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verification-loop

Un sistema de verificación completo para sesiones de Claude Code. Úsalo para verificar una sesión de Claude Code.

¿Qué es verification-loop?

Esta habilidad, llamada 'Verification Loop', proporciona un proceso de verificación integral para sesiones de Claude Code. Está diseñada para ser invocada después de completar una característica o un cambio de código significativo, antes de crear un Pull Request (PR), para garantizar que se cumplan los controles de calidad, o después de refactorizar. La habilidad guía a través de seis fases de verificación: construcción, verificación de tipos, linting, suite de pruebas, escaneo de seguridad y revisión de diferencias (diff). Para cada fase, proporciona comandos CLI específicos para proyectos de JavaScript/TypeScript y Python, e instrucciones sobre cómo informar los resultados. Al finalizar, la habilidad genera un informe de verificación estructurado que muestra el estado de cada fase (PASS/FAIL) y una calificación general de 'READY/NOT READY' para PR. También admite un modo continuo que sugiere ejecutar la verificación cada 15 minutos o después de cambios importantes, y se integra con hooks de PostToolUse para una verificación más profunda.

Compatible con✓Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/verification-loop

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Documentación

Habilidad de Bucle de Verificación

Un sistema de verificación completo para sesiones de Claude Code.

Cuándo Usarlo

Invoca esta habilidad:

  • Después de completar una característica o un cambio de código significativo
  • Antes de crear un PR
  • Cuando quieras asegurarte de que se superen los controles de calidad
  • Después de refactorizar

Fases de Verificación

Fase 1: Verificación de Compilación (Build)

# Verifica si el proyecto compila
npm run build 2>&1 | tail -20
# O
pnpm build 2>&1 | tail -20

Si la compilación falla, DETENTE y corrige antes de continuar.

Fase 2: Verificación de Tipos

set -o pipefail
# Proyectos TypeScript
npx --no-install tsc --noEmit 2>&1 | head -30

# Proyectos Python
pyright . 2>&1 | head -30

Informa todos los errores de tipos. Corrige los críticos antes de continuar.

Fase 3: Verificación de Lint

# JavaScript/TypeScript
npm run lint 2>&1 | head -30

# Python
ruff check . 2>&1 | head -30

Fase 4: Suite de Pruebas

# Ejecuta pruebas con cobertura
npm run test -- --coverage 2>&1 | tail -50

# Verifica el umbral de cobertura
# Objetivo: mínimo 80%

Informa:

  • Total de pruebas: X
  • Aprobadas: X
  • Fallidas: X
  • Cobertura: X%

Fase 5: Escaneo de Seguridad

# Busca secretos
grep -rn "sk-" --include="*.ts" --include="*.js" . 2>/dev/null | head -10
grep -rn "api_key" --include="*.ts" --include="*.js" . 2>/dev/null | head -10

# Busca console.log
grep -rn "console.log" --include="*.ts" --include="*.tsx" src/ 2>/dev/null | head -10

Fase 6: Revisión de Diferencias (Diff)

# Muestra lo que cambió
git diff --stat
git diff HEAD~1 --name-only

Revisa cada archivo modificado en busca de:

  • Cambios no intencionados
  • Falta de manejo de errores
  • Posibles casos extremos

Formato de Salida

Después de ejecutar todas las fases, genera un informe de verificación:

INFORME DE VERIFICACIÓN
==================

Compilación: [PASS/FAIL]
Tipos:       [PASS/FAIL] (X errores)
Lint:        [PASS/FAIL] (X advertencias)
Pruebas:     [PASS/FAIL] (X/Y aprobadas, Z% cobertura)
Seguridad:   [PASS/FAIL] (X problemas)
Diff:        [X archivos modificados]

General:     [LISTO/NO LISTO] para PR

Problemas a corregir:
1. ...
2. ...

Modo Continuo

Para sesiones largas, ejecuta la verificación cada 15 minutos o después de cambios importantes:

Establece un punto de control mental:
- Después de completar cada función
- Después de terminar un componente
- Antes de pasar a la siguiente tarea

Ejecuta: /verify

Integración con Hooks

Esta habilidad complementa los hooks de PostToolUse pero proporciona una verificación más profunda. Los hooks detectan problemas de inmediato; esta habilidad proporciona una revisión completa.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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