Ruflo Browser
Plugin AktivSession-as-skill browser automation: Playwright + RVF cognitive containers + ruvector trajectories + AgentDB selector memory + AIDefence PII/injection gates
To enable structured, replayable, and secure browser automation for tasks like testing, scraping, and auditing web applications.
Funktionen
- Record browser sessions into RVF containers
- Replay recorded session trajectories
- Extract data with AIDefence security gates
- Automate UI testing with replayable artifacts
- Manage session cookies securely via vaulting
Anwendungsfälle
- Performing regression testing on web application UI changes
- Capturing and analyzing user interaction flows for auditing or debugging
- Automating data extraction from websites with persistent templates
- Establishing baseline security configurations for authentication flows
Nicht-Ziele
- Directly executing arbitrary shell commands or arbitrary SQL
- Providing a general-purpose web scraping tool without structured session artifacts
- Bypassing security gates like AIDefence or user confirmation for destructive actions
Workflow
- Open a named browser session with RVF container allocation
- Perform browser interactions (navigate, click, fill, etc.)
- Record each action as a ruvector trajectory step
- Capture session artifacts (screenshots, snapshots, cookies)
- Commit the session at end-of-life via RVF compaction and AgentDB indexing
Praktiken
- Browser automation
- Session recording
- Security gating
- Data extraction
Practical Utility
- warning:Production readinessWhile the v0.2.0 architecture is proposed and has a replay spike as a gate, the core replay functionality relies on pending MCP tool implementations, introducing a dependency on future development for full production readiness.
Installation
Zuerst Marketplace hinzufügen
/plugin marketplace add ruvnet/ruflo/plugin install ruflo-browser@rufloEnthält 9 Erweiterungen
Skill (9)
Probe a site's authentication flow for redirect leaks, missing CSRF, weak session cookies, and OAuth misconfiguration; produces an auth findings.md
Extract structured data via stored browser-templates or one-shot DOM queries, with mandatory AIDefence PII + prompt-injection gates before content reaches the model
Fill a web form by mapping field-name → value, with optional template lookup from browser-templates for known forms
Drive an authentication flow once, sanitize cookies through AIDefence, and vault a reusable cookie handle in browser-cookies for future sessions
Open a named, traced browser session into an RVF cognitive container with a ruvector trajectory recording every action
Replay a recorded session trajectory against the same URL or a mutated variant; uses browser-selectors embedding similarity to recover from DOM drift
DEPRECATED in v0.2.0 -- use browser-extract instead; this is a thin shim for backward compatibility, removed in v0.3.0
Visual + DOM diff between two recorded sessions at matching trajectory step ids; used for visual regression and replay verification
UI test recipe -- composes browser-record (capture) + browser-replay (verify) so every test produces a replayable RVF artifact, not an ephemeral run
Qualitätspunktzahl
Vertrauenssignale
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