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Agentic Evaluation Patterns

porgithub·github· v1.0.0 · atualizado em 2026-04-10
80
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llm-evaluationagentic-workflowsself-improvementiterative-refinementai-feedbackcode-generation
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Documento do Skill

SKILL.mdagentic-eval/workflow
1
Generate Initial Output: — Create an initial version of the desired output based on the given task.
2
Define Evaluation Criteria: — Establish specific, measurable criteria or a rubric for assessing the output's quality.
3
Evaluate Output: — Assess the generated output against the defined criteria, identifying areas for improvement.
4
Generate Feedback: — Create feedback based on the evaluation, highlighting strengths and weaknesses.
5
Refine Output: — Modify the initial output based on the feedback, addressing identified issues.
6
Iterate: — Repeat steps 3-5 until the output meets the desired quality threshold or a maximum number of iterations is reached.

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Árvore do Skill

Agentic Evaluation Patterns
agentic-eval
Fases Cognitivas5
1.SENSE
2.CONTEXTUALIZE
3.EVALUATE
4.REFLECT
5.ACT
Triggers8
evaluate the output of an LLMimprove LLM output through self-critiqueimplement an agentic evaluation looprefine generated content based on feedbackuse an LLM to judge another LLM's outputapply a rubric to evaluate LLM outputgenerate code and test it iterativelyoptimize LLM output based on evaluation scores

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança49%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download agentic-eval
$ synaptic skills detail agentic-eval
$ synaptic skills live agentic-eval

Links

GitHub Repository