skill-sentinel

Auditoria e evolucao do ecossistema de skills. Qualidade de codigo, seguranca, custos, gaps, duplicacoes, dependencias e relatorios de saude.

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Install skill "skill-sentinel" with this command: npx skills add sickn33/antigravity-awesome-skills/sickn33-antigravity-awesome-skills-skill-sentinel

Skill Sentinel

Overview

Auditoria e evolucao do ecossistema de skills. Qualidade de codigo, seguranca, custos, gaps, duplicacoes, dependencias e relatorios de saude.

When to Use This Skill

  • When the user mentions "auditar skills" or related topics
  • When the user mentions "qualidade skills" or related topics
  • When the user mentions "verificar skills ecossistema" or related topics
  • When the user mentions "saude ecossistema skills" or related topics
  • When the user mentions "skills duplicadas" or related topics
  • When the user mentions "otimizar skills" or related topics

Do Not Use This Skill When

  • The task is unrelated to skill sentinel
  • A simpler, more specific tool can handle the request
  • The user needs general-purpose assistance without domain expertise

How It Works

Meta-agente que monitora, audita e evolui o ecossistema de skills. Analisa todas as skills em 7 dimensoes, identifica problemas, sugere melhorias e recomenda novas skills especialistas.

Resumo Rapido

AreaScriptO que faz
Discoveryscanner.pyDescobre todas as skills automaticamente
Qualidadeanalyzers/code_quality.pyComplexidade, docstrings, error handling
Segurancaanalyzers/security.pySecrets, SQL injection, HTTPS
Performanceanalyzers/performance.pyAPI calls, caching, retry
Governancaanalyzers/governance_audit.pyRate limits, audit log, confirmacoes
Documentacaoanalyzers/documentation.pySKILL.md, triggers, references
Dependenciasanalyzers/dependencies.pyrequirements.txt, versoes
Cross-Skillanalyzers/cross_skill.pyDuplicacao, padroes compartilhados
Custoscost_optimizer.pyTokens, verbosidade, output
Recomendacoesrecommender.pyGap analysis, novas skills
Relatorioreport_generator.pyMarkdown estruturado
Orquestracaorun_audit.pyCLI principal

Localizacao

C:\Users\renat\skills\skill-sentinel\
├── SKILL.md
├── scripts/
│   ├── requirements.txt
│   ├── config.py
│   ├── db.py
│   ├── governance.py
│   ├── scanner.py
│   ├── analyzers/
│   │   ├── code_quality.py
│   │   ├── security.py
│   │   ├── performance.py
│   │   ├── governance_audit.py
│   │   ├── documentation.py
│   │   ├── dependencies.py
│   │   └── cross_skill.py
│   ├── recommender.py
│   ├── cost_optimizer.py
│   ├── report_generator.py
│   └── run_audit.py
├── references/
│   ├── analysis_criteria.md
│   ├── security_patterns.md
│   ├── skill_template.md
│   └── schema.md
└── data/
    ├── sentinel.db
    └── reports/

Instalacao

pip install -r C:\Users\renat\skills\skill-sentinel\scripts\requirements.txt

Comandos Principais


## Auditoria Completa De Todas As Skills

python C:\Users\renat\skills\skill-sentinel\scripts\run_audit.py

## Auditar Apenas Uma Skill

python C:\Users\renat\skills\skill-sentinel\scripts\run_audit.py --skill instagram

## Apenas Recomendacoes De Novas Skills

python C:\Users\renat\skills\skill-sentinel\scripts\run_audit.py --recommend

## Comparar Com Auditoria Anterior (Tendencias)

python C:\Users\renat\skills\skill-sentinel\scripts\run_audit.py --compare

## Output Em Json (Para Processamento)

python C:\Users\renat\skills\skill-sentinel\scripts\run_audit.py --format json

## Ver Historico De Auditorias

python C:\Users\renat\skills\skill-sentinel\scripts\run_audit.py --history

## Descobrir Skills Disponiveis

python C:\Users\renat\skills\skill-sentinel\scripts\scanner.py

## Ver Audit Log Do Sentinel

python C:\Users\renat\skills\skill-sentinel\scripts\governance.py

## Verificar Banco De Dados

python C:\Users\renat\skills\skill-sentinel\scripts\db.py

1. Qualidade De Codigo (Peso: 20%)

  • Complexidade ciclomatica por funcao (limiar: 10)
  • Tamanho de funcoes (limiar: 50 linhas)
  • Tamanho de arquivos (limiar: 500 linhas)
  • Cobertura de docstrings
  • Padroes de error handling (bare except, broad except)

2. Seguranca (Peso: 20%)

  • Secrets hardcoded (tokens, passwords, API keys)
  • SQL injection (f-strings em queries)
  • URLs HTTP inseguras
  • Tokens em logs
  • Validacao de input

3. Performance (Peso: 15%)

  • Retry com backoff para APIs
  • Timeouts configurados
  • Reuso de conexoes HTTP
  • N+1 queries
  • Async/concorrencia

4. Governanca (Peso: 15%)

  • Nivel 0: Nenhuma
  • Nivel 1: Action logging
  • Nivel 2: Logging + rate limiting
  • Nivel 3: Completa (+ confirmacoes 2-step)
  • Nivel 4: Avancada (+ alertas e trends)

5. Documentacao (Peso: 15%)

  • SKILL.md com frontmatter (name, description, version)
  • Trigger keywords (PT-BR e EN)
  • Secoes obrigatorias e recomendadas
  • Reference files

6. Dependencias (Peso: 15%)

  • requirements.txt presente
  • Versoes pinadas
  • Deps importadas vs listadas
  • Deps listadas vs importadas

7. Cross-Skill (Analise Global)

  • Modulos duplicados entre skills
  • Padroes de Database compartilhados
  • Governanca inconsistente
  • Oportunidades de extracao

Otimizacao De Custos

Alem das 7 dimensoes, o sentinel analisa impacto de custo:

  • Tamanho do SKILL.md (tokens consumidos por ativacao)
  • References grandes sem indice
  • Output verboso dos scripts
  • Ausencia de output JSON estruturado

Gap Analysis E Recomendacoes

O recommender identifica capacidades ausentes no ecossistema comparando com uma taxonomia de 20 categorias e gera templates de SKILL.md prontos para novas skills sugeridas.

Governanca Do Sentinel

O proprio sentinel pratica o que prega:

  • Todas as auditorias sao registradas em action_log
  • Historico de scores em score_history para tendencias
  • Relatorios salvos em data/reports/

Workflows Comuns

1. Primeira auditoria do ecossistema:

python run_audit.py

Gera relatorio completo com scores, findings e recomendacoes.

2. Monitorar evolucao ao longo do tempo:

python run_audit.py --compare

Mostra delta de scores entre auditorias.

3. Validar uma skill antes de deploy:

python run_audit.py --skill nome-da-skill

Auditoria focada com findings especificos.

4. Identificar proxima skill a criar:

python run_audit.py --recommend

Gap analysis com templates prontos.

Formato Do Relatorio

O relatorio gerado em data/reports/ contem:

  1. Resumo executivo (tabela de scores)
  2. Tendencias (se houver auditoria anterior)
  3. Findings por severidade (critico/alto/medio/baixo/info)
  4. Analise por skill (detalhada)
  5. Recomendacoes de novas skills
  6. Plano de acao priorizado

Referencias

Para detalhes tecnicos, consultar:

  • references/analysis_criteria.md - Rubricas de scoring
  • references/security_patterns.md - Padroes de seguranca
  • references/skill_template.md - Template para novas skills
  • references/schema.md - Schema do banco de dados

Best Practices

  • Provide clear, specific context about your project and requirements
  • Review all suggestions before applying them to production code
  • Combine with other complementary skills for comprehensive analysis

Common Pitfalls

  • Using this skill for tasks outside its domain expertise
  • Applying recommendations without understanding your specific context
  • Not providing enough project context for accurate analysis

Related Skills

  • skill-installer - Complementary skill for enhanced analysis

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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