Score text output quality against predefined rubrics and thresholds.
npx skills add https://github.com/bigeasyfreeman/adlc --skill slop-judge
Please help me install this Agent Skill. Skill: slop-judge Source: https://github.com/bigeasyfreeman/adlc/tree/main/skills/slop-judge Command: npx skills add https://github.com/bigeasyfreeman/adlc --skill slop-judge
The slop-judge Skill solves the issue of subjective evaluation in text outputs, providing an objective score that helps to assess quality post-deterministic checks.
Score the text output from 'product_review.md' against the 'marketing' rubric and threshold.
High-intent search queries and answers about installing and using this skill.
Automated text output quality scoring is achieved by evaluating written content against predefined rubrics and numeric thresholds to generate an objective quality score. This process removes subjective evaluation from quality control workflows.
Rubric-based scoring for post-check validation is an automated method that assigns numeric scores to text outputs after deterministic checks complete. It compares content against predefined quality thresholds to objectively evaluate output validity.
Objective quality scoring operates independently of specific document formats, allowing you to evaluate text outputs without format constraints. It assigns numeric scores by comparing content directly against defined rubrics and thresholds.
To score text outputs after regex and pattern checks, you run a post-deterministic validation step that compares the text against predefined rubrics. This assigns a numeric quality score based on established thresholds.
Output quality control works for automating report evaluation by applying predefined rubrics and numeric thresholds to the text. This provides an objective quality score for written outputs like reports and marketing content.
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