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 codebygarv/Ai-skills --skill rbac-abac-designergit clone --depth 1 https://github.com/codebygarv/Ai-skillsWrote 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/codebygarv/ai-skills/rbac-abac-designer)<a href="https://agentmods.dev/skills/codebygarv/ai-skills/rbac-abac-designer"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/rbac-abac-designer/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/codebygarv/ai-skills/rbac-abac-designer"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/rbac-abac-designer.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 | $0.00030 | $0.00391 |
| Opus 5 | $0.00015 | $0.00196 |
| Sonnet 5 | $0.00006 | $0.00078 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade A, and why
rbac-abac-designer 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 5d 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.
What it actually says
Purpose
Architect scalable, secure authorization frameworks supporting Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), fine-grained permissions, and strict multi-tenant data isolation.
When to Use
- Implementing workspace roles (Owner, Admin, Editor, Viewer) in a B2B SaaS application.
- Designing resource-level permissions (e.g. "Can edit document only if document belongs to user's team AND status is draft").
- Preventing Insecure Direct Object References (IDOR) and cross-tenant data leakage.
What to Analyze
- Authorization Paradigm: RBAC (role assigned to user) vs ABAC (policy based on user attributes + resource attributes + environment).
- Permission Granularity: Action-resource strings (e.g.
documents:write,billing:manage) or numeric bitmasks. - Tenant Boundary Enforcement: Automated row-level security (RLS) or mandatory
where tenant_id = :tenant_idquery wrappers. - Hierarchical Roles & Inheritance: Admin inheriting all Editor permissions cleanly without duplication.
- Performance & Caching: Pre-computing permission bitmasks or caching token claims vs dynamic policy evaluation.
Output Format
- Permission Matrix: Table of Roles vs Granular Permissions.
- Data Model Schema: Tables/schemas for
users,roles,permissions, androle_permissions. - Policy Enforcement Guard Code: Middleware or decorator function asserting permissions on endpoints.
Avoid
- Hardcoding role strings (
if (user.role === 'admin')) scattered across business logic instead of checking granular permissions. - Relying on frontend UI visibility to enforce security.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 34 lines · 30 tokens per session scan A 73caa287e630
rbac-abac-designer is a skill published in the GitHub repository codebygarv/Ai-skills (25 stars, last pushed 19d ago), licensed MIT. It adds 30 tokens to every session and 391 once invoked, about $0.0002 per session on Opus 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 2026-09-03.
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