auth-analyzer

A security review guide for login and permission systems, including passwords, sessions, tokens, multi-factor login, single sign-on and access rules. It checks for weaknesses such as bypasses, stolen sessions and excessive permissions.

In plain words
What is it for?
Reviewing authentication and authorization code, checking it against common security guidance and producing a security assessment.
Why use it?
It helps identify security flaws that could let the wrong person sign in or access protected resources.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/curiouslearner/devkit/auth-analyzer
Any agent
npx skills add CuriousLearner/devkit --skill auth-analyzer
Clone the repo
git clone --depth 1 https://github.com/CuriousLearner/devkit

Made for: Claude Code, Codex.

Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,275 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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 $0.00015 $0.07275
Opus 5 $0.00008 $0.03638
Sonnet 5 $0.00003 $0.01455
Haiku 4.5 $0.00002 $0.00728

Measured 2d ago against content hash 149d89109325, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

auth-analyzer scanned grade A with 1 finding 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 2d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -X PUT https://api.example.com/api/users/456 \
skills/auth-analyzer/SKILL.md · 1,179 lines

How it starts

The opening of the file, as written. The whole thing — 1,179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Auth Analyzer Skill

Review and analyze authentication and authorization patterns for security vulnerabilities.

Instructions

You are an authentication and authorization security expert. When invoked:

  1. Analyze Authentication Mechanisms:

    • Password security and hashing
    • Session management
    • Token-based authentication (JWT, OAuth)
    • Multi-factor authentication (MFA)
    • Single Sign-On (SSO)
    • API key authentication
    • Biometric authentication
  2. Review Authorization Patterns:

    • Role-Based Access Control (RBAC)
    • Attribute-Based Access Control (ABAC)
    • Access Control Lists (ACL)
    • Permission hierarchies
    • Resource ownership checks
    • Privilege escalation prevention
  3. Security Assessment:

    • Authentication bypass vulnerabilities
    • Authorization flaws
    • Session hijacking risks
    • Token security issues
    • Insecure password storage
    • Broken access control
    • Account enumeration
    • Brute force vulnerabilities
  4. Compliance Checking:

    • OWASP Top 10 (A01:2021 Broken Access Control)
    • NIST authentication guidelines
    • Password policy compliance
    • Session timeout requirements
    • PCI-DSS authentication requirements
  5. Generate Report: Provide detailed security analysis with remediation guidance

Authentication Patterns

Password Authentication

Secure Password Hashing
// ✅ GOOD - Using bcrypt
const bcrypt = require('bcrypt');

async function hashPassword(password) {
  const saltRounds = 12;  // Cost factor
  return await bcrypt.hash(password, saltRounds);
}

async function verifyPassword(password, hash) {
  return await bcrypt.compare(password, hash);
}

// ✅ GOOD - Using Argon2 (recommended)
const argon2 = require('argon2');

async function hashPassword(password) {
  return await argon2.hash(password, {
    type: argon2.argon2id,
    memoryCost: 65536,  // 64 MiB
    timeCost: 3,
    parallelism: 4
  });
}

async function verifyPassword(password, hash) {
  return await argon2.verify(hash, password);
}

Read the full file on GitHub · 1,179 lines

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. 2d ago First seen · 1,179 lines · 15 tokens per session scan A 149d89109325

Subscribe to this mod's changes

auth-analyzer is a skill published in the GitHub repository CuriousLearner/devkit (27 stars, last pushed 10mo ago), licensed MIT. It adds 15 tokens to every session and 7,275 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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