Tech news from RSS(rich terminal support)

v1.0.0

Fetch and display international tech news from 8 curated RSS feeds with summaries, titles, links, and timestamps in a markdown table format.

0· 122·0 current·0 all-time
byJay@goog

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for goog/no-news.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Tech news from RSS(rich terminal support)" (goog/no-news) from ClawHub.
Skill page: https://clawhub.ai/goog/no-news
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install no-news

ClawHub CLI

Package manager switcher

npx clawhub@latest install no-news
Security Scan
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Benign
high confidence
Purpose & Capability
The name/description claim (aggregate 8 tech RSS feeds and render a markdown/table view) aligns with the provided SKILL.md and the bundled Python script. No unrelated credentials, binaries, or services are requested.
Instruction Scope
SKILL.md tells the agent to run the bundled script and install three Python libraries if missing. The script fetches only the listed RSS URLs, parses them, displays tables, allows opening article links in the browser, and caches results. It does not attempt to read unrelated system files or exfiltrate data to unknown endpoints. It does create and use a cache directory (~/.tech_news_cli/cache), which is expected for this use case.
Install Mechanism
There is no automated install spec; SKILL.md suggests installing common Python packages via pip (feedparser, requests, rich). This is proportional and uses well-known packages rather than downloading arbitrary executables or archives.
Credentials
The skill declares no environment variables or credentials and the code does not attempt to read secrets. The only external network targets are the explicit RSS feed URLs for the listed news sites.
Persistence & Privilege
always:false (default). The script creates a local cache directory under the user's home and stores JSON cache files there; this is limited in scope and proportional to the feature. The skill does not request system-wide configuration changes or access other skills' credentials.
Assessment
This skill appears to do exactly what it says: fetch public RSS feeds, cache results in ~/.tech_news_cli/cache, and display them in the terminal. Before installing, note: (1) it will make outbound HTTP(S) requests to the listed news sites, (2) it stores cached JSON files under your home directory (you can inspect or remove them anytime), and (3) it will open article links in your default browser if you request that. If you prefer stricter isolation, run the script in a virtual environment or container and verify dependencies are installed from PyPI or other trusted sources. If you need the agent not to call the skill autonomously, consider disabling autonomous invocation in your agent settings (the skill itself does not require autonomous privileges to function).

Like a lobster shell, security has layers — review code before you run it.

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122downloads
0stars
1versions
Updated 3w ago
v1.0.0
MIT-0

No-News — 国际科技新闻

Fetch tech news from 8 curated RSS sources and display as a markdown table.

Quick Start

Run the bundled script:

python scripts/tech_news.py --summary

This fetches all sources (with 30-min cache) and outputs a markdown table with title, source link, publish time, and summary.

Options (resolve from user request when specified)

FlagPurpose
--summaryInclude 摘要 column (recommended default)
-s <source>Single source (techcrunch, theverge, wired, arstechnica, engadget, hackernews, mittech, gizmodo)
-l <N>Items per source (default 10)
--no-cacheSkip cache, force fresh fetch
--sourcesList available sources

Workflow

  1. Run scripts/tech_news.py --summary (add -s or -l if user specified).
  2. Present the markdown output directly to the user.
  3. If user wants details on a specific article, provide the link from the table.

Dependencies

Requires feedparser, requests, rich — install if missing:

pip install feedparser requests rich

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