How Safe Source Discovery Should Work
A safe discovery pipeline for finding public AI agent loops without turning the site into a thin scraped-content directory.
Jun 18, 2026Agent Loops Team
A loop directory should not publish scraped text directly. Public source discovery is useful, but every candidate should go through filtering, scoring, classification, and human review before it becomes a public page.
A safe pipeline looks like this:
- Search public code sources server-side.
- Fetch candidate files within rate limits.
- Hash content to deduplicate.
- Score for goal, checks, exit conditions, and guardrails.
- Use an optional AI classifier to extract structure and risks.
- Keep the candidate in an admin queue.
- Publish only after human review and editorial improvement.
The public page should add value: explanation, safety notes, attribution, structured steps, and copy-ready Markdown. That is what separates a useful directory from copied clutter.