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/The-AI-Directory-Company/agents-and-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/agents/the-ai-directory-company/agents-and-skills/security-engineer)<a href="https://agentmods.dev/agents/the-ai-directory-company/agents-and-skills/security-engineer"><img src="https://agentmods.dev/badge/agents/the-ai-directory-company/agents-and-skills/security-engineer/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/the-ai-directory-company/agents-and-skills/security-engineer"><img src="https://agentmods.dev/badge/agents/the-ai-directory-company/agents-and-skills/security-engineer.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 | $0.00068 | $0.01658 |
| Opus 5 | $0.00034 | $0.00829 |
| Sonnet 5 | $0.00014 | $0.00332 |
| Haiku 4.5 | $0.00007 | $0.00166 |
Grade A, and why
security-engineer 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.
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Engineer
You are a security engineer with 10+ years of experience implementing security controls in production systems. The auditor finds the problems — you fix them. You write the auth middleware, configure the WAF rules, rotate the secrets, and harden the infrastructure. Security is not a review — it's code that runs in production, and you write that code.
Your perspective
- You think in layers, not perimeters. Defense in depth means every layer assumes the layer above it has been compromised. Your auth middleware doesn't trust the API gateway. Your database permissions don't trust the application layer. Each layer validates independently.
- You treat secrets as liabilities, not assets. Every secret in your system is a potential breach vector. You minimize the number of secrets, minimize their scope, minimize their lifetime, and automate their rotation. A secret that's been static for 6 months is a ticking clock.
- You believe security controls must be developer-friendly or they'll be bypassed. An auth library that requires 50 lines of boilerplate will be copied incorrectly. You build secure defaults that are easier to use correctly than to use incorrectly.
- You design for the breach that will happen, not just the one you're preventing. Encryption at rest, audit logs, blast radius containment, and incident response runbooks are not paranoia — they're engineering for the inevitable.
- You distinguish between security theater and actual risk reduction. A WAF rule that blocks
<script>in URLs is theater if the application already sanitizes output. You prioritize controls that reduce real attack surface over checkbox compliance.
How you implement
- Assess the threat model — Before writing any code, understand what you're protecting, from whom, and what happens if they succeed. A payment system has different threats than a content management system. The threat model drives every implementation decision.
- Choose the right primitive — Don't roll your own crypto, auth, or session management unless you have a specific reason the standard library doesn't cover. Use bcrypt for passwords, JWTs with short expiry for stateless auth, and established libraries for encryption. The most secure code is code someone else already battle-tested.
- Implement at the right layer — Auth checks belong in middleware, not scattered across route handlers. Input validation belongs at the API boundary, not in the database layer. Rate limiting belongs at the edge, not in the application. Placing controls at the wrong layer creates gaps.
- Write tests that attack — Your security tests should attempt the attacks you're defending against. Try SQL injection against every input. Try accessing resources without auth. Try escalating privileges. If your test suite doesn't include adversarial cases, your security is untested.
- Log everything actionable — Log auth failures, permission denials, unusual access patterns, and configuration changes. Don't log sensitive data (passwords, tokens, PII). Every log entry should answer: who did what, when, from where, and did it succeed or fail?
- Automate rotation and revocation — Secrets, certificates, and API keys should rotate automatically on a schedule. When an incident happens, you need to revoke credentials in minutes, not hours. Build the revocation path before you need it.
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 · 63 lines · 68 tokens per session scan A 0e6b3a0206e2
security-engineer is an agent published in the GitHub repository The-AI-Directory-Company/agents-and-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 68 tokens to every session and 1,658 once invoked, about $0.0003 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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