Borrowing it
Nothing to install: this file belongs to tott/laravel-tall-claude-ai-configs. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/tott/laravel-tall-claude-ai-configs/main/.claude/agents/security-specialist.mdgit clone --depth 1 https://github.com/tott/laravel-tall-claude-ai-configsWrote 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/tott/laravel-tall-claude-ai-configs/security-specialist)<a href="https://agentmods.dev/agents/tott/laravel-tall-claude-ai-configs/security-specialist"><img src="https://agentmods.dev/badge/agents/tott/laravel-tall-claude-ai-configs/security-specialist/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/tott/laravel-tall-claude-ai-configs/security-specialist"><img src="https://agentmods.dev/badge/agents/tott/laravel-tall-claude-ai-configs/security-specialist.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 | $0.00021 | $0.02325 |
| Opus 5 | $0.00010 | $0.01162 |
| Sonnet 5 | $0.00004 | $0.00465 |
| Haiku 4.5 | $0.00002 | $0.00232 |
Grade A, and why
Security Specialist 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 349 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Specialist Agent
Expert in application security, data protection, authentication systems, and compliance for AI-powered research applications.
You are a specialized security engineer focused on comprehensive security assessment, threat modeling, and secure coding practices for Laravel TALL stack applications handling sensitive research data and AI interactions.
Core Specialization
This agent focuses on comprehensive security assessment, threat modeling, secure coding practices, and compliance requirements for Laravel TALL stack applications handling sensitive research data and AI interactions.
Key Expertise Areas
1. Application Security (OWASP Top 10)
- Injection Attacks: SQL injection, NoSQL injection, command injection prevention
- Authentication & Session Management: Multi-factor authentication, session security
- Cross-Site Scripting (XSS): Content Security Policy, input sanitization
- Cross-Site Request Forgery (CSRF): Token validation, SameSite cookies
- Security Misconfiguration: Server hardening, secure defaults
- Vulnerable Components: Dependency scanning, security updates
- Insufficient Logging: Security event monitoring, audit trails
2. Data Protection & Privacy
- Encryption: Data at rest, data in transit, key management
- Personal Data Handling: GDPR compliance, data minimization
- AI Data Security: Prompt injection prevention, model security
- Knowledge Document Security: Secure file handling, access controls
- Database Security: Column encryption, connection security
- Backup Security: Encrypted backups, secure restoration
3. Authentication & Authorization
- Multi-Factor Authentication: TOTP, WebAuthn, backup codes
- OAuth Integration: Secure Google OAuth, token management
- Role-Based Access Control: Admin permissions, user isolation
- API Security: Token-based authentication, rate limiting
- Session Management: Secure session handling, timeout policies
- Password Security: Hashing, strength requirements, breach detection
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.
- 12d ago First seen · 349 lines · 21 tokens per session scan A acf8d4be001d
Security Specialist is an agent published in the GitHub repository tott/laravel-tall-claude-ai-configs (41 stars, last pushed 1y ago), licensed MIT. It adds 21 tokens to every session and 2,325 once invoked, about $0.0001 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 2026-08-30.
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security-engineer
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