Skill Market

browser auth flow

Probe a site's authentication flow for redirect leaks, missing CSRF, weak session cookies, and OAuth misconfiguration; produces an auth findings.md

GitHub
githubcommunityclaudemcp
0.0
0 installs73.4K GitHub starsby ruvnet

Skill Introduction

Overview
Probe a site's authentication flow for redirect leaks, missing CSRF, weak session cookies, and OAuth misconfiguration; produces an auth findings.md

Core value

Turns reusable Development know-how into an installable skill, helping users complete github, community, claude, mcp work faster.

Target users

  • Developers, testers, and maintainers who handle Development tasks in Focus Code.
  • Teams that already trust workflows or content from ruvnet.
  • Users who want standardized prompts, steps, or conventions instead of repeating setup work.

Best practices

  • Read the skill content first to confirm required inputs, expected outputs, and dependencies.
  • Try it on a small task before relying on it for critical work.
  • Add project-specific constraints such as coding style, target platform, test expectations, and delivery format.
  • For external sources, verify the source link, version, and recent maintenance activity.

Best use cases

  • Tasks related to github, community, claude, mcp that need a reusable execution flow.
  • Converting a community repo, team convention, or personal workflow into day-to-day assistance.
  • Starting from a proven skill instead of writing prompts or procedures from scratch.

Limits and boundaries

  • Results depend on the quality of the original skill content and may need human correction.
  • It does not replace code review, tests, security review, or professional judgment.
  • External tools, APIs, account permissions, and local dependencies still need separate setup.

Differentiation

  • Structured around Development, making it easier to discover and reuse than loose prompt snippets.
  • Marked as GitHub, which helps users judge trust and maintenance expectations.
  • Keeps the original source link available for repository, documentation, or discussion follow-up.
  • Tagged with github, community, claude, mcp, so it can be filtered by concrete task intent.

Install and use

Install
Copy Install Command
focus install browser-auth-flow-b959c1
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Detail Preview

SKILL.md

Primary filemarkdown4 KB

name: browser-auth-flow description: Probe a site's authentication flow for redirect leaks, missing CSRF, weak session cookies, and OAuth misconfiguration; produces an auth findings.md argument-hint: "<login-url> [--credentials <handle>] [--probes csrf,redirect,cookie,oauth]" allowed-tools: mcp__claude-flow__browser_open mcp__claude-flow__browser_close mcp__claude-flow__browser_fill mcp__claude-flow__browser_type mcp__claude-flow__browser_click mcp__claude-flow__browser_wait mcp__claude-flow__browser_eval mcp__claude-flow__browser_snapshot mcp__claude-flow__browser_get-url mcp__claude-flow__aidefence_has_pii mcp__claude-flow__aidefence_scan Bash Read Write

Browser Auth Flow

Adversarial probe of a site's authentication. Drives the login flow once, records the trajectory, then runs a configurable set of probes against the captured artifacts and live page. Output is a structured findings.md inside the RVF container.

When to use

  • Pre-deployment audit of a new auth flow.
  • Investigating a suspected token leak or redirect issue.
  • Establishing a baseline for ongoing regression checks.

Steps

  1. Open a recorded session via browser-record.

  2. Drive the auth flow as in browser-login (credentials come from --credentials <handle> referencing browser-cookies if the run is a re-auth probe).

  3. Run probes:

    • csrf: inspect the login POST in the trajectory; verify a same-origin token field is present and non-empty.
    • redirect: watch browser_get-url after each nav for cross-origin redirects with auth state in the URL or fragment. Flag any token-bearing URL that crosses an origin boundary.
    • cookie: walk document.cookie via browser_eval. For each cookie, check Secure, HttpOnly, SameSite, expiry, and entropy of the value. Flag missing flags or short tokens. Pass each through aidefence_scan to flag PII embedded in cookie values.
    • oauth: if the flow involves a third-party provider, capture the authorization request, verify state and nonce are present and high-entropy, verify redirect_uri matches the registered callback domain.
  4. Quarantine any token / credential / PII captured during probing — it stays inside the RVF container's findings, never returns to the model unredacted (aidefence_is_safe gate from browser-extract applies if you read the findings back).

  5. Write findings.md with one section per probe, severity rating per finding, and a verdict (pass / warn / fail).

  6. Index the session in browser-sessions with tag: auth-probe so future audits compare against it.

Caveats

  • This skill probes; it does not exploit. Do not chain follow-up requests using a captured token.
  • Credentials must come from a vaulted handle or interactive entry. Never hardcode them in the field map.
  • Some probes require multiple page loads. Trajectory step count for an auth probe typically lands at 15–40 steps; budget accordingly.
  • The output is structured for human review. Do not auto-act on findings without surfacing them to the user first.

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