auth-sec

auth-sec is a skill for Claude Code, Codex from SecurityTalent/bugskill-ai. It costs 46 tokens per session (544 once invoked), scanned A, a copy of auth-sec, MIT.

A routing guide for authentication and authorization testing. It helps separate login and session issues from permission checks, browser trust problems, and identity protocols such as JWT, OAuth, and SAML.

In plain words
What is it for?
Use it to choose a deeper path for login, password reset, sessions, object permissions, cross-origin access, CSRF, OAuth, JWT, or enterprise single sign-on.
Why use it?
It gives testing a starting point when an application has several identity and access-control features that can fail in different ways.

Skill for Claude CodeCodex

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

Good fit Use it to choose a deeper path for login, password reset, sessions, object permissions, cross-origin access, CSRF, OAuth, JWT, or enterprise single sign-on.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/securitytalent/bugskill-ai/auth-sec
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 SecurityTalent/bugskill-ai --skill auth-sec
Clone the repo
git clone --depth 1 https://github.com/SecurityTalent/bugskill-ai

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-sec

README.md
[![agentmods](https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/auth-sec/github.svg)](https://agentmods.dev/skills/securitytalent/bugskill-ai/auth-sec)
Your own site
<a href="https://agentmods.dev/skills/securitytalent/bugskill-ai/auth-sec"><img src="https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/auth-sec/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for auth-sec

Your own site · 80×15
<a href="https://agentmods.dev/skills/securitytalent/bugskill-ai/auth-sec"><img src="https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/auth-sec.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 544 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 100% copy Near-identical to another mod 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 $0.00046 $0.00544
Opus 5.5 $0.00018 $0.00218
Sonnet 5.5 $0.00009 $0.00109
Haiku 4.5 $0.00005 $0.00054

Measured 1mo ago against content hash f960753f76bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

auth-sec 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 1mo 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.

Origin

This is a copy

100% identical to auth-sec — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

Awesome-Claude-Code-Agent-Skills/03-Authentication-and-Access-Control/auth-sec/SKILL.md · 41 lines

What it actually says

Authentication and Authorization Router

This is the routing entry point for authentication, sessions, and authorization boundaries.

Use it to decide whether the issue is mainly login mechanics, object-level authorization, browser trust boundaries, or identity protocols such as OAuth/JWT/SAML before going deeper.

When to Use

  • The target includes login, registration, password reset, 2FA, sessions, JWT, OAuth, or SSO
  • You suspect object authorization flaws, cross-tenant access, cross-origin reads, CSRF, or protocol misconfiguration
  • You need to decide whether to test authentication or authorization first

Skill Map

  1. First confirm the authentication model and session boundaries
  2. Then confirm object-level and function-level authorization
  3. Then move to token, cross-origin, and protocol details
  4. If enterprise federation exists, continue with OAuth, OIDC, or SAML topics
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. 1mo ago First seen · 41 lines · 46 tokens per session scan A f960753f76bf

Subscribe to this mod's changes

auth-sec is a skill published in the GitHub repository SecurityTalent/bugskill-ai (13 stars, last pushed 21d ago), licensed MIT. It adds 46 tokens to every session and 544 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to auth-sec, differing in 0 lines, and is treated as a copy.

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