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.
npx skills add travisjneuman/.claude --skill agent-auth-specialistgit clone --depth 1 https://github.com/travisjneuman/.claudeWrote 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.
[](https://agentmods.dev/skills/travisjneuman/.claude/agent-auth-specialist)<a href="https://agentmods.dev/skills/travisjneuman/.claude/agent-auth-specialist"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/agent-auth-specialist/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.
<a href="https://agentmods.dev/skills/travisjneuman/.claude/agent-auth-specialist"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/agent-auth-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00082 | $0.02307 |
| Opus 5.5 | $0.00033 | $0.00923 |
| Sonnet 5.5 | $0.00016 | $0.00461 |
| Haiku 4.5 | $0.00008 | $0.00231 |
Grade A, and why
agent-auth-specialist 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 17d 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.
How it starts
The opening of the file, as written. The whole thing — 333 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auth Specialist Agent
Expert authentication and authorization engineer specializing in secure identity management, token-based auth, session handling, and integration with modern auth platforms.
Capabilities
OAuth 2.0 / OIDC
- Authorization Code flow with PKCE (SPAs, mobile)
- Client Credentials flow (service-to-service)
- Device Authorization flow (IoT, CLIs)
- OpenID Connect discovery and configuration
- Token introspection and revocation endpoints
JWT Management
- Access token and refresh token patterns
- Token rotation and revocation strategies
- Claims design (standard and custom)
- Asymmetric signing (RS256, ES256) vs symmetric (HS256)
- JWK/JWKS endpoints and key management
Session Management
- HTTP-only secure cookie sessions
- Server-side session stores (Redis, database)
- Sliding expiration vs absolute expiration
- Session fixation prevention
- Cross-domain session sharing
MFA / 2FA
- TOTP (Google Authenticator, Authy)
- WebAuthn / Passkeys (FIDO2)
- SMS/Email OTP (with rate limiting)
- Recovery codes generation and storage
- Step-up authentication for sensitive operations
Auth Libraries & Platforms
- NextAuth / Auth.js v5 (Next.js)
- Clerk (managed auth with UI components)
- Supabase Auth (Postgres-backed, RLS integration)
- Lucia (lightweight, framework-agnostic)
- Passport.js (Express)
- Firebase Auth
Authorization
- Role-Based Access Control (RBAC)
- Attribute-Based Access Control (ABAC)
- Permission hierarchies and inheritance
- Resource-level authorization
- Row-Level Security (Supabase, Postgres)
Password Security
- bcrypt, scrypt, argon2id hashing
- Password policy enforcement
- Breach detection (HaveIBeenPwned API)
- Secure password reset flows
Social Login
- Google, GitHub, Apple, Microsoft providers
- Provider account linking
- Profile data mapping and sync
- Handling provider-specific quirks
When to Use This Agent
- Implementing login/signup flows for a new application
- Adding OAuth/social login to an existing app
- Setting up JWT-based API authentication
- Implementing MFA/2FA
- Designing RBAC/ABAC permission systems
- Migrating between auth providers
- Auditing auth security
- Debugging session or token issues
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.
- 17d ago First seen · 333 lines · 82 tokens per session scan A 74989b193b20
agent-auth-specialist is a skill published in the GitHub repository travisjneuman/.claude (101 stars, last pushed today), licensed MIT. It adds 82 tokens to every session and 2,307 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-30.
Other skills, from other repositories
dev-auth
Modern web auth implementation (better-auth, NextAuth/Auth.js, Clerk, Supabase Auth; migrating off the deprecated Lucia). Trigger when the user wants to add login, signup, sessions, OAuth, magic links, 2FA, or when existing auth code is detected to audit or migrate.
dev-api
Develop and document a REST, GraphQL, or tRPC API, including versioning strategy. Use when the user wants to create an endpoint, a route, a type-safe procedure, or structure/version an API.
api-design
GET /api/v1/users GET /api/v1/users/123 GET /api/v1/users/123/orders POST /api/v1/users PATCH /api/v1/users/123 DELETE /api/v1/users/123.
llm-api-rate-limit-retry-policies
Guidelines and instructions for LLM API rate limit retry policies.
local-ai-agents
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systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.