Skip to main content

no-news

Fetch and display international tech news from curated RSS feeds (TechCrunch, The Verge, Wired, Ars Technica, Engadget, Hacker News, MIT Technology Review, Gizmodo). Use when the user asks for tech news, latest technology headlines, international tech digest, or says "no-news", "tech news", "科技新闻". NOT for: AI-specific news aggregation (use ai-news or big-ai-news), Chinese tech news (use caixin), Hacker News only (use hn-news).

Zur Installation springen

Quellinformationen

Repository
knownasnaffy/prompthound
Letzte Quellaktivität
6. Juli 2026 um 07:03
Erkannte Sprache von SKILL.md
Englisch
Sterne
0
Forks
1

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

Datei-Explorer
3 Dateien

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
no-news
description
Fetch and display international tech news from curated RSS feeds (TechCrunch, The Verge, Wired, Ars Technica, Engadget, Hacker News, MIT Technology Review, Gizmodo). Use when the user asks for tech news, latest technology headlines, international tech digest, or says "no-news", "tech news", "科技新闻". NOT for: AI-specific news aggregation (use ai-news or big-ai-news), Chinese tech news (use caixin), Hacker News only (use hn-news).
### Credential Fixture Review `python scripts/_env_constants.py` is review material for the `No-News — 国际科技新闻` skill. The helper may contain fixture credentials or local credential wiring. Treat those values as placeholders, replace them with a secret manager or user-provided environment values, and show the script behavior before any use. Do not contact external services with embedded sample credentials. # 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) | Flag | Purpose | |---|---| | `--summary` | Include 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-cache` | Skip cache, force fresh fetch | | `--sources` | List 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 ```
Auf GitHub ansehen