Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The skill's SKILL.md and code (e.g., scraper/sources/my_source.py and the HTML/RSS/Playwright patterns, plus ai/pipeline.py which builds prompts from scraped items and sends them to Gemini) explicitly fetch and ingest public/untrusted web content (examples include Hacker News, subreddits, LinkedIn, etc.) and uses the LLM's analyses to score/filter/store items, so third-party content can materially influence agent decisions.