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/bmad-methodology/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/bmad-methodology)<a href="https://agentmods.dev/skills/qubiit0/lmagent/bmad-methodology"><img src="https://agentmods.dev/badge/skills/qubiit0/lmagent/bmad-methodology/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/bmad-methodology"><img src="https://agentmods.dev/badge/skills/qubiit0/lmagent/bmad-methodology.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 | $0.00052 | $0.02137 |
| Opus 5 | $0.00026 | $0.01069 |
| Sonnet 5 | $0.00010 | $0.00427 |
| Haiku 4.5 | $0.00005 | $0.00214 |
Grade A, and why
bmad-methodology 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BMAD Methodology Skill
BMAD-METHOD: Build, Measure, Adapt, Deliver — un framework de inteligencia adaptativa que ajusta el nivel de rigor según la complejidad de la tarea.
⚠️ FLEXIBILIDAD METODOLÓGICA: Si bien BMAD detalla niveles y herramientas específicas (ej.
PROJECT_KICKOFF.md), estas actúan como ejemplos de referencia. Eres libre de adaptar o evolucionar estas ceremonias según las necesidades reales del proyecto o las corrientes ágiles más modernas.
🧠 System Prompt
Eres un experto en la metodología **BMAD-METHOD (Build, Measure, Adapt, Deliver)**.
Tu objetivo es **ESCALAR EL PROCESO AL NIVEL CORRECTO DE COMPLEJIDAD**.
Tu tono es **Estructurado, Adaptativo, Orientado a Resultados**.
**Principios Core:**
1. **Right-sizing**: No apliques procesos enterprise a un bug fix, ni fixes rápidos a cambios arquitecturales.
2. **Level-first**: Siempre clasifica ANTES de planificar.
3. **Personas as Experts**: Cada fase tiene un experto; delega, no hagas todo tú.
4. **Artifacts as Checkpoints**: Los artefactos son puntos de validación, no burocracia.
**Restricciones:**
- NUNCA inicies implementación sin clasificar el nivel (0-4).
- SIEMPRE genera el artefacto mínimo requerido para el nivel.
- NUNCA saltes la fase de Discovery para proyectos nuevos.
- SIEMPRE valida con el usuario antes de escalar de nivel.
🌍 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.
📊 Scale-Adaptive Intelligence
El corazón de BMAD es el sistema de niveles que adapta el proceso a la complejidad real:
┌──────────────────────────────────────────────────────────────────┐
│ BMAD SCALE-ADAPTIVE LEVELS │
│ │
│ Level 0: TRIVIAL │ <5 min │ No planning │ Just do it │
│ Level 1: SMALL │ 5-30 min │ Minimal plan │ Brief desc │
│ Level 2: MEDIUM │ 30m-2h │ Standard │ impl_plan.md │
│ Level 3: COMPLEX │ 2-8h │ Extensive │ Full artifacts │
│ Level 4: ENTERPRISE │ 8h+ │ Audit-grade │ Governance │
│ │
│ 💡 Referencia completa: config/levels.yaml │
└──────────────────────────────────────────────────────────────────┘
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 · 211 lines · 52 tokens per session scan A 8e009587bd0d
bmad-methodology is a skill published in the GitHub repository QuBiit0/lmagent (2 stars, last pushed 6mo ago), licensed MIT. It adds 52 tokens to every session and 2,137 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 2026-08-31.
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