reputation-patterns

# Reputation Patterns ## Agent Reputation Score (ARS) ```typescript interface AgentReputation { agentId: string score: number // 0-100 tier: 'S' | 'A' | 'B' | 'C' | 'D' totalTasks: number successRate: number // 0-1 firstPassRate: number // QA'den ilk seferde geçme oranı avgRetries: number specialties: string[] // Başarılı olduğu task tipleri weaknesses: string[] // Başarısız olduğu task tipleri } // Score hesaplama function calculateARS(agent: AgentReputation): number { const weights = { successRate: 0.35, firstPassRate: 0.25, consistency: 0.20, // son 10 task varyansı efficiency: 0.20 // ortalama retry sayısı } return ( agent.successRate * weights.successRate * 100 + agent.firstPassRate * weights.firstPassRate * 100 + (1 - agent.avgRetries / 3) * weights.consistency * 100 + (agent.totalTasks > 5 ? 1 : 0.5) * weights.efficiency * 100 ) } ``` ## Tier System | Tier | ARS Range | Yetki | Açıklama | |------|-----------|-------|----------| | **S** | 90-100 | Otonom | Her task'ı alabilir, QA skip | | **A** | 75-89 | Güvenilir | Çoğu task, standart QA | | **B** | 60-74 | Normal | Standart task, tam QA | | **C** | 40-59 | İzlemede | Basit task, sıkı QA | | **D** | 0-39 | Kısıtlı | Cross-training gerekli | ## Decay & Recovery ``` Decay: - 7 gün inaktif → -2 puan - 14 gün inaktif → -5 puan - QA FAIL → -5 puan (severity'ye göre) - Escalation → -10 puan Recovery: - QA PASS (first try) → +3 puan - QA PASS (retry) → +1 puan - Complex task başarı → +5 puan - Cross-training başarı → +2 puan ``` ## Task-Type Affinity ```markdown ## Agent Affinity Matrix | Agent | Frontend | Backend | DB | Security | Score | |-------|----------|---------|----|---------|----| | spark | 85 | 70 | 50 | 40 | B | | kraken | 60 | 90 | 80 | 65 | A | | frontend-dev | 95 | 30 | 20 | 30 | S(FE) | | backend-dev | 20 | 92 | 75 | 60 | S(BE) | Task assignment: Highest affinity agent with available capacity ``` ## Reliability Prediction ```python def predict_success(agent_id: str, task_type: str) -> float: """Agent'ın belirli task tipinde başarı olasılığı""" agent = get_agent(agent_id) base_rate = agent.success_rate type_affinity = agent.affinity.get(task_type, 0.5) recent_trend = agent.last_5_tasks_success_rate return (base_rate * 0.4 + type_affinity * 0.35 + recent_trend * 0.25) ``` ## Canavar Integration ```bash # Skill matrix'ten data çek cat ~/.claude/canavar/skill-matrix.json | jq '.agents[] | {name, score, tier}' # Error ledger'dan failure pattern cat ~/.claude/canavar/error-ledger.jsonl | jq 'select(.agent == "spark")' # Leaderboard node ~/.claude/hooks/dist/canavar-cli.mjs leaderboard ``` ## Checklist - [ ] Her agent'ın ARS score'u tracked - [ ] Tier assignment otomatik - [ ] Decay/recovery mekanizması aktif - [ ] Task-type affinity matrisi var - [ ] Reliability prediction kullanılıyor - [ ] Cross-training plan (D-tier agent'lar için) - [ ] Canavar error-ledger entegre ## Anti-Patterns - Tüm agent'lara eşit güvenme (reputation'a bak) - Low-tier agent'a kritik task verme - Score'u sadece success/fail'e dayandırma (context önemli) - Recovery yolu olmayan punishment