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judge-with-debate
Evaluate solutions through multi-round debate between independent judges until consensus
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Evaluate solutions through multi-round debate between independent judges until consensus
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
Review your local uncommitted working-tree changes (git diff plus untracked files) and return actionable improvement suggestions. Use before committing, when nothing has been pushed yet.
Review an existing GitHub pull request and post inline review comments on its diff. Use when the changes are on an opened PR rather than your local working tree.
Add missing test coverage for your local code changes by generating new test files (covers uncommitted and untracked changes, or the latest commit if everything is committed). Use when you want write tests for new logic or increase test coverage.
Run independent tasks concurrently across multiple files or targets using parallel sub-agents, with per-task model selection and LLM-as-a-judge verification. Use when tasks do not depend on each other and can run side by side.
Execute one complex task as ordered, dependent steps run sequentially, passing context from each step to the next, with per-step LLM-as-a-judge verification. Use when later steps depend on the results of earlier ones.
Verify what PR review comments have been addressed (committed/pushed OR uncommitted local changes) and resolve the threads that are genuinely fixed or no longer relevant.
基于 SOC 职业分类
| name | judge-with-debate |
| description | Evaluate solutions through multi-round debate between independent judges until consensus |
| argument-hint | Solution path(s) and evaluation criteria |
Key benefits:
This command implements iterative multi-judge debate:
Phase 0: Setup
mkdir -p .specs/reports
|
Phase 0.5: Dispatch Meta-Judge
Meta-Judge (Opus)
|
Evaluation Specification YAML
|
Phase 1: Independent Analysis (3 judges in parallel)
+- Judge 1 -> {name}.1.md -+
Solution +- Judge 2 -> {name}.2.md -+-+
+- Judge 3 -> {name}.3.md -+ |
|
Phase 2: Debate Round (iterative) |
Each judge reads others' reports |
| |
Argue + Defend + Challenge |
(grounded in eval specification) |
| |
Revise if convinced --------------+
| |
Check consensus |
+- Yes -> Final Report |
+- No -> Next Round ---------+
Before starting evaluation, ensure the reports directory exists:
mkdir -p .specs/reports
Report naming convention: .specs/reports/{solution-name}-{YYYY-MM-DD}.[1|2|3].md
Where:
{solution-name} - Derived from solution filename (e.g., users-api from src/api/users.ts){YYYY-MM-DD} - Current date[1|2|3] - Judge numberBefore independent analysis, dispatch a meta-judge agent to generate a tailored evaluation specification. The meta-judge runs ONCE and produces rubrics, checklists, and scoring criteria that ALL judges will use across ALL rounds.
Meta-judge prompt template:
## Task
Generate an evaluation specification yaml for the following evaluation task. You will produce rubrics, checklists, and scoring criteria that multiple judge agents will use to evaluate the solution through independent analysis and multi-round debate.
CLAUDE_PLUGIN_ROOT=`${CLAUDE_PLUGIN_ROOT}`
## User Prompt
{task description - what the solution was supposed to accomplish}
## Context
{Any relevant context about the solution being evaluated}
## Artifact Type
{code | documentation | configuration | etc.}
## Evaluation Mode
Multi-judge debate with consensus-seeking across rounds
## Instructions
Return only the final evaluation specification YAML in your response.
The specification should support both independent analysis and debate-based refinement.
Dispatch:
Use Task tool:
- description: "Meta-judge: generate evaluation specification for {solution-name}"
- prompt: {meta-judge prompt}
- model: opus
- subagent_type: "sadd:meta-judge"
Wait for the meta-judge to complete and extract the evaluation specification YAML from its output before proceeding to Phase 1.
Launch 3 independent judge agents in parallel (Opus for rigor):
.specs/reports/{solution-name}-{date}.[1|2|3].mdKey principle: Independence in initial analysis prevents groupthink.
Prompt template for initial judges:
You are Judge {N} evaluating a solution independently against an evaluation specification produced by the meta judge.
CLAUDE_PLUGIN_ROOT=`${CLAUDE_PLUGIN_ROOT}`
## Solution
{path to solution file(s)}
## Task Description
{what the solution was supposed to accomplish}
## Evaluation Specification
```yaml
{meta-judge's evaluation specification YAML}
.specs/reports/{solution-name}-{date}.{N}.md
Follow your full judge process as defined in your agent instructions!
Additional instructions:
Add to report beginning Done by Judge {N}
**Dispatch each judge:**
Use Task tool:
### Phase 2: Debate Rounds (Iterative)
For each debate round (max 3 rounds):
Launch **3 debate agents in parallel**:
1. Each judge agent receives:
- Path to their own previous report (`.specs/reports/{solution-name}-{date}.[1|2|3].md`)
- Paths to other judges' reports (`.specs/reports/{solution-name}-{date}.[1|2|3].md`)
- The original solution
- The meta-judge's evaluation specification YAML
2. Each judge:
- Identifies disagreements with other judges (>1 point score gap on any criterion)
- Defends their own ratings with evidence from the solution and evaluation specification
- Challenges other judges' ratings they disagree with
- Considers counter-arguments
- Revises their assessment if convinced
3. Updates their report file with new section: `## Debate Round {R}`
4. After they reply, if they reached agreement move to Phase 3: Consensus Report
**Key principle:** Judges communicate only through filesystem - orchestrator doesn't mediate and don't read reports files itself, it can overflow your context.
**Prompt template for debate judges:**
```markdown
You are Judge {N} in debate round {R}.
CLAUDE_PLUGIN_ROOT=`${CLAUDE_PLUGIN_ROOT}`
## Your Previous Report
{path to .specs/reports/{solution-name}-{date}.{N}.md}
## Other Judges' Reports
Judge 1: .specs/reports/{solution-name}-{date}.1.md
...
## Task Description
{what the solution was supposed to accomplish}
## Solution
{path to solution}
## Evaluation Specification
```yaml
{meta-judge's evaluation specification YAML}
.specs/reports/{solution-name}-{date}.{N}.md (append to existing file)
Follow your full judge process as defined in your agent instructions!
Additional debate instructions:
CRITICAL:
**Dispatch each debate judge:**
Use Task tool:
### Consensus Check
After each debate round, check for consensus:
**Consensus achieved if:**
- All judges' overall scores within 0.5 points of each other
- No criterion has >1 point disagreement across any two judges
- All judges explicitly state they accept the consensus
**If no consensus after 3 rounds:**
- Report persistent disagreements
- Provide all judge reports for human review
- Flag that automated evaluation couldn't reach consensus
**Orchestration Instructions:**
**Step 1: Dispatch Meta-Judge (Phase 0.5)**
1. Launch meta-judge agent
2. Wait for meta-judge to complete
3. Extract the evaluation specification YAML from meta-judge output
**Step 2: Run Independent Analysis (Phase 1)**
1. Launch 3 judge agents in parallel (Judge 1, 2, 3) with the evaluation specification YAML
2. Each writes their independent assessment to `.specs/reports/{solution-name}-{date}.[1|2|3].md`
3. Wait for all 3 agents to complete
**Step 3: Check for Consensus**
Let's work through this systematically to ensure accurate consensus detection.
Read all three reports and extract:
- Each judge's overall weighted score
- Each judge's score for every criterion
Check consensus step by step:
1. First, extract all overall scores from each report and list them explicitly
2. Calculate the difference between the highest and lowest overall scores
- If difference <= 0.5 points -> overall consensus achieved
- If difference > 0.5 points -> no consensus yet
3. Next, for each criterion, list all three judges' scores side by side
4. For each criterion, calculate the difference between highest and lowest scores
- If any criterion has difference > 1.0 point -> no consensus on that criterion
5. Finally, verify consensus is achieved only if BOTH conditions are met:
- Overall scores within 0.5 points
- All criterion scores within 1.0 point
**Step 4: Decision Point**
- **If consensus achieved**: Go to Step 6 (Generate Consensus Report)
- **If no consensus AND round < 3**: Go to Step 5 (Run Debate Round)
- **If no consensus AND round = 3**: Go to Step 7 (Report No Consensus)
**Step 5: Run Debate Round**
1. Increment round counter (round = round + 1)
2. Launch 3 judge agents in parallel with the same evaluation specification YAML
3. Each agent reads:
- Their own previous report from filesystem
- Other judges' reports from filesystem
- Original solution
4. Each agent appends "Debate Round {R}" section to their own report file
5. Wait for all 3 agents to complete
6. Go back to Step 3 (Check for Consensus)
**Step 6: Reply with Report**
Let's synthesize the evaluation results step by step.
1. Read all final reports carefully
2. Before generating the report, analyze the following:
- What is the consensus status (achieved or not)?
- What were the key points of agreement across all judges?
- What were the main areas of disagreement, if any?
- How did the debate rounds change the evaluations?
3. Reply to user with a report that contains:
- If there is consensus:
- Consensus scores (average of all judges)
- Consensus strengths/weaknesses
- Number of rounds to reach consensus
- Final recommendation with clear justification
- If there is no consensus:
- All judges' final scores showing disagreements
- Specific criteria where consensus wasn't reached
- Analysis of why consensus couldn't be reached
- Flag for human review
4. Command complete
**Step 7: Report No Consensus**
- Report persistent disagreements
- Provide all judge reports for human review
- Flag that automated evaluation couldn't reach consensus
### Phase 3: Consensus Report
If consensus achieved, synthesize the final report by working through each section methodically:
```markdown
# Consensus Evaluation Report
Let's compile the final consensus by analyzing each component systematically.
## Consensus Scores
First, let's consolidate all judges' final scores:
| Criterion | Judge 1 | Judge 2 | Judge 3 | Final |
|-----------|---------|---------|---------|-------|
| {Name} | {X}/5 | {X}/5 | {X}/5 | {X}/5 |
...
**Consensus Overall Score**: {avg}/5.0
## Consensus Strengths
[Review each judge's identified strengths and extract the common themes that all judges agreed upon]
## Consensus Weaknesses
[Review each judge's identified weaknesses and extract the common themes that all judges agreed upon]
## Debate Summary
Let's trace how consensus was reached:
- Rounds to consensus: {N}
- Initial disagreements: {list with specific criteria and score gaps}
- How resolved: {for each disagreement, explain what evidence or argument led to resolution}
## Final Recommendation
Based on the consensus scores and the key strengths/weaknesses identified:
{Pass/Fail/Needs Revision with clear justification tied to the evidence}
The command produces:
.specs/reports/ (created if not exists).specs/reports/{solution-name}-{date}.1.md, .specs/reports/{solution-name}-{date}.2.md, .specs/reports/{solution-name}-{date}.3.md/judge-with-debate Implement REST API for user management --solution "src/api/users.ts"
Phase 0.5 - Meta-Judge (assuming date 2025-01-15):
Phase 1 - Independent Analysis (3 judges receive specification):
.specs/reports/users-api-2025-01-15.1.md - Judge 1 scores correctness 4/5, security 3/5.specs/reports/users-api-2025-01-15.2.md - Judge 2 scores correctness 4/5, security 5/5.specs/reports/users-api-2025-01-15.3.md - Judge 3 scores correctness 5/5, security 4/5Disagreement detected: Security scores range from 3-5
Phase 2 - Debate Round 1 (judges reference evaluation specification):
Debate Round 1 outputs:
Debate Round 2 (same evaluation specification):
Final consensus:
Correctness: 4.3/5
Design: 4.5/5
Security: 4.0/5 (2 debate rounds to consensus)
Performance: 4.7/5
Documentation: 4.0/5
Overall: 4.3/5 - PASS