fix: 修复 arXiv 和 HuggingFace 采集

- arXiv: 改用 curl 子进程支持代理，使用 lastUpdatedDate 排序 + 代码过滤 48 小时内论文
- HuggingFace: 修正 API 端点为 /api/daily_papers（下划线）
- 优化 HTTP 请求封装，稳定支持代理环境

HUGGINGFACE_API_ISSUE.md

@@ -0,0 +1,83 @@
+# HuggingFace API问题分析
+
+## 问题诊断
+
+**错误信息：**
+```
+HTTP/2 401
+x-error-message: Invalid username or password.
+{"error":"Invalid username or password."}
+```
+
+**原因：**
+HuggingFace的 `/api/daily-papers` 端点需要认证才能访问。
+
+## 解决方案
+
+### 方案1：获取HuggingFace API Token（推荐）
+
+1. **注册/登录HuggingFace账号**
+   - 访问：https://huggingface.co/join
+   - 或登录：https://huggingface.co/login
+
+2. **获取Access Token**
+   - 访问：https://huggingface.co/settings/tokens
+   - 点击 "Create new token"
+   - 选择 "Read" 权限
+   - 复制生成的token
+
+3. **配置到采集脚本**
+   - 在collect.js中添加认证头：
+     ```javascript
+     const headers = {
+       'Authorization': `Bearer ${process.env.HF_TOKEN || 'YOUR_TOKEN_HERE'}`
+     };
+     ```
+
+4. **设置环境变量**
+   ```bash
+   export HF_TOKEN="hf_xxxxxxxxxxxx"
+   ```
+
+### 方案2：使用HuggingFace Hub库（Python）
+
+```python
+from huggingface_hub import HfApi
+
+api = HfApi()
+papers = api.list_papers(limit=30)
+```
+
+### 方案3：暂时禁用HuggingFace源
+
+在 `config.json` 中：
+```json
+{
+  "sources": {
+    "huggingface": {
+      "enabled": false
+    }
+  }
+}
+```
+
+## API文档
+
+- 官方API文档：https://huggingface.co/docs/hub/api
+- OpenAPI规范：https://huggingface.co/.well-known/openapi.json
+- 速率限制：所有API调用都受速率限制
+
+## 当前状态
+
+- ✅ GitHub Trending：正常工作
+- ❌ HuggingFace Papers：需要认证
+- ⚠️ arXiv：需要检查
+
+## 建议
+
+1. **短期**：暂时禁用HuggingFace源，只使用GitHub
+2. **长期**：注册HuggingFace账号并获取token，启用认证访问
+
+---
+
+*诊断时间: 2026-02-25*

README.md

@@ -1,35 +1,78 @@
 # AI News Collector
 
-自动收集并整理 AI 圈最新消息的 Agent。
+自动采集AI相关新闻和趋势的工具。
 
 ## 功能
 
-- 从 arXiv、Hugging Face Papers、GitHub Trending、技术博客采集信息
+- 📡 多源采集：arXiv、HuggingFace Papers、GitHub Trending
-- 基于话题关键词筛选和排序
+- 🔄 智能去重：避免重复内容
-- 生成每日简报 (.md)
+- 📊 权重排序：根据来源和关键词匹配度排序
-- 推送至飞书
+- 📝 简报生成：自动生成Markdown格式简报
 
-## 话题配置
+## 配置
 
-- AI 编程工具 / Code Agent
+### 代理设置
-- Agent 框架
-- AI 基础设施 / 推理优化
 
-## 调度
+工具支持HTTP/HTTPS代理，用于访问国外数据源。
-
-- 23:00 收集任务
-- 09:00 推送任务
-
-## 目录结构
 
+**方式1：环境变量**
+```bash
+export HTTP_PROXY=http://127.0.0.1:7890
+export HTTPS_PROXY=http://127.0.0.1:7890
 ```
-AINewsCollector/
+
-├── config.yaml          # 话题配置
+**方式2：修改代码**
-├── daily/               # 日期归档
+在 `skill/ai-news-collector/collect.js` 中修改 `PROXY_HOST` 常量：
-├── cache/               # 去重缓存
+```javascript
-└── skill/               # OpenClaw Skill
+const PROXY_HOST = 'http://127.0.0.1:7890';
 ```
 
+### 数据源配置
+
+编辑 `config.json` 文件：
+
+```json
+{
+  "topics": [...],  // 主题关键词
+  "sources": {
+    "arxiv": { "enabled": true, ... },
+    "huggingface": { "enabled": true, ... },
+    "github": { "enabled": true, ... }
+  }
+}
+```
+
+## 使用
+
+### 手动采集
+```bash
+cd /Users/chenbj/home/workspace/OpenclawSpace/AINewsCollector
+node skill/ai-news-collector/collect.js
+```
+
+### 定时采集
+已配置cron job，每天自动采集两次：
+- 09:00 - 每日推送
+- 23:00 - 每日采集
+
+## 输出
+
+生成的简报保存在 `daily/` 目录：
+- 文件名格式：`YYYY-MM-DD.md`
+- 内容包括：Top 10重要消息、分类汇总
+
+## 故障排查
+
+### 采集为0条
+1. 检查网络连接
+2. 确认代理配置正确
+3. 查看错误日志输出
+
+### 代理配置
+如果访问HuggingFace或GitHub超时，需要配置代理：
+- 代理地址：`http://127.0.0.1:7890`
+- 支持HTTP和HTTPS协议
+
 ---
 
-创建日期：2026-02-22
+*更新时间: 2026-02-24*

cache/seen_urls.json

@@ -1,4 +1,136 @@
 {
-  "lastUpdate": "2026-02-22T16:15:49.916Z",
+  "lastUpdate": "2026-02-27T15:33:33.096Z",
-  "urls": []
+  "urls": [
+    "http://arxiv.org/abs/2602.23360v1",
+    "http://arxiv.org/abs/2602.23359v1",
+    "http://arxiv.org/abs/2602.23353v1",
+    "http://arxiv.org/abs/2602.23349v1",
+    "http://arxiv.org/abs/2602.23335v1",
+    "http://arxiv.org/abs/2602.23334v1",
+    "http://arxiv.org/abs/2602.23331v1",
+    "http://arxiv.org/abs/2602.23330v1",
+    "http://arxiv.org/abs/2602.23329v1",
+    "http://arxiv.org/abs/2602.23318v1",
+    "http://arxiv.org/abs/2602.23315v1",
+    "http://arxiv.org/abs/2602.23312v1",
+    "http://arxiv.org/abs/2602.23302v1",
+    "http://arxiv.org/abs/2602.23296v1",
+    "http://arxiv.org/abs/2602.23286v1",
+    "http://arxiv.org/abs/2602.23285v1",
+    "http://arxiv.org/abs/2602.23276v1",
+    "http://arxiv.org/abs/2602.23271v1",
+    "http://arxiv.org/abs/2602.23259v1",
+    "http://arxiv.org/abs/2602.23258v1",
+    "http://arxiv.org/abs/2602.23248v1",
+    "http://arxiv.org/abs/2602.23242v1",
+    "http://arxiv.org/abs/2602.23239v1",
+    "http://arxiv.org/abs/2602.23235v1",
+    "http://arxiv.org/abs/2602.23234v1",
+    "http://arxiv.org/abs/2602.23232v1",
+    "http://arxiv.org/abs/2602.23228v1",
+    "http://arxiv.org/abs/2602.23225v1",
+    "http://arxiv.org/abs/2602.23203v1",
+    "http://arxiv.org/abs/2602.23199v1",
+    "http://arxiv.org/abs/2602.23193v1",
+    "http://arxiv.org/abs/2602.23172v1",
+    "http://arxiv.org/abs/2602.23163v1",
+    "http://arxiv.org/abs/2602.23161v1",
+    "http://arxiv.org/abs/2602.23153v1",
+    "http://arxiv.org/abs/2602.23152v1",
+    "http://arxiv.org/abs/2602.23351v1",
+    "http://arxiv.org/abs/2602.23300v1",
+    "http://arxiv.org/abs/2602.23266v1",
+    "http://arxiv.org/abs/2602.23200v1",
+    "http://arxiv.org/abs/2602.23197v1",
+    "http://arxiv.org/abs/2602.23184v1",
+    "http://arxiv.org/abs/2602.23136v1",
+    "http://arxiv.org/abs/2602.23079v1",
+    "http://arxiv.org/abs/2602.23075v1",
+    "http://arxiv.org/abs/2602.23071v1",
+    "http://arxiv.org/abs/2602.23070v1",
+    "http://arxiv.org/abs/2602.23062v1",
+    "http://arxiv.org/abs/2602.23061v1",
+    "http://arxiv.org/abs/2602.23057v1",
+    "http://arxiv.org/abs/2602.22958v1",
+    "http://arxiv.org/abs/2602.22918v1",
+    "http://arxiv.org/abs/2602.22911v1",
+    "http://arxiv.org/abs/2602.22897v1",
+    "http://arxiv.org/abs/2602.22871v1",
+    "http://arxiv.org/abs/2602.22868v1",
+    "http://arxiv.org/abs/2602.22865v1",
+    "http://arxiv.org/abs/2602.22846v1",
+    "http://arxiv.org/abs/2602.22831v1",
+    "http://arxiv.org/abs/2602.22828v1",
+    "http://arxiv.org/abs/2602.23358v1",
+    "http://arxiv.org/abs/2602.23341v1",
+    "http://arxiv.org/abs/2602.23336v1",
+    "http://arxiv.org/abs/2602.23321v1",
+    "http://arxiv.org/abs/2602.23320v1",
+    "http://arxiv.org/abs/2602.23305v1",
+    "http://arxiv.org/abs/2602.23303v1",
+    "http://arxiv.org/abs/2602.23295v1",
+    "http://arxiv.org/abs/2602.23280v1",
+    "http://arxiv.org/abs/2602.23277v1",
+    "http://arxiv.org/abs/2602.23219v1",
+    "http://arxiv.org/abs/2602.23214v1",
+    "http://arxiv.org/abs/2602.23201v1",
+    "http://arxiv.org/abs/2602.23192v1",
+    "http://arxiv.org/abs/2602.23188v1",
+    "http://arxiv.org/abs/2602.23182v1",
+    "http://arxiv.org/abs/2602.23179v1",
+    "http://arxiv.org/abs/2602.23167v1",
+    "http://arxiv.org/abs/2602.23164v1",
+    "http://arxiv.org/abs/2602.23159v1",
+    "http://arxiv.org/abs/2602.23146v1",
+    "http://arxiv.org/abs/2602.23142v1",
+    "http://arxiv.org/abs/2602.23135v1",
+    "http://arxiv.org/abs/2602.23132v1",
+    "http://arxiv.org/abs/2602.23128v1",
+    "https://huggingface.co/papers/2602.23339",
+    "https://huggingface.co/papers/2602.20332",
+    "https://huggingface.co/papers/2602.20300",
+    "https://huggingface.co/papers/2602.18253",
+    "https://huggingface.co/papers/2602.22045",
+    "https://huggingface.co/papers/2602.22638",
+    "https://huggingface.co/papers/2602.20981",
+    "https://huggingface.co/papers/2602.23205",
+    "https://huggingface.co/papers/2602.23363",
+    "https://huggingface.co/papers/2602.22675",
+    "https://huggingface.co/papers/2602.23258",
+    "https://huggingface.co/papers/2602.22859",
+    "https://huggingface.co/papers/2602.21760",
+    "https://huggingface.co/papers/2602.22479",
+    "https://huggingface.co/papers/2602.17594",
+    "https://huggingface.co/papers/2602.23008",
+    "https://huggingface.co/papers/2602.22766",
+    "https://huggingface.co/papers/2602.22594",
+    "https://huggingface.co/papers/2602.22437",
+    "https://huggingface.co/papers/2602.23058",
+    "https://huggingface.co/papers/2602.22897",
+    "https://huggingface.co/papers/2602.23165",
+    "https://huggingface.co/papers/2602.23152",
+    "https://huggingface.co/papers/2602.23259",
+    "https://huggingface.co/papers/2602.19424",
+    "https://huggingface.co/papers/2602.20933",
+    "https://huggingface.co/papers/2602.21456",
+    "https://huggingface.co/papers/2602.21374",
+    "https://huggingface.co/papers/2602.16729",
+    "https://huggingface.co/papers/2602.20273",
+    "https://github.com/login?return_to=%2fruvnet%2fwifi-densepose",
+    "https://github.com/login?return_to=%2fbytedance%2fdeer-flow",
+    "https://github.com/login?return_to=%2fmoonshine-ai%2fmoonshine",
+    "https://github.com/sponsors/muratcankoylan",
+    "https://github.com/sponsors/obra",
+    "https://github.com/login?return_to=%2fruvnet%2fclaude-flow",
+    "https://github.com/login?return_to=%2fdatawhalechina%2fhello-agents",
+    "https://github.com/sponsors/abhigyanpatwari",
+    "https://github.com/login?return_to=%2fmoeru-ai%2fairi",
+    "https://github.com/login?return_to=%2fanthropics%2fclaude-code",
+    "https://github.com/login?return_to=%2fruvnet%2fruvector",
+    "https://github.com/login?return_to=%2fwei-shaw%2fclaude-relay-service",
+    "https://github.com/login?return_to=%2ftukaani-project%2fxz",
+    "https://github.com/sponsors/d4vinci",
+    "https://github.com/sponsors/steipete",
+    "https://github.com/login?return_to=%2falibaba%2fopensandbox"
+  ]
 }

daily/2026-02-27.md

@@ -0,0 +1,57 @@
+# AI Daily Brief - 2026-02-27
+
+> 采集时间: 2026/2/27 23:33:33
+> 总条目: 131
+
+## 🔥 Top 10 重要消息
+
+1. [sponsors/muratcankoylan](https://github.com/sponsors/muratcankoylan) - **GitHub Trending**
+   > A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimi...
+
+2. [login?return_to=%2Fruvnet%2Fclaude-flow](https://github.com/login?return_to=%2Fruvnet%2Fclaude-flow) - **GitHub Trending**
+   > 🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversation...
+
+3. [Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and Generalization](https://huggingface.co/papers/2602.22675) - **Hugging Face**
+   > Recent deep research agents primarily improve performance by scaling reasoning depth, but this leads to high inference cost and latency in search-inte...
+
+4. [AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning](https://huggingface.co/papers/2602.23258) - **Hugging Face**
+   > While Multi-Agent Systems (MAS) excel in complex reasoning, they suffer from the cascading impact of erroneous information generated by individual par...
+
+5. [Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling](https://huggingface.co/papers/2602.21760) - **Hugging Face**
+   > Diffusion models have achieved remarkable progress in high-fidelity image, video, and audio generation, yet inference remains computationally expensiv...
+
+6. [Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization](https://huggingface.co/papers/2602.23008) - **Hugging Face**
+   > Exploration remains the key bottleneck for large language model agents trained with reinforcement learning. While prior methods exploit pretrained kno...
+
+7. [login?return_to=%2Fruvnet%2Fwifi-densepose](https://github.com/login?return_to=%2Fruvnet%2Fwifi-densepose) - **GitHub Trending**
+   > Production-ready implementation of InvisPose - a revolutionary WiFi-based dense human pose estimation system that enables real-time full-body tracking...
+
+8. [login?return_to=%2Fbytedance%2Fdeer-flow](https://github.com/login?return_to=%2Fbytedance%2Fdeer-flow) - **GitHub Trending**
+   > An open-source SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skills and subagents, it handles d...
+
+9. [login?return_to=%2Fmoonshine-ai%2Fmoonshine](https://github.com/login?return_to=%2Fmoonshine-ai%2Fmoonshine) - **GitHub Trending**
+   > Fast and accurate automatic speech recognition (ASR) for edge devices
+
+10. [sponsors/obra](https://github.com/sponsors/obra) - **GitHub Trending**
+   > An agentic skills framework & software development methodology that works.
+
+## 📂 分类汇总
+
+### Agent 框架
+
+- [Toward Expert Investment Teams:A Multi-Agent LLM System with Fine-Grained Trading Tasks](http://arxiv.org/abs/2602.23330v1) - arXiv
+- [AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning](http://arxiv.org/abs/2602.23258v1) - arXiv
+
+### AI 基础设施 / 推理优化
+
+- [Bitwise Systolic Array Architecture for Runtime-Reconfigurable Multi-precision Quantized Multiplication on Hardware Accelerators](http://arxiv.org/abs/2602.23334v1) - arXiv
+- [Invariant Transformation and Resampling based Epistemic-Uncertainty Reduction](http://arxiv.org/abs/2602.23315v1) - arXiv
+- [Agency and Architectural Limits: Why Optimization-Based Systems Cannot Be Norm-Responsive](http://arxiv.org/abs/2602.23239v1) - arXiv
+- [InnerQ: Hardware-aware Tuning-free Quantization of KV Cache for Large Language Models](http://arxiv.org/abs/2602.23200v1) - arXiv
+- [Assessing Deanonymization Risks with Stylometry-Assisted LLM Agent](http://arxiv.org/abs/2602.23079v1) - arXiv
+- [Rejection Mixing: Fast Semantic Propagation of Mask Tokens for Efficient DLLM Inference](http://arxiv.org/abs/2602.22868v1) - arXiv
+- [Differentiable Zero-One Loss via Hypersimplex Projections](http://arxiv.org/abs/2602.23336v1) - arXiv
+- [FairQuant: Fairness-Aware Mixed-Precision Quantization for Medical Image Classification](http://arxiv.org/abs/2602.23192v1) - arXiv
+
+---
+*Generated by AINewsCollector*

skill/ai-news-collector/collect.js

@@ -6,32 +6,28 @@
 
 const fs = require('fs');
 const path = require('path');
-const https = require('https');
+const { execSync } = require('child_process');
-const http = require('http');
 
 // 配置
 const CONFIG_PATH = path.join(__dirname, '../../config.json');
 const CACHE_PATH = path.join(__dirname, '../../cache/seen_urls.json');
 const DAILY_DIR = path.join(__dirname, '../../daily');
 
-// HTTP 请求封装
+// 代理配置
+const PROXY_URL = process.env.HTTP_PROXY || process.env.HTTPS_PROXY || 'http://127.0.0.1:7890';
+
+// 使用 curl 子进程请求（稳定支持代理）
 function fetch(url) {
-  return new Promise((resolve, reject) => {
+  try {
-    const client = url.startsWith('https') ? https : http;
+    const proxyFlag = PROXY_URL ? `--proxy "${PROXY_URL}"` : '';
-    const req = client.get(url, {
+    const data = execSync(
-      headers: {
+      `curl -s ${proxyFlag} -L --max-time 30 -H "User-Agent: Mozilla/5.0 (compatible; AINewsCollector/1.0)" "${url}"`,
-        'User-Agent': 'Mozilla/5.0 (compatible; AINewsCollector/1.0)',
+      { encoding: 'utf8', maxBuffer: 10 * 1024 * 1024 }
-        'Accept': 'application/json, text/html, */*'
+    );
-      },
+    return { data, status: 200 };
-      timeout: 30000
+  } catch (err) {
-    }, (res) => {
+    throw new Error(`Fetch failed: ${err.message}`);
-      let data = '';
+  }
-      res.on('data', chunk => data += chunk);
-      res.on('end', () => resolve({ data, status: res.statusCode }));
-    });
-    req.on('error', reject);
-    req.on('timeout', () => { req.destroy(); reject(new Error('Timeout')); });
-  });
 }
 
 // ============ 数据采集器 ============
@@ -40,9 +36,16 @@ async function collectArxiv(config) {
   const items = [];
   const categories = config.categories || ['cs.AI', 'cs.CL', 'cs.LG'];
 
+  // 计算48小时前的日期（用于过滤）
+  const now = new Date();
+  const twoDaysAgo = new Date(now.getTime() - 48 * 60 * 60 * 1000);
+
   for (const cat of categories) {
     try {
-      const url = `http://export.arxiv.org/api/query?search_query=cat:${cat}&sortBy=lastUpdatedDate&sortOrder=descending&maxResults=${config.maxResults || 50}`;
+      // 使用 lastUpdatedDate 排序获取最新论文，然后在代码里过滤
+      const url = `https://export.arxiv.org/api/query?search_query=cat:${cat}&sortBy=lastUpdatedDate&sortOrder=descending&max_results=${config.maxResults || 50}`;
+
+      console.log(`   查询: ${cat}`);
       const { data } = await fetch(url);
 
       const entries = data.split('<entry>').slice(1);
@@ -51,20 +54,27 @@ async function collectArxiv(config) {
         const title = entry.match(/<title>([\s\S]*?)<\/title>/)?.[1]?.trim().replace(/\n/g, ' ');
         const summary = entry.match(/<summary>([\s\S]*?)<\/summary>/)?.[1]?.trim().replace(/\n/g, ' ').slice(0, 200);
         const link = entry.match(/<id>([\s\S]*?)<\/id>/)?.[1]?.trim();
+        const updated = entry.match(/<updated>([\s\S]*?)<\/updated>/)?.[1]?.trim();
+        const published = entry.match(/<published>([\s\S]*?)<\/published>/)?.[1]?.trim();
 
         if (title && link) {
+          const publishedDate = published ? new Date(published) : null;
+
+          // 只保留最近48小时内发布的论文
+          if (publishedDate && publishedDate >= twoDaysAgo) {
             items.push({
               title,
               summary: summary || '',
               url: link,
               source: 'arXiv',
               sourceWeight: config.weight || 6,
-            date: new Date().toISOString().split('T')[0]
+              date: published ? published.split('T')[0] : new Date().toISOString().split('T')[0]
             });
           }
         }
+      }
     } catch (err) {
-      console.error(`[arXiv] Error:`, err.message);
+      console.error(`[arXiv] Error for ${cat}:`, err.message);
     }
   }
   return items;
@@ -73,9 +83,15 @@ async function collectArxiv(config) {
 async function collectHuggingFace(config) {
   const items = [];
   try {
-    const { data } = await fetch(`https://huggingface.co/api/daily-papers?limit=${config.maxResults || 30}`);
+    // 使用正确的 API 端点：daily_papers（下划线），不需要认证
+    const { data } = await fetch(`https://huggingface.co/api/daily_papers?limit=${config.maxResults || 30}`);
     const papers = JSON.parse(data);
 
+    if (!Array.isArray(papers)) {
+      console.error('[HuggingFace] Error: API返回的不是数组');
+      return items;
+    }
+
     for (const paper of papers) {
       items.push({
         title: paper.title || paper.paper?.title || 'Untitled',