ClawHub

Nature and science AI news

v1.9.0

Fetch and summarize the latest AI-related articles from Nature's RSS feed and the top 7 AI news from New Scientist Technology. Use when the user asks for Nat...

⭐ 0· 112·0 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/nature.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Nature and science AI news" (goog/nature) from ClawHub.
Skill page: https://clawhub.ai/goog/nature
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 nature

ClawHub CLI

Package manager switcher

npx clawhub@latest install nature
Security Scan
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high confidence
✓
Purpose & Capability
Name/description match the instructions: the SKILL.md explicitly fetches Nature's RSS and New Scientist Technology pages and summarizes AI-related items. No unrelated credentials, binaries, or config paths are requested.
ℹ
Instruction Scope
Instructions stay within the stated scope (only web_fetch calls to two known sources, parsing and filtering). Minor implementation assumptions: it expects Nature items to include <dc:date> in YYYY-MM-DD and uses a 3-day window for Nature; the keyword list is broad (includes terms like 'quantum computing', 'encryption', 'chip', 'data centre') which may return non-AI items depending on how strictly 'AI-related' is interpreted. Also, New Scientist content or articles may be behind paywalls or structured differently, which could affect extraction—these are operational notes, not security issues.
✓
Install Mechanism
No install spec and no code files are present (instruction-only). This is the lowest-risk install pattern; nothing is downloaded or written to disk by the skill itself.
✓
Credentials
The skill requires no environment variables, credentials, or config paths. The declared inputs align with the task (public web fetches) and there is no disproportionate access requested.
✓
Persistence & Privilege
always is false and the skill does not request elevated or persistent privileges or modify other skills. Autonomous invocation is allowed by default but not excessive in this skill's context.
Assessment
This skill appears coherent and low-risk: it only fetches public webpages and parses them, and it asks for no secrets or installs. Before enabling, consider: (1) the keyword list is broad and may surface items that are not strictly AI-related — you may want to refine it; (2) Nature and New Scientist pages sometimes use different date tags or paywalls, so results could be incomplete; (3) verify that your agent's web_fetch respects robots.txt and site terms to avoid scraping policy issues. If you need guaranteed coverage or paid-article access, the skill will need additional credentials or API access, which it currently does not request.

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

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112downloads
0stars
2versions
Updated 3w ago
v1.9.0
MIT-0
Jay@goog
latest
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Nature + New Scientist AI News

Fetches AI news from two sources and merges results. Uses web_fetch only — no web_search.

Sources

  1. Nature RSS: https://www.nature.com/nature.rss
  2. New Scientist Tech: https://www.newscientist.com/subject/technology/

Workflow

Step 1 — Fetch Nature RSS

web_fetch(url="https://www.nature.com/nature.rss", extractMode="text", maxChars=50000)

Parse the XML. Each <item> has <title>, <link>, <dc:date> (YYYY-MM-DD).

Filter keywords: ai, artificial intelligence, machine learning, deep learning, neural network, quantum computing, llm, agi, chip, data centre, data center, algorithm, automation, generative, transformer, gpt, agent, autonomous, cybersecurity, encryption.

Date rule: keep only items from the last 3 days (Nature posts infrequently — 24h yields too little).

Step 2 — Fetch New Scientist Technology

web_fetch(url="https://www.newscientist.com/subject/technology/", extractMode="markdown", maxChars=50000)

Extract article links and headlines from the markdown output. For the top items, also fetch the individual article pages to get summaries:

web_fetch(url="<article-link>", extractMode="markdown", maxChars=5000)

Filter: Keep only AI-related articles (same keyword list as Nature). Return top 7 by recency.

Step 3 — Merge & Present

Combine results from both sources into a single digest, grouped by source:

## 🟢 New Scientist — AI News

**Headline** (date if available)
One-sentence summary.
→ URL

## 🔵 Nature — AI News

**Headline** (date)
One-sentence summary.
→ URL

Rules:

  • Max 7 items per source
  • If one source has zero AI items, say so honestly — don't pad
  • Always indicate which source each item came from

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