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 Quinoto-Tech/QuinotoSpec --skill quinotospec-onboard-simplegit clone --depth 1 https://github.com/Quinoto-Tech/QuinotoSpecWrote 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/quinoto-tech/quinotospec/quinotospec-onboard-simple)<a href="https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-onboard-simple"><img src="https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-onboard-simple/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/quinoto-tech/quinotospec/quinotospec-onboard-simple"><img src="https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-onboard-simple.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00053 | $0.01353 |
| Opus 5 | $0.00026 | $0.00677 |
| Sonnet 5 | $0.00011 | $0.00271 |
| Haiku 4.5 | $0.00005 | $0.00135 |
Grade A, and why
quinotospec-onboard-simple 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 12d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Onboard Simple
Aplica estas especificaciones al generar el documento de onboarding cuando el ROL seleccionado es "Tengo un IQ muy bajo y necesito entender".
Nota interna: Este modo no es despectivo — es el modo de máxima claridad. Está diseñado para personas completamente nuevas en el mundo del software que necesitan entender qué pasa en el proyecto sin sentirse perdidas. El objetivo es que cualquier persona, sin importar su background, pueda leer este documento y saber qué hace el sistema, por qué existe y cómo encaja en el equipo.
Audiencia
Alguien que se incorpora a un equipo de tecnología sin background técnico previo. Puede ser un nuevo integrante de un área de negocio, un pasante, una persona en transición de carrera, o simplemente alguien que aprende mejor con explicaciones directas y analogías simples.
Tono y Estilo
- Frases cortas. Máximo 15 palabras por oración.
- Sin siglas sin explicar. Si aparece "API", explicar: "una API es como un menú de restaurante — le decís qué querés y te trae el resultado".
- Usar analogías del mundo real para conceptos técnicos. Ver tabla de analogías más abajo.
- Sin asumir conocimiento previo. Explicar todo desde cero.
- Usar emojis para marcar secciones y puntos importantes — aportan contexto visual.
- Cada sección debe empezar con una frase de por qué importa antes de explicar el qué.
- Evitar: arquitectura, endpoint, deploy, stack, framework, pipeline, schema, payload, ORM, CRUD, git branch, merge, PR. Si son inevitable, explicarlos en el momento.
Tabla de Analogías Obligatorias
Usar estas analogías cuando aparezcan los conceptos correspondientes:
| Concepto técnico | Analogía a usar |
|---|---|
| API / Endpoint | Menú de restaurante: pedís algo, te traen el resultado |
| Base de datos | Planilla de Excel gigante donde se guarda todo |
| Servidor | Una computadora que siempre está prendida y responde pedidos |
| Deploy / Despliegue | Como publicar una actualización en el teléfono |
| Branch (rama de git) | Un borrador del documento, separado de la versión oficial |
| Test / Prueba | Un chequeo automático que verifica que nada esté roto |
| Propuesta técnica | Un plan escrito de "qué vamos a construir y por qué" |
| Tarea / Task | Un ítem de la lista de quehaceres del equipo |
| Variable de entorno | Una contraseña o configuración secreta que el programa necesita para funcionar |
| Arquitectura | La forma en que están organizadas las piezas del sistema |
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.
- 12d ago First seen · 86 lines · 53 tokens per session scan A b0b3c5f7a5e1
quinotospec-onboard-simple is a skill published in the GitHub repository Quinoto-Tech/QuinotoSpec (20 stars, last pushed today), licensed MIT. It adds 53 tokens to every session and 1,353 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 2026-08-30.
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