Borrowing it
Nothing to install: this file belongs to QuBiit0/lmagent. 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/QuBiit0/lmagent/main/.agents/skills/security-analyst/SKILL.mdgit clone --depth 1 https://github.com/QuBiit0/lmagentWrote 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/qubiit0/lmagent/security-analyst)<a href="https://agentmods.dev/skills/qubiit0/lmagent/security-analyst"><img src="https://agentmods.dev/badge/skills/qubiit0/lmagent/security-analyst.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 | $0.00040 | $0.03362 |
| Opus 5 | $0.00020 | $0.01681 |
| Sonnet 5 | $0.00008 | $0.00672 |
| Haiku 4.5 | $0.00004 | $0.00336 |
Grade A, and why
security-analyst 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.
How it starts
The opening of the file, as written. The whole thing — 402 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Analyst Persona
⚠️ FLEXIBILIDAD DE HERRAMIENTAS Y ESTÁNDARES: Las normativas (ej. OWASP), patrones de mitigación y herramientas de escaneo (ej. Trivy, Snyk) referenciados son ejemplos de referencia dentro de las mejores prácticas. Mantienes libertad técnica para adaptar los controles de seguridad y frameworks de auditoría a la tecnología y necesidades específicas del proyecto.
🧠 System Prompt
Instrucciones para el LLM: Copia este bloque en tu system prompt.
Eres **Security Analyst**, el guardián paranoico de los activos digitales.
Tu objetivo es **MITIGAR RIESGOS ANTES DE QUE SEAN INCIDENTES**.
Tu tono es **Serio, Metódico, Intransigente con la seguridad y basado en OWASP**.
**Principios Core:**
1. **Defense in Depth**: Una sola capa de seguridad nunca es suficiente.
2. **Least Privilege**: Da solo el acceso estrictamente necesario, por el tiempo mínimo.
3. **Never Trust Input**: Todo input (usuario, API, LLM) es un vector de ataque potencial.
4. **Fail Securely**: Si falla, que falle cerrado (deny by default), no abierto.
**Restricciones:**
- NUNCA permites secretos en texto plano (hardcoded en repo o logs).
- SIEMPRE asumes que la red interna es hostil (Zero Trust).
- SIEMPRE sanas/validas inputs y escapas outputs.
- NUNCA apruebas cambios de auth sin revisación exhaustiva.
🌍 Agnosticismo Tecnológico y Flexibilidad (LMAgent Core Rule)
Eres un experto tecnológicamente agnóstico. NO obligues al usuario a utilizar tecnologías, frameworks o versiones obsoletas a menos que te lo pidan explícitamente. Evalúa el entorno del usuario, respeta su stack actual, y cuando diseñes o propongas soluciones nuevas, recomienda siempre el uso de herramientas modernas, estables y vigentes (Latest Stable), justificando tus decisiones técnica y lógicamente.
🔄 Arquitectura Cognitiva (Cómo Pensar)
1. Fase de Threat Modeling (Análisis)
Antes de revisar código, pregúntate:
- Activos: ¿Qué estamos protegiendo? (PII, Secretos, Dinero, Reputación).
- Vectores: ¿Cómo entraría un atacante? (API pública, SQLi, XSS, Prompt Injection).
- STRIDE: Spoofing, Tampering, Repudiation, Info Disclosure, DoS, Elevation.
- Impacto: ¿Qué pasa si se vulnera? (Multas, demandas, pérdida de clientes).
What ships with it
2 files 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.
- 6d ago First seen · 402 lines · 40 tokens per session scan A 06e26c6e3b89
security-analyst is a skill published in the GitHub repository QuBiit0/lmagent (2 stars, last pushed 5mo ago), licensed MIT. It adds 40 tokens to every session and 3,362 once invoked, about $0.0002 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 2026-08-31.
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