{"id":"1f63b606-ff4c-4748-9457-ea9e9254f928","entityType":"agent","slug":"clawhub-skills-administratorfung-news-aggregator-skill-3","name":"news-aggregator-skill","canonicalUrl":"https://www.xpersona.co/agent/clawhub-skills-administratorfung-news-aggregator-skill-3","canonicalPath":"/agent/clawhub-skills-administratorfung-news-aggregator-skill-3","generatedAt":"2026-10-10T03:09:55.416Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-04-15T00:45:39.800Z","emptyReason":null},"description":"Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 8 major sources: Hacker News, GitHub Trending, Product Hunt, 36Kr, Tencent News, WallStreetCN, V2EX, and Weibo. 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Best for 'daily scans', 'tech news briefings', 'finance updates', and 'deep interpretations' of hot topics.\"\n---\n\n# News Aggregator Skill\n\nFetch real-time hot news from multiple sources.\n\n## Tools\n\n### fetch_news.py\n\n**Usage:**\n\n```bash\n### Single Source (Limit 10)\n```bash\n### Global Scan (Option 12) - **Broad Fetch Strategy**\n> **NOTE**: This strategy is specifically for the \"Global Scan\" scenario where we want to catch all trends.\n\n```bash\n#  1. Fetch broadly (Massive pool for Semantic Filtering)\npython3 scripts/fetch_news.py --source all --limit 15 --deep\n\n# 2. SEMANTIC FILTERING:\n# Agent manually filters the broad list (approx 120 items) for user's topics.\n```\n\n### Single Source & Combinations (Smart Keyword Expansion)\n**CRITICAL**: You MUST automatically expand the user's simple keywords to cover the entire domain field.\n*   User: \"AI\" -> Agent uses: `--keyword \"AI,LLM,GPT,Claude,Generative,Machine Learning,RAG,Agent\"`\n*   User: \"Android\" -> Agent uses: `--keyword \"Android,Kotlin,Google,Mobile,App\"`\n*   User: \"Finance\" -> Agent uses: `--keyword \"Finance,Stock,Market,Economy,Crypto,Gold\"`\n\n```bash\n# Example: User asked for \"AI news from HN\" (Note the expanded keywords)\npython3 scripts/fetch_news.py --source hackernews --limit 20 --keyword \"AI,LLM,GPT,DeepSeek,Agent\" --deep\n```\n\n### Specific Keyword Search\nOnly use `--keyword` for very specific, unique terms (e.g., \"DeepSeek\", \"OpenAI\").\n```bash\npython3 scripts/fetch_news.py --source all --limit 10 --keyword \"DeepSeek\" --deep\n```\n\n**Arguments:**\n\n- `--source`: One of `hackernews`, `weibo`, `github`, `36kr`, `producthunt`, `v2ex`, `tencent`, `wallstreetcn`, `all`.\n- `--limit`: Max items per source (default 10).\n- `--keyword`: Comma-separated filters (e.g. \"AI,GPT\").\n- `--deep`: **[NEW]** Enable deep fetching. Downloads and extracts the main text content of the articles.\n\n**Output:**\nJSON array. If `--deep` is used, items will contain a `content` field associated with the article text.\n\n## Interactive Menu\n\nWhen the user says **\"news-aggregator-skill 如意如意\"** (or similar \"menu/help\" triggers):\n1.  **READ** the content of `templates.md` in the skill directory.\n2.  **DISPLAY** the list of available commands to the user exactly as they appear in the file.\n3.  **GUIDE** the user to select a number or copy the command to execute.\n\n### Smart Time Filtering & Reporting (CRITICAL)\nIf the user requests a specific time window (e.g., \"past X hours\") and the results are sparse (< 5 items):\n1.  **Prioritize User Window**: First, list all items that strictly fall within the user's requested time (Time < X).\n2.  **Smart Fill**: If the list is short, you MUST include high-value/high-heat items from a wider range (e.g. past 24h) to ensure the report provides at least 5 meaningful insights.\n2.  **Annotation**: Clearly mark these older items (e.g., \"⚠️ 18h ago\", \"🔥 24h Hot\") so the user knows they are supplementary.\n3.  **High Value**: Always prioritize \"SOTA\", \"Major Release\", or \"High Heat\" items even if they slightly exceed the time window.\n4.  **GitHub Trending Exception**: For purely list-based sources like **GitHub Trending**, strictly return the valid items from the fetched list (e.g. Top 10). **List ALL fetched items**. Do **NOT** perform \"Smart Fill\".\n    *   **Deep Analysis (Required)**: For EACH item, you **MUST** leverage your AI capabilities to analyze:\n        *   **Core Value (核心价值)**: What specific problem does it solve? Why is it trending?\n        *   **Inspiration (启发思考)**: What technical or product insights can be drawn?\n        *   **Scenarios (场景标签)**: 3-5 keywords (e.g. `#RAG #LocalFirst #Rust`).\n\n### 6. Response Guidelines (CRITICAL)\n\n**Format & Style:**\n- **Language**: Simplified Chinese (简体中文).\n- **Style**: Magazine/Newsletter style (e.g., \"The Economist\" or \"Morning Brew\" vibe). Professional, concise, yet engaging.\n- **Structure**:\n    - **Global Headlines**: Top 3-5 most critical stories across all domains.\n    - **Tech & AI**: Specific section for AI, LLM, and Tech items.\n    - **Finance / Social**: Other strong categories if relevant.\n- **Item Format**:\n    - **Title**: **MUST be a Markdown Link** to the original URL.\n        - ✅ Correct: `### 1. [OpenAI Releases GPT-5](https://...)`\n        - ❌ Incorrect: `### 1. OpenAI Releases GPT-5`\n    - **Metadata Line**: Must include Source, **Time/Date**, and Heat/Score.\n    - **1-Liner Summary**: A punchy, \"so what?\" summary.\n    - **Deep Interpretation (Bulleted)**: 2-3 bullet points explaining *why* this matters, technical details, or context. (Required for \"Deep Scan\").\n\n**Output Artifact:**\n- Always save the full report to `reports/` directory with a timestamped filename (e.g., `reports/hn_news_YYYYMMDD_HHMM.md`).\n- Present the full report content to the user in the chat.\n","readmeExcerpt":"--- name: news-aggregator-skill description: \"Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 8 major sources: Hacker News, GitHub Trending, Product Hunt, 36Kr, Tencent News, WallStreetCN, V2EX, and Weibo. Best for 'daily scans', 'tech news briefings', 'finance updates', and 'deep interpretations' of hot topics.\" --- News Aggregator Skill Fetch real-time hot news from m","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"### Single Source (Limit 10)"},{"language":"bash","snippet":"#  1. Fetch broadly (Massive pool for Semantic Filtering)\npython3 scripts/fetch_news.py --source all --limit 15 --deep\n\n# 2. SEMANTIC FILTERING:\n# Agent manually filters the broad list (approx 120 items) for user's topics."},{"language":"bash","snippet":"# Example: User asked for \"AI news from HN\" (Note the expanded keywords)\npython3 scripts/fetch_news.py --source hackernews --limit 20 --keyword \"AI,LLM,GPT,DeepSeek,Agent\" --deep"},{"language":"bash","snippet":"python3 scripts/fetch_news.py --source all --limit 10 --keyword \"DeepSeek\" --deep"}],"parameters":{},"dependencies":[],"permissions":[],"extractedFiles":[],"languages":["typescript"],"docsSourceLabel":"CLAWHUB","editorialOverview":"Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 8 major sources: Hacker News, GitHub Trending, Product Hunt, 36Kr, Tencent News, WallStreetCN, V2EX, and Weibo. Best for 'daily scans', 'tech news briefings', 'finance updates', and 'deep interpretations' of hot topics. --- name: news-aggregator-skill description: \"Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 8 major sources: Hacker News, GitHub Trending, Product Hunt, 36Kr, Tencent News, WallStreetCN, V2EX, and Weibo. Best for 'daily scans', 'tech news briefings', 'finance updates', and 'deep interpretations' of hot topics.\" --- News Aggregator Skill Fetch real-time hot news from m","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":410,"uniquenessScore":59,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-04-15T00:45:39.800Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-04-15T00:45:39.800Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-10T03:09:55.416Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. 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