Judge

NeoLabHQ/context-engineering-kit/antigravity/skills/judge

by NeoLabHQ23e2428e809d77717f8acc9659c374a3a1fcb93eNo licenseListed Oct 9, 2026Updated Oct 9, 2026

Launch a meta-judge then a judge sub-agent to evaluate results produced in the current conversation

Instructions onlyAI & Agents

AI-generated overview

Runs a two-phase meta-judge then judge pipeline to score work produced earlier in the conversation and report findings.

What it does: This skill coordinates an evaluation pipeline: it extracts the work to be assessed from the conversation, dispatches a meta-judge sub-agent to generate a tailored evaluation specification with rubrics and scoring criteria, then dispatches a judge sub-agent that applies those criteria with isolated context. It validates the returned evaluation, maps the weighted score to a verdict band, and presents a report-only result with evidence-based feedback and follow-up options.
When to use it: Use it when completed work in the current conversation needs an independent, structured quality assessment, such as code changes, analysis, or documentation. It suits situations where you want rubric-based scoring with cited evidence rather than informal review.
Requirements: Instructions only; no scripts ship with the skill. It relies on the agent's Task tool and two sub-agent types (sadd:meta-judge and sadd:judge) run on the opus model, plus a resolved CLAUDE_PLUGIN_ROOT path.

Judge Command

<task>

You are a coordinator launching a two-phase evaluation pipeline to assess work produced earlier in this conversation. First, a meta-judge generates tailored evaluation criteria. Then, a judge sub-agent applies those criteria with isolated context, structured scoring, and evidence-based feedback. The evaluation is report-only - findings are presented without automatic changes.

</task>

<context>

This command implements the meta-judge -> LLM-as-Judge pattern with context isolation:

Structured Evaluation: Meta-judge produces tailored rubrics, checklists, and scoring criteria before judging
Context Isolation: Judge operates with fresh context, preventing confirmation bias from accumulated session state
Evidence-Based: Every score requires specific citations from the work (file locations, line numbers)
Multi-Dimensional Rubric: Generated by meta-judge to match the specific artifact type and evaluation focus
Self-Verification: Dynamic verification questions with documented adjustments

</context>

Your Workflow

Phase 1: Context Extraction

Before launching the evaluation pipeline, identify what needs evaluation:

Identify the work to evaluate:
- Review conversation history for completed work
- If arguments provided: Use them to focus on specific aspects
- If unclear: Ask user "What work should I evaluate? (code changes, analysis, documentation, etc.)"
Extract evaluation context:
- Original task or request that prompted the work
- The actual output/result produced
- Files created or modified (with brief descriptions)
- Any constraints, requirements, or acceptance criteria mentioned
- Artifact type (code, documentation, configuration, etc.)

Provide scope for user:

Evaluation Scope:- Original request: [summary]- Work produced: [description]- Files involved: [list]- Artifact type: [code | documentation | configuration | etc.]- Evaluation focus: [from arguments or "general quality"]
Launching meta-judge to generate evaluation criteria...

Evaluation Scope:- Original request: [summary]- Work produced: [description]- Files involved: [list]- Artifact type: [code | documentation | configuration | etc.]- Evaluation focus: [from arguments or "general quality"]
Launching meta-judge to generate evaluation criteria...

IMPORTANT: Pass only the extracted context to the sub-agents - not the entire conversation. This prevents context pollution and enables focused assessment.

Phase 2: Dispatch Meta-Judge

Launch a meta-judge agent to generate an evaluation specification tailored to the specific work being evaluated. The meta-judge will return an evaluation specification YAML containing rubrics, checklists, and scoring criteria.

Meta-Judge Prompt:

markdown

## Task
Generate an evaluation specification yaml for the following evaluation task. You will produce rubrics, checklists, and scoring criteria that a judge agent will use to evaluate the work.
CLAUDE_PLUGIN_ROOT=`${CLAUDE_PLUGIN_ROOT}`
## User Prompt{Original task or request that prompted the work}
## Context{Any relevant context about the work being evaluated}{Evaluation focus from arguments, or "General quality assessment"}
## Artifact Type{code | documentation | configuration | etc.}
## InstructionsReturn only the final evaluation specification YAML in your response.

## Task
Generate an evaluation specification yaml for the following evaluation task. You will produce rubrics, checklists, and scoring criteria that a judge agent will use to evaluate the work.
CLAUDE_PLUGIN_ROOT=`${CLAUDE_PLUGIN_ROOT}`
## User Prompt{Original task or request that prompted the work}
## Context{Any relevant context about the work being evaluated}{Evaluation focus from arguments, or "General quality assessment"}
## Artifact Type{code | documentation | configuration | etc.}
## InstructionsReturn only the final evaluation specification YAML in your response.

Dispatch:

Use Task tool:  - description: "Meta-judge: Generate evaluation criteria for {brief work summary}"  - prompt: {meta-judge prompt}  - model: opus  - subagent_type: "sadd:meta-judge"

Use Task tool:  - description: "Meta-judge: Generate evaluation criteria for {brief work summary}"  - prompt: {meta-judge prompt}  - model: opus  - subagent_type: "sadd:meta-judge"

Wait for the meta-judge to complete before proceeding to Phase 3.

Phase 3: Dispatch Judge Agent

After the meta-judge completes, extract its evaluation specification YAML and dispatch the judge agent with both the work context and the specification.

CRITICAL: Provide to the judge the EXACT meta-judge evaluation specification YAML. Do not skip, add, modify, shorten, or summarize any text in it!

Judge Agent Prompt:

markdown

You are an Expert Judge evaluating the quality of work against an evaluation specification produced by the meta judge.
CLAUDE_PLUGIN_ROOT=`${CLAUDE_PLUGIN_ROOT}`
## Work Under Evaluation
[ORIGINAL TASK]{paste the original request/task}[/ORIGINAL TASK]
[WORK OUTPUT]{summary of what was created/modified}[/WORK OUTPUT]
[FILES INVOLVED]{list of files with brief descriptions}[/FILES INVOLVED]
## Evaluation Specification
```yaml{meta-judge's evaluation specification YAML}

You are an Expert Judge evaluating the quality of work against an evaluation specification produced by the meta judge.
CLAUDE_PLUGIN_ROOT=`${CLAUDE_PLUGIN_ROOT}`
## Work Under Evaluation
[ORIGINAL TASK]{paste the original request/task}[/ORIGINAL TASK]
[WORK OUTPUT]{summary of what was created/modified}[/WORK OUTPUT]
[FILES INVOLVED]{list of files with brief descriptions}[/FILES INVOLVED]
## Evaluation Specification
```yaml{meta-judge's evaluation specification YAML}

Instructions

Follow your full judge process as defined in your agent instructions!

CRITICAL: You must reply with this exact structured evaluation report format in YAML at the START of your response!


CRITICAL: NEVER provide score threshold to judges in any format. Judge MUST not know what threshold for score is, in order to not be biased!!!
**Dispatch:**


CRITICAL: NEVER provide score threshold to judges in any format. Judge MUST not know what threshold for score is, in order to not be biased!!!
**Dispatch:**

Use Task tool:

description: "Judge: Evaluate {brief work summary}"
prompt: {judge prompt with exact meta-judge specification YAML}
model: opus
subagent_type: "sadd:judge"


### Phase 4: Process and Present Results
After receiving the judge's evaluation:
1. **Validate the evaluation**:   - Check that all criteria have scores in valid range (1-5)   - Verify each score has supporting justification with evidence   - Confirm weighted total calculation is correct   - Check for contradictions between justification and score   - Verify self-verification was completed with documented adjustments
2. **If validation fails**:   - Note the specific issue   - Request clarification or re-evaluation if needed
3. **Present results to user**:   - Display the full evaluation report   - Highlight the verdict and key findings   - Offer follow-up options:     - Address specific improvements     - Request clarification on any judgment     - Proceed with the work as-is
## Scoring Interpretation
| Score Range | Verdict | Interpretation | Recommendation ||-------------|---------|----------------|----------------|| 4.50 - 5.00 | EXCELLENT | Exceptional quality, exceeds expectations | Ready as-is || 4.00 - 4.49 | GOOD | Solid quality, meets professional standards | Minor improvements optional || 3.50 - 3.99 | ACCEPTABLE | Adequate but has room for improvement | Improvements recommended || 3.00 - 3.49 | NEEDS IMPROVEMENT | Below standard, requires work | Address issues before use || 1.00 - 2.99 | INSUFFICIENT | Does not meet basic requirements | Significant rework needed |
## Important Guidelines
1. **Meta-judge first**: Always generate evaluation specification before judging - never skip the meta-judge phase2. **Include CLAUDE_PLUGIN_ROOT**: Both meta-judge and judge need the resolved plugin root path3. **Meta-judge YAML**: Pass only the meta-judge YAML to the judge, do not modify it4. **Context Isolation**: Pass only relevant context to sub-agents - not the entire conversation5. **Justification First**: Always require evidence and reasoning BEFORE the score6. **Evidence-Based**: Every score must cite specific evidence (file paths, line numbers, quotes)7. **Bias Mitigation**: Explicitly warn against length bias, verbosity bias, and authority bias8. **Be Objective**: Base assessments on evidence and rubric definitions, not preferences9. **Be Specific**: Cite exact locations, not vague observations10. **Be Constructive**: Frame criticism as opportunities for improvement with impact context11. **Consider Context**: Account for stated constraints, complexity, and requirements12. **Report Confidence**: Lower confidence when evidence is ambiguous or criteria unclear13. **Single Judge**: This command uses one focused judge for context isolation
## Notes
- This is a **report-only** command - it evaluates but does not modify work- The meta-judge generates criteria tailored to the specific artifact type and evaluation focus- The judge operates with fresh context for unbiased assessment- Scores are calibrated to professional development standards- Low scores indicate improvement opportunities, not failures- Use the evaluation to inform next steps and iterations- Low confidence evaluations may warrant human review


### Phase 4: Process and Present Results
After receiving the judge's evaluation:
1. **Validate the evaluation**:   - Check that all criteria have scores in valid range (1-5)   - Verify each score has supporting justification with evidence   - Confirm weighted total calculation is correct   - Check for contradictions between justification and score   - Verify self-verification was completed with documented adjustments
2. **If validation fails**:   - Note the specific issue   - Request clarification or re-evaluation if needed
3. **Present results to user**:   - Display the full evaluation report   - Highlight the verdict and key findings   - Offer follow-up options:     - Address specific improvements     - Request clarification on any judgment     - Proceed with the work as-is
## Scoring Interpretation
| Score Range | Verdict | Interpretation | Recommendation ||-------------|---------|----------------|----------------|| 4.50 - 5.00 | EXCELLENT | Exceptional quality, exceeds expectations | Ready as-is || 4.00 - 4.49 | GOOD | Solid quality, meets professional standards | Minor improvements optional || 3.50 - 3.99 | ACCEPTABLE | Adequate but has room for improvement | Improvements recommended || 3.00 - 3.49 | NEEDS IMPROVEMENT | Below standard, requires work | Address issues before use || 1.00 - 2.99 | INSUFFICIENT | Does not meet basic requirements | Significant rework needed |
## Important Guidelines
1. **Meta-judge first**: Always generate evaluation specification before judging - never skip the meta-judge phase2. **Include CLAUDE_PLUGIN_ROOT**: Both meta-judge and judge need the resolved plugin root path3. **Meta-judge YAML**: Pass only the meta-judge YAML to the judge, do not modify it4. **Context Isolation**: Pass only relevant context to sub-agents - not the entire conversation5. **Justification First**: Always require evidence and reasoning BEFORE the score6. **Evidence-Based**: Every score must cite specific evidence (file paths, line numbers, quotes)7. **Bias Mitigation**: Explicitly warn against length bias, verbosity bias, and authority bias8. **Be Objective**: Base assessments on evidence and rubric definitions, not preferences9. **Be Specific**: Cite exact locations, not vague observations10. **Be Constructive**: Frame criticism as opportunities for improvement with impact context11. **Consider Context**: Account for stated constraints, complexity, and requirements12. **Report Confidence**: Lower confidence when evidence is ambiguous or criteria unclear13. **Single Judge**: This command uses one focused judge for context isolation
## Notes
- This is a **report-only** command - it evaluates but does not modify work- The meta-judge generates criteria tailored to the specific artifact type and evaluation focus- The judge operates with fresh context for unbiased assessment- Scores are calibrated to professional development standards- Low scores indicate improvement opportunities, not failures- Use the evaluation to inform next steps and iterations- Low confidence evaluations may warrant human review

Source and attribution

Source:NeoLabHQ/context-engineering-kitinantigravity/skills/judgeat commit23e2428

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

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Judge

Judge Command

Your Workflow

Phase 1: Context Extraction

Phase 2: Dispatch Meta-Judge

Phase 3: Dispatch Judge Agent

Instructions

Source and attribution

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