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ruvnet/ruflo729 installs

browser-login

Drive an authentication flow once, sanitize cookies through AIDefence, and vault a reusable cookie handle in browser-cookies for future sessions

How do I install this agent skill?

npx skills add https://github.com/ruvnet/ruflo --skill browser-login
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubfail

    This skill automates the process of logging into websites and saving session cookies for future use. It carries a high security risk because it downloads and runs a remote command-line tool (@claude-flow/cli) from the internet every time it is used, which could lead to malicious code execution if that tool is compromised. Additionally, it extracts sensitive session cookies from the browser, creating a potential path for data theft.

  • Socketwarn

    1 alert: gptAnomaly

  • Snykwarn

    Risk: MEDIUM · 2 issues

What does this agent skill do?

Browser Login

Authenticate against a target site once, then vault the resulting session credentials so subsequent skills (browser-extract, browser-form-fill, browser-test) can reuse them without re-driving the auth flow. Borrows the pattern from Browserbase's cookie-sync/SKILL.md but stores the resulting context in AgentDB rather than on a hosted backend.

When to use

  • Establishing reusable auth for a host the agent will visit repeatedly.
  • Refreshing a vaulted cookie set whose expiry has passed.
  • Capturing an MFA-protected session that requires interactive completion.

Steps

  1. Open a recorded session via browser-record.
  2. Drive the auth flow — fill credentials with browser_fill / browser_type. Credentials come from the user or environment; do not read them from .env or paste them into the trajectory args.
  3. Handle MFA (when --mfa): pause for user input or invoke the user's TOTP helper; capture only the resulting redirect, not the code itself.
  4. Capture cookies via browser_eval:
    document.cookie  // returns the cookie string for the active document
    
    Or use the Playwright context API where exposed.
  5. AIDefence sanitize:
    # Each cookie value passes aidefence_scan to flag raw secrets / high-entropy tokens.
    
    Tokens that look raw get vault-wrapped (an opaque handle) before AgentDB store; raw values never enter the namespace.
  6. Store in browser-cookies:
    npx -y @claude-flow/cli@latest memory store --namespace browser-cookies \
      --key "<host>" \
      --value "{vault_handle:<opaque>, expiry:<iso>, aidefence_verdict:safe}"
    
  7. Return the vault handle so downstream skills can mount it via the planned browser_cookie_use MCP tool.

Caveats

  • Never log raw cookie values, tokens, or passwords. The trajectory step for the auth POST records only the form field names and a <redacted> placeholder for values.
  • The browser_cookie_use MCP tool is reserved (ADR-0001 §7) but not yet implemented. Until then, downstream skills mount the vaulted cookies via a helper bash function in scripts/ (TBD).
  • Some sites bind cookies to a UA fingerprint; if a vaulted cookie fails on reuse, re-run browser-login. Do not attempt to fingerprint-match yourself.
  • This skill is not a credential storage solution. The vault-handle pattern protects against AgentDB leaks, not against compromise of the agent's environment.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/ruvnet/ruflo/browser-login">View browser-login on skillZs</a>