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 betobetico/claude-para-abogados --skill evaluaciongit clone --depth 1 https://github.com/betobetico/claude-para-abogadosWrote 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/betobetico/claude-para-abogados/evaluacion)<a href="https://agentmods.dev/skills/betobetico/claude-para-abogados/evaluacion"><img src="https://agentmods.dev/badge/skills/betobetico/claude-para-abogados/evaluacion/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/betobetico/claude-para-abogados/evaluacion"><img src="https://agentmods.dev/badge/skills/betobetico/claude-para-abogados/evaluacion.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 | $0.00078 | $0.01848 |
| Opus 5.5 | $0.00031 | $0.00739 |
| Sonnet 5.5 | $0.00016 | $0.00370 |
| Haiku 4.5 | $0.00008 | $0.00185 |
Grade A, and why
evaluacion 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 1mo 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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/evaluacion
- Cargar
~/.claude/plugins/config/claude-para-abogados/gobernanza-ia/CLAUDE.md→ registro de sistemas, formato house, proceso. - Verificar si existe triaje previo (
/gobernanza-ia:triaje). Si no, ejecutar triaje primero. - Recopilar información detallada del sistema.
- Generar la evaluación de impacto.
- Evaluar medidas de mitigación.
/gobernanza-ia:evaluacion
Sistema de scoring crediticio automatizado para aprobación de préstamos
al consumo — clasificado como alto riesgo en triaje previo.
Propósito
El Reglamento de IA exige que los deployers de sistemas de alto riesgo en determinados ámbitos realicen una evaluación de impacto en derechos fundamentales (art. 27 RIA) antes de poner el sistema en uso. Además, los proveedores de sistemas de alto riesgo deben implementar un sistema de gestión de riesgos (art. 9). Este skill genera la evaluación completa cubriendo ambos regímenes.
Estructura de la evaluación
1. Descripción del sistema
| Campo | Contenido |
|---|---|
| Nombre del sistema | [nombre] |
| Proveedor | [nombre del proveedor] |
| Versión | [número de versión] |
| Nuestro rol | [Proveedor / Deployer / Ambos] |
| Clasificación de riesgo | [Resultado del triaje — art. y Anexo] |
| Finalidad prevista | [uso concreto que daremos al sistema] |
| Ámbito de despliegue | [dónde y para quién] |
| Datos de entrada | [qué datos consume el sistema] |
| Datos de salida | [qué produce: decisiones, recomendaciones, clasificaciones] |
| Grado de autonomía | [Totalmente autónomo / Decisión de apoyo / Humano en el bucle] |
| Escala | [Número estimado de personas afectadas] |
2. Evaluación de impacto en derechos fundamentales (art. 27 RIA)
Obligatoria para deployers de alto riesgo que sean organismos de derecho público o entidades privadas que presten servicios públicos, y en áreas de empleo, servicios esenciales (crédito, seguros, servicios sociales) y fuerzas de seguridad.
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.
- 1mo ago First seen · 161 lines · 78 tokens per session scan A 2c7605f66b7b
evaluacion is a skill published in the GitHub repository betobetico/claude-para-abogados (44 stars, last pushed 27d ago), licensed Apache-2.0. It adds 78 tokens to every session and 1,848 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 2026-08-30.
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