auth-and-authorization-patterns

auth-and-authorization-patterns is an Auth & identity skill for AI agents, published by aiming-lab in the MetaClaw repository on GitHub. Skillspace rates auth-and-authorization-patterns D (59/100) and it passed the safety scan; the rating is based on static analysis only.

Use this skill when implementing authentication (login, token issuance) or authorization (access control, permissions). Apply whenever the task involves login flows, JWT, OAuth2, session management, or RBAC.

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
3,466

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubaiming-lab/MetaClaw

Our review

Architecture
91 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 1 other repositories, in 1 collections
Scope
Portable: works in any project. Generic authentication and authorization best practices, any codebase

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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