access-control-policy-design
access-control-policy-design is an Auth & identity skill for AI agents, published by tan-yong-sheng in the ai-vision-mcp repository on GitHub. Skillspace rates access-control-policy-design D (66/100) and it passed the safety scan; the rating is based on static analysis only.
USE THIS SKILL whenever any topic related to access control, authorization, permissions, or security policy arises in any form. Triggers include — but are not limited to: RBAC, ABAC, PBAC, ACL, DAC, ReBAC, Zanzibar, OPA, Cedar, Casbin, SpiceDB, OpenFGA, Permify, Oso, Cerbos, Permit.io; any mention of "who can do what", "role", "permission", "policy", "authorization", "multi-tenant access", "least privilege", "Zero Trust", "IAM design", "SaaS permission modeling", "access audit", "compliance access control" (HIPAA, GDPR, SOC2, PCI-DSS, ISO27001); also trigger when designing any new feature that controls what users can see or do, or when reviewing, refactoring, or debugging any auth/authz system. When in doubt — trigger this skill. Access control is architectural and getting it wrong is expensive.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 64
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.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.