quinotospec-discovery

quinotospec-discovery is a skill for Cursor from Quinoto-Tech/QuinotoSpec. It costs 21 tokens per session (1,346 once invoked), scanned A, original, MIT.

A project-discovery workflow that examines a codebase and writes eight Markdown files describing its technology, architecture, interfaces, data, operations, findings, and product agreements.

In plain words
What is it for?
Use it to document the project in Spanish, list relevant files and commands, describe APIs and integrations, and add Mermaid sequence diagrams for key system flows.
Why use it?
It gives developers a shared overview of an unfamiliar project and records how to run it, how its parts connect, and where problems may exist.

Skill for Cursor

Written for Cursor: shipped in a Cursor plugin.

Part of the quinotospec plugin — 90 skills, 9 agents, 1 hook shipped together

Good fit Use it to document the project in Spanish, list relevant files and commands, describe APIs and integrations, and add Mermaid sequence diagrams for key system flows.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/quinoto-tech/quinotospec/quinotospec-discovery
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.

Any agent
npx skills add Quinoto-Tech/QuinotoSpec --skill quinotospec-discovery
Clone the repo
git clone --depth 1 https://github.com/Quinoto-Tech/QuinotoSpec

Made for: Cursor.

Or install quinotospec, the plugin that ships this one along with the rest of its 90 skills, 9 agents, 1 hook.

Wrote 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.

agentmods badge for quinotospec-discovery

README.md
[![agentmods](https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-discovery/github.svg)](https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-discovery)
Your own site
<a href="https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-discovery"><img src="https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-discovery/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.

agentmods 80×15 button for quinotospec-discovery

Your own site · 80×15
<a href="https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-discovery"><img src="https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-discovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,346 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00021 $0.01346
Opus 5.5 $0.00008 $0.00538
Sonnet 5.5 $0.00004 $0.00269
Haiku 4.5 $0.00002 $0.00135

Measured 2mo ago against content hash 6de82cdc0820, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

quinotospec-discovery 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 2mo 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.

agent-dist/skills/quinotospec-discovery/SKILL.md · 86 lines

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.

Workflow: Discovery

Explora el proyecto completo y genera 8 archivos Markdown independientes dentro de .quinoto-spec/discovery con los siguientes nombres EXACTOS (dentro del proyecto):

  • 01-stack-profile.md
  • 02-overview.md
  • 03-architecture.md
  • 04-endpoints-and-openapi.md
  • 05-data-and-services.md
  • 06-devops-ci-security.md
  • 07-findings-and-recommendations.md
  • 08-product-and-agreements.md

Instrucciones generales (aplican a todos los archivos):

  • Escribir en español, formato claro y profesional.
  • Cada archivo debe comenzar con un título H1, una breve descripción y una "ruta de guardado" al inicio, por ejemplo: "Guardar en: .quinoto-spec/discovery/02-overview.md".
  • Usar subsecciones (H2/H3) para organizar hallazgos: Resumen, Detalle, Pasos para reproducir/ejecutar, Recomendaciones.
  • Incluir listings de archivos/carpetas relevantes con rutas relativas, comandos para ejecutar la aplicación (dev/build/test), y ejemplos de salida cuando aplique.
  • Generar siempre diagramas de secuencia en Mermaid (sequenceDiagram) para los flujos principales del sistema (ej. request/response de endpoints, flujos de autenticación, integraciones externas). Para diagramas de arquitectura o ER que no se puedan inferir con certeza, usar un placeholder indicando qué debe contener.
  • Generar contenido accionable y conciso: checklists, comandos sugeridos, y prioridades (alta/media/baja).
  • Detecta y documenta frameworks, librerías y versiones (package.json, requirements, etc.).
  • Detecta y documenta pruebas automatizadas: tipos detectados (unit, integration, e2e), cómo ejecutarlas, cobertura actual si es medible (ej. --coverage), y qué áreas críticas no tienen tests. Contenido por archivo:
  1. 01-stack-profile.md
  • Skill Requerida: Ejecuta primero la skill quinotospec-stack-detect.
  • Identificación precisa del stack tecnológico (Lenguaje, Frameworks, Package Manager, Test Runner).
  • Detalla los Coding Standards detectados (ej. Service Layer, Hooks, etc.).
  1. 02-overview.md
  • Resumen ejecutivo del proyecto (qué hace, contexto, lenguaje/plataforma).
  • Información del repositorio: estructura de carpetas principales y archivos de entrada.
  • Comandos básicos (dev, build, test) y pre-requisitos de entorno.
  • Lista rápida de riesgos y puntos críticos identificados.
  1. 03-architecture.md
  • Diagrama conceptual (Mermaid placeholder) y descripción de la arquitectura (capas, módulos, responsabilidades).
  • Patrón(es) de diseño observados.
  • Diagrama de secuencia real en Mermaid (sequenceDiagram) mostrando el flujo de datos entre los componentes principales: cliente → controlador/router → servicio → repositorio/DB. Si hay integraciones externas, incluirlas.
  • Componentes reutilizables e integraciones internas.
  1. 04-endpoints-and-openapi.md
  • Mapeo de endpoints REST y GraphQL detectados (ruta, método, parámetros, respuesta esperada).
  • Generar un OpenAPI/Swagger mínimo (YAML o JSON) con los endpoints principales detectados y ejemplos de request/response.
  • Notas sobre autenticación/autorización en endpoints.
  • Recomendaciones para pruebas de integración de API.
  1. 05-data-and-services.md
  • Documentación de bases de datos y esquemas (tablas/colecciones principales, campos importantes).
  • Servicios externos integrados y sus propósitos (APIs, proveedores, SDKs).
  • Estructura de estado global (si aplica) y modelos de datos.
  • Scripts de migración, seeds, y acceso a datos (cómo correrlos).
  1. 06-devops-ci-security.md
  • Configuración de entorno de desarrollo y variables sensibles requeridas.
  • Pipelines de CI/CD detectados (GitHub Actions, GitLab CI, etc.) y pasos de despliegue.
  • Scripts de automatización y cron jobs detectados.
  • Revisión rápida de prácticas de seguridad (gestión de secretos, políticas CORS, validaciones).
  • Auditoría de dependencias: ejecutar o documentar el comando de auditoría correspondiente al stack (npm audit, pip-audit, bundle audit, etc.) y listar las vulnerabilidades críticas o altas encontradas con su CVE si está disponible.
  • Estrategias de backup, versionado y recuperación respecto a datos y despliegues.

Read the full file on GitHub · 86 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. 2mo ago First seen · 86 lines · 21 tokens per session scan A 6de82cdc0820

Subscribe to this mod's changes

quinotospec-discovery is a skill published in the GitHub repository Quinoto-Tech/QuinotoSpec (21 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 1,346 once invoked, about $0.0001 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.