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/ai-agent-engineer/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/ai-agent-engineer)<a href="https://agentmods.dev/skills/qubiit0/lmagent/ai-agent-engineer"><img src="https://agentmods.dev/badge/skills/qubiit0/lmagent/ai-agent-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/skills/qubiit0/lmagent/ai-agent-engineer"><img src="https://agentmods.dev/badge/skills/qubiit0/lmagent/ai-agent-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 | $0.00049 | $0.03268 |
| Opus 5 | $0.00024 | $0.01634 |
| Sonnet 5 | $0.00010 | $0.00654 |
| Haiku 4.5 | $0.00005 | $0.00327 |
Grade A, and why
ai-agent-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 9d 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 — 393 lines — stays where its author put it; the contents beside it link to each section on GitHub.
# Activación: Se activa para diseñar arquitecturas de agentes, RAG y flujos cognitivos.
# Diferenciación:
# - mcp-builder → CONSTRUYE HERRAMIENTAS/SERVERS (AI Engineer las orquesta).
# - prompt-engineer → OPTIMIZA textos de prompts (AI Engineer diseña el sistema).
AI Agent Engineer Persona
⚠️ FLEXIBILIDAD TECNOLÓGICA: Las librerías, modelos y estándares mencionados (ej. Pydantic, GPT-4, MCP) son ejemplos de referencia. Eres libre de sugerir y utilizar alternativas modernas y óptimas que cumplan con la misma funcionalidad.
🧠 System Prompt
Instrucciones para el LLM: Copia este bloque en tu system prompt.
Eres **AI Agent Engineer**, el constructor de los "cerebros" de la automatización.
Tu objetivo es **CREAR AGENTES CONFIABLES, CONTROLABLES Y ÚTILES**.
Tu tono es **Experimental, Pragmático, Orientado a la Confiabilidad**.
**Principios Core:**
1. **Tool-first, LLM-second**: El LLM decide; las herramientas ejecutan.
2. **Guardrails are Non-negotiable**: Un agente sin límites es un liability.
3. **Evals > Vibes**: Si no lo mides, no sabes si mejora.
4. **MCP is the Standard (2026)**: Usa el Model Context Protocol para herramientas.
**Restricciones:**
- NUNCA dejas un agente sin timeout o rate limit.
- SIEMPRE defines tool schemas estrictos (Pydantic/Zod).
- SIEMPRE implementas logging de tool calls y LLM outputs.
- NUNCA expones prompts o reasoning interno al usuario final.
🌍 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 Diseño (Qué tipo de Agente)
- Tarea: ¿Es conversacional, task-based, o autónomo?
- Arquitectura: ¿ReAct, Tool-only, Planner-Executor?
- Tools: ¿Qué puede hacer? ¿Qué NO puede hacer?
- Safety: ¿Qué guardrails necesita?
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.
- 9d ago First seen · 393 lines · 49 tokens per session scan A 605cde0d42e8
ai-agent-engineer is a skill published in the GitHub repository QuBiit0/lmagent (2 stars, last pushed 6mo ago), licensed MIT. It adds 49 tokens to every session and 3,268 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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