Evaluate phase artifacts against specified criteria and produce pass/fail judgments.
npx skills add https://github.com/tya5/reyn --skill judge-phase
Please help me install this Agent Skill. Skill: judge_phase Source: https://github.com/tya5/reyn/tree/main/src/reyn/stdlib/skills/judge_phase Command: npx skills add https://github.com/tya5/reyn --skill judge-phase
This Skill provides a deterministic way to evaluate phase artifacts against predefined quality criteria, ensuring consistent and transparent judgment.
Use the judge_phase skill to evaluate the output artifact of a phase and check if it meets the required quality criteria.
High-intent search queries and answers about installing and using this skill.
To evaluate phase artifacts, you can use automated judgment to read structured JSON files and compare them against specified criteria, providing a transparent pass or fail decision with detailed reasons.
Automated judgment for pipeline validation is a deterministic process that assesses phase outputs against specified quality criteria, ensuring consistent evaluation by producing structured pass or fail decisions with transparent reasons.
Yes, you can use Python code to assess structured JSON artifacts for quality assurance by evaluating the artifact data against your specified criteria to generate a clear pass or fail judgment.
The best way to automatically review phase outputs before deployment is to apply deterministic evaluation criteria to your phase artifacts, verifying that quality standards are met through structured pass or fail judgments.
Yes, you need structured JSON artifacts because the automated artifact assessment requires reading structured file formats to compare the data against your specified evaluation criteria and produce a transparent judgment.
Automated evaluation produces structured judgments for phase outputs to ensure transparent and consistent quality verification, providing clear reasons and an overall pass or fail decision for every artifact assessed.
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