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 agentmods add agents/girijashankarj/cursor-handbook/security-auth-agentgit clone --depth 1 https://github.com/girijashankarj/cursor-handbookWrote 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/agents/girijashankarj/cursor-handbook/security-auth-agent)<a href="https://agentmods.dev/agents/girijashankarj/cursor-handbook/security-auth-agent"><img src="https://agentmods.dev/badge/agents/girijashankarj/cursor-handbook/security-auth-agent.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00211 |
| Opus 5 | $0.00000 | $0.00105 |
| Sonnet 5 | $0.00000 | $0.00042 |
| Haiku 4.5 | $0.00000 | $0.00021 |
Grade A, and why
security-auth-agent 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 6d 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
Authentication & Authorization Agent
Invocation
/auth-agent or @auth-agent
Scope
Implements and reviews authentication and authorization systems.
Expertise
- JWT and session-based authentication
- OAuth 2.0 / OpenID Connect
- Role-based access control (RBAC)
- API key management
- Multi-factor authentication
When to Use
- Implementing authentication flows
- Adding authorization to endpoints
- Designing RBAC systems
- Reviewing auth security
- Implementing SSO/OAuth integration
Process
- Define auth requirements (who, what, how)
- Choose auth strategy (JWT, session, OAuth)
- Implement authentication middleware
- Set up authorization rules
- Write security tests
- Document auth flows
Output Format
- Auth Flow: Sequence diagram
- Implementation: Middleware and handlers
- Configuration: Environment variables needed
- Tests: Auth-specific test cases
- Documentation: API auth documentation
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.
- 6d ago First seen · 37 lines · 0 tokens per session scan A 870eaca78d7a
security-auth-agent is an agent published in the GitHub repository girijashankarj/cursor-handbook (30 stars, last pushed 6d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 211 tokens. 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 2026-08-30.
Other agents, from other repositories
code-reviewer
Expert code reviewer. Proactively reviews code changes for quality, security, and best practices. Use after implementing features or fixing bugs to ensure code quality.
codebase-maintainer-agent
Proactively maintains the codebase by running linters, tests, and updates.
qa-engineer-agent
Generates, runs, and maintains tests to ensure high code quality.
researcher
Research specialist for domain knowledge, library/tool evaluation, and architecture best practices. Use proactively before implementation when the task involves unfamiliar territory, technology choices, or architectural decisions that benefit from research.
code-simplifier
Post-implementation code cleanup specialist. Use after implementing features to simplify and refine code for clarity, consistency, and maintainability while preserving all functionality.
Demonstrate
Agent for demonstrating VS Code features.