
Browser Extract
Extracts structured data from web pages with built-in security gates that scan for PII and prompt injection before anything reaches the model or gets stored. The template system is clever: successful extractions auto-save as reusable recipes you can run against similar pages on the same domain. It wraps the older browser-scrape skill but adds AIDefence checks at every handoff point and records sessions as RVF containers for replay. The host-scoped templates are practical for recurring scrapes but won't transfer between sites. If you need to pull data from rendered pages without leaking sensitive strings into your workflow, this handles the paranoid plumbing so you don't have to wire aidefence_has_pii calls yourself.
- skills.sh installs
- 698
- GitHub stars
- 81.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add ruvnet/ruflo --skill browser-extract --agent claude-codeInstalls into .claude/skills of the current project.
Files
Browser Extract
Pull structured data out of a web page. Replaces the older browser-scrape skill with three new guarantees:
- The session is a recorded RVF container (composes
browser-record). - Successful extractions persist as
browser-templatesfor reuse. - Every string passes AIDefence before AgentDB store and before flowing back to the model.
When to use
- Extracting text, table data, or attribute values from rendered web pages.
- Building a reusable template for a recurring scrape pattern.
- Re-running a known template against a new URL on the same host.
Steps
Sponsors
Details
- Repository
- github.com/ruvnet/ruflo
- Categories
- Frontend Development, AI & Agent Building, Automation & Workflows
- First seen
- Jun 3, 2026
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