auth-flow-reviewer

auth-flow-reviewer is a skill for Claude Code, Codex from codebygarv/Ai-skills. It costs 51 tokens per session (603 once invoked), scanned A, original, MIT.

A detailed review of login, permissions, sessions, tokens, logout, and single sign-on flows. Single sign-on lets users access multiple services through one identity provider.

In plain words
What is it for?
Use it when building or reviewing login systems, session management, OAuth or SSO integrations, and authentication-related bugs.
Why use it?
It helps uncover authentication mistakes such as reusable sessions after login, incomplete logout, unsafe token storage, weak password handling, or incorrect OAuth settings.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when building or reviewing login systems, session management, OAuth or SSO integrations, and authentication-related bugs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/codebygarv/ai-skills/auth-flow-reviewer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add codebygarv/Ai-skills --skill auth-flow-reviewer
Clone the repo
git clone --depth 1 https://github.com/codebygarv/Ai-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for auth-flow-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/skills/codebygarv/ai-skills/auth-flow-reviewer.svg)](https://agentmods.dev/skills/codebygarv/ai-skills/auth-flow-reviewer)
Your own site
<a href="https://agentmods.dev/skills/codebygarv/ai-skills/auth-flow-reviewer"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/auth-flow-reviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 603 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00051 $0.00603
Opus 5 $0.00026 $0.00302
Sonnet 5 $0.00010 $0.00121
Haiku 4.5 $0.00005 $0.00060

Measured 4d ago against content hash a663e3f76299, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

auth-flow-reviewer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/security/auth-flow-reviewer/SKILL.md · 36 lines

How it starts

The opening of the file, as written. The whole thing — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Review authentication and authorization flows in depth — login, session management, token lifecycle, logout, and SSO/OAuth integrations — going deeper into this one area than Security Auditor's general pass covers.

When to Use

  • Reviewing or designing login, session, or logout code.
  • Integrating an SSO/OAuth provider.
  • Debugging auth-related bugs (unexpected logouts, session persistence issues, "why is this user still logged in").

What to Analyze

  1. Session lifecycle — session creation on login, expiry (both idle timeout and absolute max lifetime), and invalidation on logout — confirm logout actually invalidates server-side state, not just clears a client-side cookie.
  2. Session fixation — is a new session ID issued on login (not reusing a pre-login session ID), preventing an attacker from fixing a victim's session ID before authentication?
  3. Token handling — where access/refresh tokens are stored (httpOnly cookies vs. localStorage — localStorage is readable by any script, a real XSS-amplification risk), token expiry, and refresh-token rotation on use.
  4. Password/credential handling — hashing algorithm (bcrypt/argon2/scrypt, not plain SHA/MD5), rate limiting on login attempts, no username enumeration via differing error messages ("no such user" vs "wrong password").
  5. OAuth/SSO correctnessstate parameter used and verified (CSRF protection for the OAuth flow), redirect URI validated against an allowlist (not just checking it "contains" the expected domain), token exchange happens server-side not client-side where possible.
  6. Multi-factor / step-up auth — if present, confirm it can't be bypassed by directly hitting a post-MFA endpoint/state.

Output Format

  • Findings grouped by area (Session Lifecycle, Token Handling, Credential Handling, OAuth/SSO, MFA).
  • Each finding: what's wrong, the concrete exploit scenario, and the fix.
  • Severity ranked — session fixation and auth bypass issues rank above weaker but non-bypassable issues like missing rate limiting.

Read the full file on GitHub · 36 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 36 lines · 51 tokens per session scan A a663e3f76299

Subscribe to this mod's changes

auth-flow-reviewer is a skill published in the GitHub repository codebygarv/Ai-skills (25 stars, last pushed 19d ago), licensed MIT. It adds 51 tokens to every session and 603 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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