器'); AGENTS.collector.instances = 15; } for (const [name, config] of Object.entries(AGENTS)) { log(`启动 ${config.name} x${config.instances}`); for (let i = 0; i < config.instances; i++) await startAgent(name, config, i); } log('=== 全部启动完成 ==='); } async function stopAll() { log('=== 停止智能体 ==='); for (const [name, config] of Object.entries(AGENTS)) { for (let i = 0; i < 20; i++) { const pidFile = path.join(DATA, `${name}-${i}.pid`); try { process.kill(parseInt(fs.readFileSync(pidFile, 'utf8'))); } catch {} try { fs.unlinkSync(pidFile); } catch {} } } } async function status() { log('=== 智能体状态 ==='); const res = getResources(); console.log(`CPU: ${res.cpu.toFixed(0)}% 内存: ${res.mem}%`); let total = 0; for (const [name, config] of Object.entries(AGENTS)) { let running = 0; for (let i = 0; i < config.instances; i++) { const pidFile = path.join(DATA, `${name}-${i}.pid`); try { const pid = fs.readFileSync(pidFile, 'utf8').trim(); process.kill(pid, 0); running++; total++; } catch {} } console.log(`${config.name}: ${running}/${config.instances}`); } console.log(`总计: ${total} 进程`); } const cmd = process.argv[2]; if (cmd === 'start') startAll(); else if (cmd === 'stop') stopAll(); else if (cmd === 'status') status(); else console.log('用法: start|stop|status'); FILE:data/design.json [ { "round": 1, "ts": "2026-02-28T23:31:16.786Z", "evaluation": { "samples": { "current": 1363, "target": 100000, "minAcceptable": 10000, "ratio": "0.01", "status": "poor" }, "dailyRate": { "current": 1363, "target": 10000, "minAcceptable": 1000, "ratio": "0.14", "status": "acceptable" }, "sources": { "current": 1, "target": 5, "minAcceptable": 2, "ratio": "0.20", "status": "poor" }, "quality": { "current": 100, "target": 95, "minAcceptable": 80, "ratio": "1.05", "status": "excellent" }, "efficiency": { "current": 1363, "target": 500, "minAcceptable": 50, "ratio": "2.73", "status": "excellent" }, "overallScore": "36.8", "overallStatus": "critical" }, "decisions": [ { "urgency": "low", "action": "持续观察", "reason": "日增长率可接受，预计30天达标" }, { "urgency": "high", "action": "重新设计架构", "reason": "整体评分过低，需要系统性改进" }, { "urgency": "medium", "action": "放宽短期指标", "reason": "聚焦长期目标" } ], "designs": [ { "type": "expansion", "priority": "P1", "title": "多源采集扩展", "description": "扩展数据来源", "changes": [ "接入GitHub API", "接入MCP Market", "接入Skill市场" ] } ] } ] FILE:data/orchestrator-stats.json { "updated": "2026-02-28T23:13:25.809Z", "stats": { "total": 74, "last1h": 74, "last24h": 74, "sources": { "npm-registry": 74 }, "topKeywords": [ [ "langchain-cli", 30 ], [ "@mcp-server", 29 ], [ "extension", 15 ] ], "suspicious": 0, "progress": "0.07" }, "health": { "issues": [ "采集效率低 (1小时<100)", "数据来源单一" ], "suggestions": [ "检查API限流或关键词质量", "扩展采集来源 (GitHub, MCP Market等)" ], "score": 60 }, "recs": [ { "priority": "high", "action": "增加采集器数量", "reason": "进度过慢" }, { "priority": "medium", "action": "预计1350天达到目标", "reason": "进度预测" } ], "processes": 5 } FILE:data/perf-stats.json { "markets": { "cnpm": { "requests": 1528, "success": 1524, "failed": 4, "timeouts": 0, "totalTime": 189690, "avgTime": 124.14267015706807 }, "npm": { "requests": 374, "success": 369, "failed": 5, "timeouts": 5, "totalTime": 381449, "avgTime": 1019.9171122994652 } } } FILE:data/samples.json [ { "name": "resolve-from", "version": "5.0.0", "source": "npm", "keyword": "pentest-js", "agent": "collector", "index": "11", "at": "2026-03-08T05:50:40.913Z" }, { "name": "json-buffer", "version": "3.0.1", "source": "npm", "keyword": "pentest-js", "agent": "collector", "index": "11", "at": "2026-03-08T05:50:40.913Z" }, { "name": "esrecurse", "version": "4.3.0", "source": "npm", "keyword": "pentest-js", "agent": "collector", "index": "11", "at": "2026-03-08T05:50:40.914Z" }, { "name": "@attackforge/reportgen-cli", "version": "2.15.5", "source": "npm", "keyword": "pentest-js", "agent": "collector", "index": "11", "at": "2026-03-08T05:50:40.914Z" }, { "name": "delayed-stream", "version": "1.0.0", "source": "npm", "keyword": "pentest-js", "agent": "collector", "index": "11", "at": "2026-03-08T05:50:40.914Z" }, { "name": "fast-json-stable-stringify", "version": "2.1.0", "source": "npm", "keyword": "pentest-js", "agent": "collector", "index": "11", "at": "2026-03-08T05:50:40.915Z" }, { "name": "setprototypeof", "version": "1.2.0", "source": "npm", "keyword": "pentest-js", "agent": "collector", "index": "11", "at": "2026-03-08T05:50:40.916Z" }, { "name": "levn", "version": "0.4.1", "source": "npm", "keyword": "pentest-js", "agent": "collector", "index": "11", "at": "2026-03-08T05:50:40.916Z" }, { "name": "obsidian-cli", "version": "0.5.1", "source": "npm-registry", "keyword": "obsidian-cli", "domain": "npmjs.com", "agent": "collector", "index": "5", "at": "2026-03-08T05:50:41.607Z" }, { "name": "obsidian-cli-mcp", "version": "0.0.5", "description": "A [Model Context Protocol](https://modelcontextprotocol.io) server that wraps the [Obsidian CLI](https://help.obsidian.md/cli), allowing AI assistants like Claude to execute Obsidian CLI commands.", "source": "npm-registry", "keyword": "obsidian-cli", "domain": "npmjs.com", "agent": "collector", "index": "5", "at": "2026-03-08T05:50:41.608Z" }, { "name": "@shard-for-obsidian/cli", "version": "0.4.4", "description": "Shard CLI tool to push and pull plugins from GHCR", "source": "npm-registry", "keyword": 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Aagent System

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