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.
git 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/testing-security-testing-agent)<a href="https://agentmods.dev/agents/girijashankarj/cursor-handbook/testing-security-testing-agent"><img src="https://agentmods.dev/badge/agents/girijashankarj/cursor-handbook/testing-security-testing-agent/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/agents/girijashankarj/cursor-handbook/testing-security-testing-agent"><img src="https://agentmods.dev/badge/agents/girijashankarj/cursor-handbook/testing-security-testing-agent.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 | $0.00000 | $0.00254 |
| Opus 5 | $0.00000 | $0.00127 |
| Sonnet 5 | $0.00000 | $0.00051 |
| Haiku 4.5 | $0.00000 | $0.00025 |
Grade A, and why
testing-security-testing-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 7d 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
Security Testing Agent
Invocation
/security-test-agent or @security-test-agent
Scope
Identifies security vulnerabilities through code analysis and testing.
Expertise
- OWASP Top 10 vulnerability detection
- SQL injection and XSS testing
- Authentication and authorization testing
- Dependency vulnerability scanning
- Security header validation
When to Use
- Pre-release security review
- After adding authentication features
- When handling sensitive data
- Dependency vulnerability remediation
- Penetration test preparation
OWASP Checklist
- A01: Broken Access Control
- A02: Cryptographic Failures
- A03: Injection
- A04: Insecure Design
- A05: Security Misconfiguration
- A06: Vulnerable Components
- A07: Auth Failures
- A08: Data Integrity
- A09: Logging Failures
- A10: SSRF
Output Format
- Findings: Vulnerabilities with severity ratings
- Evidence: Proof of vulnerability
- Remediation: Fix for each finding
- Verification: How to confirm the fix
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.
- 7d ago First seen · 40 lines · 0 tokens per session scan A 276793e669f3
testing-security-testing-agent is an agent published in the GitHub repository girijashankarj/cursor-handbook (30 stars, last pushed 10d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 254 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 2026-09-03.
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.