Tencent SkillHub · Developer Tools

News Aggregator Skill 0.1.0

Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 8 major sources: Hacker News, GitHub Trending, Product Hunt,...

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High Signal

Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 8 major sources: Hacker News, GitHub Trending, Product Hunt,...

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: README.md, SKILL.md, _meta.json, requirements.txt, scripts/fetch_news.py, templates.md

Validation

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Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

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New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: zy66677
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 7 sections Open source page

News Aggregator Skill

Fetch real-time hot news from multiple sources.

fetch_news.py

Usage: ### Single Source (Limit 10) ```bash ### Global Scan (Option 12) - **Broad Fetch Strategy** > **NOTE**: This strategy is specifically for the "Global Scan" scenario where we want to catch all trends. ```bash # 1. Fetch broadly (Massive pool for Semantic Filtering) python3 scripts/fetch_news.py --source all --limit 15 --deep # 2. SEMANTIC FILTERING: # Agent manually filters the broad list (approx 120 items) for user's topics.

Single Source & Combinations (Smart Keyword Expansion)

CRITICAL: You MUST automatically expand the user's simple keywords to cover the entire domain field. User: "AI" -> Agent uses: --keyword "AI,LLM,GPT,Claude,Generative,Machine Learning,RAG,Agent" User: "Android" -> Agent uses: --keyword "Android,Kotlin,Google,Mobile,App" User: "Finance" -> Agent uses: --keyword "Finance,Stock,Market,Economy,Crypto,Gold" # Example: User asked for "AI news from HN" (Note the expanded keywords) python3 scripts/fetch_news.py --source hackernews --limit 20 --keyword "AI,LLM,GPT,DeepSeek,Agent" --deep

Specific Keyword Search

Only use --keyword for very specific, unique terms (e.g., "DeepSeek", "OpenAI"). python3 scripts/fetch_news.py --source all --limit 10 --keyword "DeepSeek" --deep Arguments: --source: One of hackernews, weibo, github, 36kr, producthunt, v2ex, tencent, wallstreetcn, all. --limit: Max items per source (default 10). --keyword: Comma-separated filters (e.g. "AI,GPT"). --deep: [NEW] Enable deep fetching. Downloads and extracts the main text content of the articles. Output: JSON array. If --deep is used, items will contain a content field associated with the article text.

Interactive Menu

When the user says "news-aggregator-skill 如意如意" (or similar "menu/help" triggers): READ the content of templates.md in the skill directory. DISPLAY the list of available commands to the user exactly as they appear in the file. GUIDE the user to select a number or copy the command to execute.

Smart Time Filtering & Reporting (CRITICAL)

If the user requests a specific time window (e.g., "past X hours") and the results are sparse (< 5 items): Prioritize User Window: First, list all items that strictly fall within the user's requested time (Time < X). 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. Annotation: Clearly mark these older items (e.g., "⚠️ 18h ago", "🔥 24h Hot") so the user knows they are supplementary. High Value: Always prioritize "SOTA", "Major Release", or "High Heat" items even if they slightly exceed the time window. 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". Deep Analysis (Required): For EACH item, you MUST leverage your AI capabilities to analyze: Core Value (核心价值): What specific problem does it solve? Why is it trending? Inspiration (启发思考): What technical or product insights can be drawn? Scenarios (场景标签): 3-5 keywords (e.g. #RAG #LocalFirst #Rust).

6. Response Guidelines (CRITICAL)

Format & Style: Language: Simplified Chinese (简体中文). Style: Magazine/Newsletter style (e.g., "The Economist" or "Morning Brew" vibe). Professional, concise, yet engaging. Structure: Global Headlines: Top 3-5 most critical stories across all domains. Tech & AI: Specific section for AI, LLM, and Tech items. Finance / Social: Other strong categories if relevant. Item Format: Title: MUST be a Markdown Link to the original URL. ✅ Correct: ### 1. [OpenAI Releases GPT-5](https://...) ❌ Incorrect: ### 1. OpenAI Releases GPT-5 Metadata Line: Must include Source, Time/Date, and Heat/Score. 1-Liner Summary: A punchy, "so what?" summary. Deep Interpretation (Bulleted): 2-3 bullet points explaining why this matters, technical details, or context. (Required for "Deep Scan"). Output Artifact: Always save the full report to reports/ directory with a timestamped filename (e.g., reports/hn_news_YYYYMMDD_HHMM.md). Present the full report content to the user in the chat.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

3 Docs1 Scripts1 Config1 Files

SKILL.md Primary doc
README.md Docs
templates.md Docs
scripts/fetch_news.py Scripts
_meta.json Config
requirements.txt Files