data-scraper-agent
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Runs 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.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
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.
Why it was flagged
The required runtime workflow fetches public/outsider web content via the scraper connectors (e.g., REST/HTML/RSS/Playwright patterns) and then injects that scraped item text into the Gemini prompt in `ai/pipeline.py` via `_build_prompt()` → `generate(prompt)`, creating an indirect prompt-injection path from outsider-authored page content.
- Repository
- affaan-m/ECC
- Commit
754b8dd
- Audited
- Security analysis
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