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 rjmurillo/ai-agents --skill security-detectiongit clone --depth 1 https://github.com/rjmurillo/ai-agentsWrote 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/rjmurillo/ai-agents/security-detection)<a href="https://agentmods.dev/skills/rjmurillo/ai-agents/security-detection"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/security-detection/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/rjmurillo/ai-agents/security-detection"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/security-detection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 7 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00063 | $0.01553 |
| Opus 5.5 | $0.00025 | $0.00621 |
| Sonnet 5.5 | $0.00013 | $0.00311 |
| Haiku 4.5 | $0.00006 | $0.00155 |
Grade A, and why
security-detection 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 22d 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Detection Utility
Triggers
| Trigger Phrase | Operation |
|---|---|
scan for security changes |
detect-infrastructure with staged files |
check security-critical files |
detect-infrastructure with file list |
run security scan on changes |
detect-infrastructure analysis |
do I need a security review |
Risk-level assessment of changed files |
check infrastructure changes |
Pattern matching against critical/high lists |
When to Use
Use this skill when:
- Committing changes that may touch infrastructure or security files
- Pre-commit validation for security-sensitive paths
- Determining if a security agent review is needed
- CI pipeline security gate checks
Use the security agent directly instead when:
- You already know security review is needed
- Performing threat modeling or vulnerability assessment
- Reviewing authentication or authorization code in depth
Available Scripts
| Script | Language | Usage |
|---|---|---|
detect_infrastructure.py |
Python 3 | Cross-platform |
Usage
# Analyze staged files
python detect_infrastructure.py --use-git-staged
# Analyze specific files
python detect_infrastructure.py --files .github/workflows/ci.yml src/auth/login.cs
Output
When security-critical files are detected:
=== Security Review Detection ===
CRITICAL: Security agent review REQUIRED
Matching files:
[CRITICAL] .github/workflows/deploy.yml
[HIGH] src/Controllers/AuthController.cs
Run security agent before implementation:
Task(subagent_type="security", prompt="Review infrastructure changes")
When no matches:
No infrastructure/security files detected.
Risk Levels
| Level | Meaning | Action |
|---|---|---|
| CRITICAL | Immediate security implications | Review REQUIRED |
| HIGH | Potential security impact | Review RECOMMENDED |
Detected Patterns
Critical (Review Required)
- CI/CD workflows (
.github/workflows/*) - Git hook configuration (
{lefthook,.lefthook,lefthook-local,.lefthook-local}.{yml,yaml,json,jsonc,toml},.config/{lefthook,lefthook-local}.{yml,yaml,json,jsonc,toml},.husky/*) - Git hook policy (
scripts/validation/git_hook_policy.py) - Authentication code (
**/Auth/**,**/Security/**) - Environment files (
*.env*) - Credentials and keys (
*.pem,*.key,*secret*)
What ships with it
1 file 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.
- 22d ago Changed · +5 lines 105392bf8f7f
- 24d ago Changed df6c0459e9be
- 1mo ago First seen · 194 lines · 63 tokens per session scan A d30a2af5f476
security-detection is a skill published in the GitHub repository rjmurillo/ai-agents (48 stars, last pushed today), licensed MIT. It adds 63 tokens to every session and 1,553 once invoked, about $0.0003 per session on Opus 5.5. 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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