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News Aggregator Skill
by
Abigale-cyber
· GitHub ↗
· v1.0.0
· MIT-0
89
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Install in OpenClaw
/install content-system-news-aggregator-skill
Description
Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 28 sources including Hacker News, GitHub, Hugging Face Papers...
README (SKILL.md)
News Aggregator Skill
Fetch real-time hot news from 28 sources, generate deep analysis reports in Chinese.
🔄 Universal Workflow (3 Steps)
Every news request follows the same workflow, regardless of source or combination:
Step 1: Fetch Data
# Single source
python3 scripts/fetch_news.py --source \x3Csource_key> --no-save
# Multiple sources (comma-separated)
python3 scripts/fetch_news.py --source hackernews,github,wallstreetcn --no-save
# All sources (broad scan)
python3 scripts/fetch_news.py --source all --limit 15 --deep --no-save
# With keyword filter (auto-expand: "AI" → "AI,LLM,GPT,Claude,Agent,RAG")
python3 scripts/fetch_news.py --source hackernews --keyword "AI,LLM,GPT" --deep --no-save
Step 2: Generate Report
Read the output JSON and format every item using the Unified Report Template below. Translate all content to Simplified Chinese.
Step 3: Save & Present
Save the report to reports/YYYY-MM-DD/\x3Csource>_report.md, then display the full content to the user.
📰 Unified Report Template
All sources use this single template. Show/hide optional fields based on data availability.
#### N. [标题 (中文翻译)](https://original-url.com)
- **Source**: 源名 | **Time**: 时间 | **Heat**: 🔥 热度值
- **Links**: [Discussion](hn_url) | [GitHub](gh_url) ← 仅在数据存在时显示
- **Summary**: 一句话中文摘要。
- **Deep Dive**: 💡 **Insight**: 深度分析（背景、影响、技术价值）。
Source-Specific Adaptations
Only the differences from the universal template:
| Source | Adaptation |
|---|---|
| Hacker News | MUST include [Discussion](hn_url) link |
| GitHub | Use 🌟 Stars for Heat, add Lang field, add #Tags in Deep Dive |
| Hugging Face | Use 🔥 +N upvotes for Heat, include [GitHub](url) if present, write 深度解读 (not just translate abstract) |
| Preserve exact heat text (e.g. "108万") |
🛠️ Tools
fetch_news.py
| Arg | Description | Default |
|---|---|---|
--source |
Source key(s), comma-separated. See table below. | all |
--limit |
Max items per source | 15 |
--keyword |
Comma-separated keyword filter | None |
--deep |
Download article text for richer analysis | Off |
--save |
Force save to reports dir | Auto for single source |
--outdir |
Custom output directory | reports/YYYY-MM-DD/ |
Available Sources (28)
| Category | Key | Name |
|---|---|---|
| Global News | hackernews |
Hacker News |
36kr |
36氪 | |
wallstreetcn |
华尔街见闻 | |
tencent |
腾讯新闻 | |
weibo |
微博热搜 | |
v2ex |
V2EX | |
producthunt |
Product Hunt | |
github |
GitHub Trending | |
| AI/Tech | huggingface |
HF Daily Papers |
ai_newsletters |
All AI Newsletters (aggregate) | |
bensbites |
Ben's Bites | |
interconnects |
Interconnects (Nathan Lambert) | |
oneusefulthing |
One Useful Thing (Ethan Mollick) | |
chinai |
ChinAI (Jeffrey Ding) | |
memia |
Memia | |
aitoroi |
AI to ROI | |
kdnuggets |
KDnuggets | |
| Podcasts | podcasts |
All Podcasts (aggregate) |
lexfridman |
Lex Fridman | |
80000hours |
80,000 Hours | |
latentspace |
Latent Space | |
| Essays | essays |
All Essays (aggregate) |
paulgraham |
Paul Graham | |
waitbutwhy |
Wait But Why | |
jamesclear |
James Clear | |
farnamstreet |
Farnam Street | |
scottyoung |
Scott Young | |
dankoe |
Dan Koe |
daily_briefing.py (Morning Routines)
Pre-configured multi-source profiles:
python3 scripts/daily_briefing.py --profile \x3Cprofile>
| Profile | Sources | Instruction File |
|---|---|---|
general |
HN, 36Kr, GitHub, Weibo, PH, WallStreetCN | instructions/briefing_general.md |
finance |
WallStreetCN, 36Kr, Tencent | instructions/briefing_finance.md |
tech |
GitHub, HN, Product Hunt | instructions/briefing_tech.md |
social |
Weibo, V2EX, Tencent | instructions/briefing_social.md |
ai_daily |
HF Papers, AI Newsletters | instructions/briefing_ai_daily.md |
reading_list |
Essays, Podcasts | (Use universal template) |
Workflow: Execute script → Read corresponding instruction file → Generate report following both the instruction file AND the universal template.
⚠️ Rules (Strict)
- Language: ALL output in Simplified Chinese (简体中文). Keep well-known English proper nouns (ChatGPT, Python, etc.).
- Time: MANDATORY field. Never skip. If missing in JSON, mark as "Unknown Time". Preserve "Real-time" / "Today" / "Hot" as-is.
- Anti-Hallucination: Only use data from the JSON. Never invent news items. Use simple SVO sentences. Do not fabricate causal relationships.
- Smart Keyword Expansion: When user says "AI" → auto-expand to
"AI,LLM,GPT,Claude,Agent,RAG,DeepSeek". Similar expansions for other domains. - Smart Fill: If results \x3C 5 items in a time window, supplement with high-value items from wider range. Mark supplementary items with ⚠️.
- Save: Always save report to
reports/YYYY-MM-DD/before displaying.
📋 Interactive Menu
When the user says "如意如意" or asks for "menu/help":
- Read
templates.md - Display the menu
- Execute the user's selection using the Universal Workflow above
Requirements
- Python 3.8+,
pip install -r requirements.txt - Playwright (for HF Papers & Ben's Bites):
playwright install chromium
Usage Guidance
This skill appears to implement what it claims (web scraping + Playwright-based deep fetch + markdown reports) but has several worrying inconsistencies and operational risks. Before installing or enabling it:
- Do NOT grant system-level scheduling (crontab) or run suggested cron commands without manual review; the implementation_plan proposes this but it is not present as an installed artifact. Scheduling would allow persistent, autonomous network access.
- Treat the SKILL.md as potentially adversarial: remove or inspect any invisible Unicode control characters and any 'magic phrase' triggers (the skill listens for the phrase “如意如意”).
- Install and run in a sandboxed environment first (container or VM). Verify dependencies (pip packages and Playwright + Chromium) are installed explicitly; the registry lacks a formal install spec even though scripts need these runtimes.
- Audit scripts that launch Playwright and write files (reports/YYYY-MM-DD/) — check file paths and ensure the skill cannot read unrelated user files. MISTAKES.md shows the author previously read files outside the expected path, so confirm the runtime does not search or read arbitrary filesystem locations.
- Be aware of the 'Smart Fill' behavior: the skill can supplement missing items (marked with ⚠️) which could lead to fabricated entries; if you need strictly factual output, disable supplementing behavior or require manual review.
If you want to proceed: run the code locally in a restricted environment, manually install Playwright and Chromium, inspect all scripts (especially any new scripts that would modify crontab or other system state), and only opt into automation after understanding and approving the exact crontab command and scripts involved.
Capability Analysis
Type: OpenClaw Skill
Name: content-system-news-aggregator-skill
Version: 1.0.0
The news-aggregator-skill is a comprehensive tool for fetching and summarizing news from over 28 sources, including Hacker News, GitHub, and various AI newsletters. The code utilizes standard Python libraries (requests, BeautifulSoup) and Playwright (in scripts like fetch_hf_papers_playwright.py) to bypass scraping protections, which is consistent with its stated purpose. While the implementation_plan.md suggests using crontab for scheduling, this is presented transparently as a feature for automated reporting. No evidence of data exfiltration, malicious command execution, or harmful prompt injection was found; the instructions in SKILL.md and the instructions/ directory are focused on improving report quality and preventing AI hallucination.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description match what the code does: many fetchers, Playwright-based deep fetch, and report generation for 28 sources. The README claims 'zero-config' (no API keys) which aligns with the code (no required env vars), but the project does require system-level dependencies (Playwright + Chromium) not declared in registry metadata — mismatch between claimed 'instruction-only/zero-config' and real installation needs.
Instruction Scope
SKILL.md instructs the agent to fetch sites, enrich content, translate to Simplified Chinese, save reports to disk, and run an interactive menu triggered by a magic phrase. It also contains rules that permit 'Smart Fill' supplementation when results are scarce (potentially fabricating items even though other rules say 'Only use data from JSON'), and it mandates always saving reports to reports/YYYY-MM-DD/. MISTAKES.md documents past behavior where the maintainer read arbitrary files (root artifacts) — indicating the runtime workflow has previously included searching the filesystem for data. These broaden the skill's scope beyond pure fetching/formatting and increase risk of unwanted reads/writes or hallucinated output.
Install Mechanism
Registry lists no install spec, but the bundle contains Python scripts that require dependencies and Playwright (README and SKILL.md instruct pip install -r requirements.txt and 'playwright install chromium'). The lack of a formal install entry in registry metadata is inconsistent: users/agents may run code without ensuring dependencies are installed. implementation_plan.md proposes adding a crontab and new scripts (daily_scan.sh, generate_basic_report.py) that are not present in the manifest — this discrepancy is notable and raises risk because scheduling/persistence is being proposed but not implemented in the published package.
Credentials
No environment variables, API keys, or config paths are requested in the registry metadata. The code uses public HTTP endpoints and scraping; it does not request secrets. This is proportionate to a news aggregator's purpose.
Persistence & Privilege
The skill as published does not set always:true and does not require model-disable. However implementation_plan.md explicitly asks the user to approve installing a cron job for daily automated scans (this would be a persistence/privilege escalation if installed). That cron proposal appears in a plan file rather than in active code, so it's not yet enforced — still, it's a clear request that would require elevated permission and explicit user approval before being enabled.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install content-system-news-aggregator-skill - After installation, invoke the skill by name or use
/content-system-news-aggregator-skill - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Publish auxiliary content-system skills
Metadata
Frequently Asked Questions
What is News Aggregator Skill?
Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 28 sources including Hacker News, GitHub, Hugging Face Papers... It is an AI Agent Skill for Claude Code / OpenClaw, with 89 downloads so far.
How do I install News Aggregator Skill?
Run "/install content-system-news-aggregator-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is News Aggregator Skill free?
Yes, News Aggregator Skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does News Aggregator Skill support?
News Aggregator Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created News Aggregator Skill?
It is built and maintained by Abigale-cyber (@abigale-cyber); the current version is v1.0.0.
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