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Do And Judge

porneolabhq·neolabhq· v1.0.0 · atualizado em 2026-04-10
79
Score

Executes a task using a sub-agent implementation and verifies the results with an LLM-as-a-judge approach, incorporating an automatic retry loop for improved reliability.

llmai-agentverificationself-critiqueretryprompt-engineeringquality-assurance
Linguagens
TypeScriptJavaScriptPythonJavaC#
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Documento do Skill

SKILL.mdsadd-do-and-judge/workflow
1. Analyze the task and select the optimal LLM model and agent.
2. Dispatch the implementation sub-agent with a structured prompt.
3. Dispatch the judge agent to verify the implementation.
4. Parse the judge's verdict, score, and identified issues.
5. If the score is below the threshold and retries are available, retry with feedback.
6. If the score is above the threshold or max retries are exceeded, report the final results.
7. If max retries are exceeded, escalate to the user for a decision.

Telemetria de Agentes

Execuções
0
total
Taxa de Sucesso
0%
últimos 30d
Latência Média
0.0s
p50
Alucinação
0.0%
detecção
Tokens Entrada
0
avg 0/exec
Tokens Saída
0
avg 0/exec

Uso por Plataforma

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Árvore do Skill

Do And Judge
sadd-do-and-judge
Fases Cognitivas5
1.SENSE
2.CONTEXTUALIZE
3.ACT
4.EVALUATE
5.REFLECT
Triggers7
execute a task with llm verificationimplement a task with judge feedbackrun a task and verify the outputperform a task with llm-as-a-judgeexecute a task with automatic retry loopimplement a feature with llm quality controlcomplete a task with external verification

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança50%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download sadd-do-and-judge
$ synaptic skills detail sadd-do-and-judge
$ synaptic skills live sadd-do-and-judge

Links

GitHub Repository