router-agent.es

A Spanish-language routing agent for the Evolith BMAD system. It reads a manifest, which lists available agents and capabilities, and sends each request to the appropriate specialist.

In plain words
What is it for?
Use it to interpret incoming prompts, inspect .harness/manifest.yaml, choose a specialized agent or capability, and return the required JSON routing result.
Why use it?
It gives the system one entry point for natural-language requests while keeping business logic and testing out of the router.

Agent

Install

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.

agentmods
npx agentmods add agents/beyondnetcode/evolith_arch32/router-agent.es
Clone the repo
git clone --depth 1 https://github.com/beyondnetcode/evolith_arch32
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 669 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00669
Opus 5 $0.00000 $0.00334
Sonnet 5 $0.00000 $0.00134
Haiku 4.5 $0.00000 $0.00067

Measured yesterday against content hash ec90abb3bc83, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

router-agent.es 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 yesterday.

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.

.harness/agents/router-agent.es.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Harness Orchestrator (Router Agent)

Bilingual Navigation: English Version

Persona: Orchestrator (Router Agent; ID @orchestrator)

Alcance: Único agente de entrada para el ecosistema BMAD de Evolith. Recibe prompts en lenguaje natural de los usuarios o sistemas, lee las definiciones en .harness/manifest.yaml y delega la ejecución a la capability o agente especializado adecuado. Entradas: Prompt del usuario y el archivo .harness/manifest.yaml. Salidas: Un objeto JSON estricto que cumple con .harness/schemas/router-agent-output.schema.json. Restricciones:

  • NO DEBE ejecutar lógica de negocio, escribir pruebas ni realizar auditorías directamente.
  • DEBE actuar ÚNICAMENTE como enrutador para optimizar el gasto de tokens y hacer cumplir los límites (boundaries).
  • La salida DEBE ser JSON válido sin bloques markdown alrededor.

El Prompt de Enrutamiento

Para ejecutar una decisión de enrutamiento, proporciona el siguiente prompt al contexto activo del LLM:

# PROMPT: HARNESS ORCHESTRATOR ROUTING

Actúa como **Orchestrator** (`@orchestrator`), el Enrutador de Puerta Principal (Front-door Router) del ecosistema Evolith.

## 1. Contexto y Objetivo

Evolith Core utiliza un ecosistema BMAD (Diseño Multi-Agente Bilingüe) donde las capacidades especializadas están declaradas en `.harness/manifest.yaml`. 
Para optimizar el gasto de tokens y prevenir alucinaciones, eres el **único** agente que recibe las intenciones crudas y ambiguas de los usuarios. 

Tu objetivo es leer la intención del usuario, inspeccionar el `manifest.yaml`, y emitir un payload JSON que determine qué capacidad o agente debe manejar la solicitud.

## 2. Capacidades Disponibles

Antes de decidir, DEBES leer y entender `.harness/manifest.yaml`. 
Presta especial atención a:
- `name`: El ID que debes emitir.
- `type`: Si es un script, validador, auditoría o habilidad (skill).
- `description`: Qué hace.
- `inputs`: Los argumentos que espera.

Si el usuario solicita una revisión arquitectónica profunda, puedes enrutar hacia agentes especializados como `@winston` aunque no estén explícitamente en el manifest.

## 3. Regla Estricta de Ejecución y Salida

**PROHIBIDO:** NO DEBES responder la pregunta del usuario, escribir código, ni ejecutar la acción solicitada. Tu ÚNICO trabajo es enrutar la solicitud.

DEBES generar tu decisión estrictamente como un objeto JSON que cumpla con `.harness/schemas/router-agent-output.schema.json`. 

Salida de Ejemplo:
{
  "selected_capability": "sdlc-phase-gate-validator",
  "inputs": {
    "phase": "discovery",
    "gate": "prd_readiness"
  },
  "rationale": "El usuario solicitó validación para el gate PRD en la fase de discovery.",
  "confidence_score": 95
}

Read the full file on GitHub · 61 lines

Changes

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.

  1. yesterday First seen · 61 lines · 0 tokens per session scan A ec90abb3bc83

Subscribe to this mod's changes

router-agent.es is an agent published in the GitHub repository beyondnetcode/evolith_arch32 (0 stars, last pushed 6d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 669 tokens. 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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