| name | vote |
| description | Evaluate code changes with 4 independent AI judges (like America's Got Talent). Each judge has a unique personality and expertise. Use PROACTIVELY when asked to review, evaluate, or vote on code changes, commits, or branches. |
🎭 Code Jury
4 independent AI judges evaluate code changes — like America's Got Talent!
How It Works
- Ask for quality mode (interactive menu or parse
--mode flag)
- Select 4 random judges from 10 personality types with localized names
- Spawn 4 sub-agents in parallel with personality + name
- Aggregate results with weighted voting + consensus detection
Step-by-Step
Step 0: Choose quality mode
Check for --mode flag in user's request:
--mode lightning — 4× Haiku (швидко, дешево, для дрібних змін)--mode thorough — 4× Sonnet (ретельно, для важливих ревью)- No flag → balanced (2× Sonnet + 2× Haiku, default)
Step 1: Get the code diff
Fallback chain — try each until one works:
git diff HEAD — unstaged changes with commitsgit diff — changes vs index (no commits yet)- No
.git → ask user which files to review
Step 2: Detect language & select judges
Detect language from user's conversation context, then run:
python3 .qwen/skills/vote/scripts/select_judges.py --lang <code> --mode <mode>
Step 3: Spawn 4 sub-agents
Use .qwen/agents/jury-judge.md for ALL 4 judges (model: inherit).
Pass each judge their personality JSON + code diff.
Step 4: Aggregate results
Consensus detection:
- Extract issues from each judge's "❌ What I disliked"
- Issues mentioned by 3+ judges → consensus (high priority)
- Issues mentioned by 2 judges → shared (medium priority)
Weighted score:
sum(score_i × vote_weight_i) / sum(vote_weight_i)- Consensus penalty:
-0.3 per issue with 3+ mentions (max -1.0)
Pass threshold: weighted "Yes" >= 60% of total weight
Judge Types
| Personality | Weight | Focus |
|---|
| Strict Critic | 1.7x | Architecture, errors, security |
| Supportive Mentor | 1.0x | Potential, best practices |
| Detail-Oriented | 1.2x | Style, docs, tests, DRY |
| Creative Engineer | 1.0x | Creativity, performance |
| Security Expert | 2.0x | Vulnerabilities, validation |
| Performance Optimizer | 1.5x | Algorithms, memory, CPU |
| Testing Expert | 1.6x | Unit tests, edge cases |
| Architecture Guru | 1.8x | SOLID, patterns, modularity |
| UX Advocate | 1.1x | API design, UX |
| Maintenance Focus | 1.2x | Readability, tech debt |
Files
scripts/select_judges.py — selects 4 judges with localizationscripts/judge_profiles/*.json — 9 language profiles.qwen/agents/jury-judge.md — sub-agent for each judgejudges.json — source of truth for weights & models
