quinotospec-review

quinotospec-review is a skill for Cursor from Quinoto-Tech/QuinotoSpec. It costs 23 tokens per session (852 once invoked), scanned A, original, MIT.

A workflow for reviewing a Git branch or pull request against a task's acceptance criteria and technical proposal. A pull request is a request to merge code into another branch.

In plain words
What is it for?
Use it to inspect branch differences, list changed files, and record whether each acceptance criterion passes, fails, or needs attention.
Why use it?
It gives the review a defined checklist based on the task, proposal, project standards, and actual code changes.

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 inspect branch differences, list changed files, and record whether each acceptance criterion passes, fails, or needs attention.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-review"><img src="https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 852 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00023 $0.00852
Opus 5.5 $0.00009 $0.00341
Sonnet 5.5 $0.00005 $0.00170
Haiku 4.5 $0.00002 $0.00085

Measured 1mo ago against content hash af36cb6550fa, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

quinotospec-review 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.

agent-dist/skills/quinotospec-review/SKILL.md · 58 lines

What it actually says

Workflow: Review

Este workflow guía al agente para realizar una revisión técnica de código antes de mergear, validando contra los criterios definidos en la especificación.

Parámetros Requeridos:

  • TASK_ID: El ID de la tarea técnica asociada al branch (ej. TSK-AUTH-001).
  • BRANCH_NAME: El nombre del branch a revisar (ej. feature/TSK-AUTH-001-add-login).

Instrucciones:

  1. Contexto de la revisión:

    • Lee el archivo de tareas correspondiente al {{TASK_ID}} en .quinoto-spec/proposals/{{PROPOSAL_SLUG}}/{{US_ID}}_tasks.md.
    • Lee la propuesta en .quinoto-spec/proposals/{{PROPOSAL_SLUG}}/proposal.md, en especial las secciones de Criterios de Aceptación (DoD) y Especificación Técnica Detallada.
    • Lee 01-stack-profile.md para conocer los estándares de código del proyecto.
    • Si existe .quinoto-spec/constitution.md con estado active, lee sus principios y gates; si está ausente, registra una advertencia de compatibilidad.
  2. Análisis del branch:

    • Obtén el diff del branch contra la rama base:
      git diff main...{{BRANCH_NAME}}
      
    • Lista los archivos modificados:
      git diff --name-only main...{{BRANCH_NAME}}
      
  3. Checklist de revisión: Valida cada uno de los siguientes puntos y documenta el resultado (✅ / ❌ / ⚠️):

    • Criterios de Aceptación (DoD): ¿Cada criterio definido en la tarea está cubierto por el código?
    • Cobertura de tests: ¿Se agregaron tests para la lógica nueva? ¿Pasan correctamente?
    • Convenciones del stack: ¿El código sigue los patrones detectados en 01-stack-profile.md?
    • Archivos declarados: ¿Los archivos modificados coinciden con los declarados en la columna "Archivos a Modificar" de la tarea?
    • Sin regresiones: ¿La suite de tests completa pasa sin errores?
    • Compliance constitucional: si la constitución está activa, ¿cada principio aplicable tiene evidencia o una excepción aprobada?
    • Sin deuda técnica obvia: ¿No hay TODOs sin resolver, console.logs, o código comentado que no debería estar?
  4. Feedback recibido:

    • Si una persona, reviewer externo o bot envía comentarios, invoca quinotospec-receive-review.
    • Verifica el feedback antes de aceptarlo; no implementes cambios directamente desde este workflow.
    • Si la respuesta es correcta, aplica los cambios mediante quinotospec-apply y conserva sus gates.
    • Si el feedback viola YAGNI, falta contexto o rompe funcionalidad, responde con push back técnico.
    • Reconoce feedback corregido con Fixed. [Brief description], sin acuerdo performativo.
  5. Resultado de la revisión:

    • Si todos los puntos son ✅ → el branch está listo para mergear. Notificar al usuario.
    • Si hay ❌ o ⚠️ → generar un informe detallado de los puntos a corregir antes de mergear.

Instrucción Final OBLIGATORIA (Changelog): Una vez completada la revisión, DEBES ejecutar la skill quinotospec-update-changelog.

  • Título de la Acción: Code Review: {{TASK_ID}}
  • Resumen: Se revisó el branch '{{BRANCH_NAME}}'. Resultado: [Aprobado / Requiere Cambios]. Puntos pendientes: [lista si aplica].
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. 1mo ago Changed · +9 lines af36cb6550fa
  2. 1mo ago First seen · 49 lines · 23 tokens per session scan A 95f6698787ac

Subscribe to this mod's changes

quinotospec-review is a skill published in the GitHub repository Quinoto-Tech/QuinotoSpec (21 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 852 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 2026-09-03.

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