news-aggregation — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited news-aggregation (Agent Skill) and scored it 96/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 1 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 1 flagged
The text {match} tells the agent to skip the normal "ask the user first" gate. Used adversarially it removes the human-in-the-loop check before destructive or sensitive actions, turning a normally-gated agent into a fire-and-forget executor.
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Collect latest news from multiple sites and aggregators, merge similar stories into short topics, and list all main source links under each topic.
Install:
pip install feedparser python-dateutilUse a mixed source list for better coverage.
https://feeds.reuters.com/Reuters/worldNewshttps://feeds.apnews.com/apnews/topnewshttp://feeds.bbci.co.uk/news/world/rss.xmlhttps://www.aljazeera.com/xml/rss/all.xmlhttps://www.theguardian.com/world/rsshttps://feeds.npr.org/1001/rss.xmlhttps://news.google.com/rss/search?q=worldhttps://www.bing.com/news/search?q=world&format=RSShttps://hnrss.org/frontpagehttps://www.reddit.com/r/news/.rss// npm install rss-parser
const Parser = require('rss-parser');
const parser = new Parser();
const SOURCES = {
Reuters: 'https://feeds.reuters.com/Reuters/worldNews',
AP: 'https://feeds.apnews.com/apnews/topnews',
BBC: 'http://feeds.bbci.co.uk/news/world/rss.xml',
'Google News': 'https://news.google.com/rss/search?q=world'
};
async function fetchRecent(days = 3) {
const cutoff = Date.now() - days * 24 * 60 * 60 * 1000;
const all = [];
for (const [source, url] of Object.entries(SOURCES)) {
const feed = await parser.parseURL(url);
for (const item of feed.items || []) {
const ts = new Date(item.pubDate || item.isoDate || 0).getTime();
if (!ts || ts < cutoff) continue;
all.push({ source, title: item.title || '', link: item.link || '', ts });
}
}
return all.sort((a, b) => b.ts - a.ts);
}
// Next step: add title-similarity clustering (same idea as Python section above)Use the News Aggregation skill.
Requirements:
1) Pull news from multiple predefined sources (news sites + aggregators).
2) Default to only the last 3 days unless user asks another time range.
3) Group similar headlines into one short topic.
4) Under each topic, list all main source links (not just one source).
5) If 3+ sources cover the same event, output one topic with all those links.
6) Keep summaries short and factual; avoid adding unsupported claims.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.