sadd:judge

Launch a sub-agent judge to evaluate conversation results with evidence-based scoring.

Updated Mar 4, 2026
One-click install
npx skills add https://github.com/dalawwa/labor-methods --skill sadd-judge
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sadd:judge
Source: https://github.com/dalawwa/labor-methods/tree/main/.cek/plugins/sadd/skills/judge
Command: npx skills add https://github.com/dalawwa/labor-methods --skill sadd-judge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables rapid, isolated evaluation of work produced during a conversation by deploying a sub-agent judge that provides structured, evidence-based feedback and scoring.

Core Features & Use Cases

  • Context Isolation: Judge runs in a fresh context to prevent prior session biases from influencing assessment.
  • Evidence-Based Scoring: Every score requires citations from the work (file locations and line references).
  • Multi-Dimensional Rubric: Uses weighted criteria with clear level descriptions to guide evaluation.
  • Self-Verification: Includes dynamic verification questions and documented adjustments.
  • Report-Only Output: Findings are provided without making automatic changes.

Quick Start

Launch the judge sub-agent to evaluate the latest work produced in the conversation.

Frequently Asked Questions about sadd:judge

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I evaluate code or documentation produced in a conversation without bias?

Launch a sub-agent judge to evaluate results produced in the current conversation. It runs in a fresh, isolated context to prevent prior session biases from influencing the structured assessment.

What is evidence-based scoring and how does it work for evaluation rubrics?

Evidence-based scoring requires every score to include citations from the work, such as file locations and line references. This ensures all evaluation feedback is grounded in specific, verifiable evidence rather than subjective judgment.

How do I get structured feedback on my analysis using a multi-dimensional rubric?

Launch the judge sub-agent to evaluate your latest analysis. It applies a multi-dimensional rubric with weighted criteria and clear level descriptions, performing self-verification before delivering a report-only outcome.

Can I use this evaluation approach for code, analysis, and documentation?

Yes, this skill is applicable to evaluating code, analysis, or documentation across isolated contexts. It deploys a sub-agent judge that provides structured, evidence-based feedback for these varied work types.

Does the judge sub-agent automatically modify work after evaluation?

No, the judge sub-agent provides a report-only outcome. It delivers findings and structured feedback without making any automatic changes to the evaluated code, analysis, or documentation.

What's the best way to ensure evaluation feedback is accurate and verifiable?

Use a sub-agent judge that enforces context isolation, evidence-based scoring, and self-verification. This approach includes dynamic verification questions and documented adjustments to ensure accurate, verifiable feedback.