Install
$ agentstack add skill-tellmefrankie-ai-investment-skills-news-sentiment-engine ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ● Environment & secrets Used
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
News Sentiment Engine (Free)
Collect and analyze AI/tech news from multiple sources with Claude-powered sentiment analysis. Ranks by industry impact and outputs a structured briefing card. Open source.
What it does
- Collects news from 4+ RSS feeds (TechCrunch, The Verge, Ars Technica, Hacker News)
- Deduplicates articles across sources
- Ranks top 5 by industry impact (policy > M&A > technology trend > product launch)
- Generates structured analysis with sentiment, impact score, and commentary
- Outputs a formatted briefing card
Usage
Collect latest AI/tech news from RSS feeds.
Rank top 5 by importance to the tech industry.
For each: summary (2-3 sentences), sentiment (positive/negative/neutral),
impact score (1-5), industry tags, one-sentence commentary.
Output as a structured briefing card.
Example Output
📰 AI/Tech News Briefing — 2026-05-13
━━━━━━━━━━━━━━━━━━━━━━━━━
1. OpenAI announces GPT-5 with 2M context window
Source: TechCrunch | Impact: ⭐⭐⭐⭐⭐ (5/5)
Tags: #AI #LLM #OpenAI
Sentiment: 📈 Positive
Summary: OpenAI unveiled GPT-5 with a 2M token context window and
improved reasoning. Enterprise pricing starts at $0.03/1k tokens.
API access begins June 2026 for existing customers.
Commentary: Direct competitive pressure on Anthropic Claude 3.5.
Enterprise deals may shift in H2 2026.
━━━━━━━━━━━━━━━━━━━━━━━━━
2. EU AI Act enforcement begins for high-risk systems
Source: The Verge | Impact: ⭐⭐⭐⭐ (4/5)
Tags: #Regulation #EU #Compliance
Sentiment: ⚠️ Neutral
Summary: The EU AI Act's high-risk system provisions took effect today,
requiring conformity assessments and human oversight documentation.
Affects healthcare, hiring, and credit scoring applications.
Commentary: US companies serving EU customers face compliance burden.
Legal/compliance AI tools likely to see increased demand.
━━━━━━━━━━━━━━━━━━━━━━━━━
Ranking Criteria
- Regulatory / policy — highest impact, affects industry broadly
- M&A / funding — capital flow signals
- Technology breakthrough — new capability, not incremental update
- Market shift — competitive dynamics change
- Product launch — lowest priority unless from major player
Setup
git clone https://github.com/tellmefrankie/news-engine
cd news-engine
pnpm install
cp .env.example .env
# Requires: ANTHROPIC_API_KEY
pnpm dev -- --collect-only
No paid APIs required for free tier. Anthropic API key only.
Pro Version
Free tier covers news collection and basic analysis.
Full bundle — $29 one-time: Investment-grade analysis (portfolio impact scoring, options flow correlation, earnings catalyst detection), Korean briefing format, Telegram auto-delivery. → https://jaehyunpark.gumroad.com/l/tcyahy
Author
Core module from a production news analysis engine processing 50+ articles daily. The full pipeline runs on a cron schedule and delivers via Telegram before market open.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: tellmefrankie
- Source: tellmefrankie/ai-investment-skills
- License: MIT
- Homepage: https://jaehyunpark.gumroad.com/l/tcyahy
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.