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Disciplined Quality Evaluation

Listed
terraphim·vlatest·other

This skill systematically assesses and ranks data based on predefined criteria, ensuring consistent and objective quality evaluations for improved decision-making.

Repository

Install on your platform

This skill no longer installs under the name disciplined-quality-evaluation. terraphim/opencode-skills is deleted or private, so it cannot be installed from.

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Repository install instructions

What we know about this skill

Publisher

terraphim

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

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scanned

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Not scanned. repository not found or private Source recorded as terraphim/opencode-skills.
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About this skill

What it does

This skill provides disciplined quality evaluation of generated text. It assesses outputs based on predefined criteria, offering structured feedback and identifying areas for improvement. The tool focuses on delivering objective assessments rather than subjective opinions to enhance the reliability of AI agent responses.

When to use it

  • Evaluating code generation results for correctness and efficiency.
  • Assessing creative writing samples (stories, poems) against specific stylistic guidelines.
  • Reviewing chatbot responses for factual accuracy and adherence to brand voice.
  • Analyzing summaries or translations for completeness and clarity.

Key capabilities

  • Objective assessment based on defined criteria.
  • Structured feedback reports.
  • Identification of areas for improvement in generated text.
  • Focus on reliability over subjective opinions.

Example prompts

  • "Evaluate this code snippet: [code]"
  • "Assess the quality of this story, focusing on plot coherence and character development."
  • "Provide a structured critique of this chatbot response regarding factual accuracy."

Tips & gotchas

The skill's effectiveness depends heavily on clearly defined evaluation criteria. Ensure these are provided upfront for accurate and relevant feedback.