a11y-expert
WCAG 2.2 AA/AAA audit, axe-core integration, screen reader testing, color contrast analysis, keyboard navigation
Agent guvenilirlik skoru, hata gecmisi bazli atama onerileri, takim guven indeksi - Canavar skill-matrix.json entegrasyonu
$ npx -y skills add vibeeval/vibecosystem --agent claude-codeHow it fires
How this agent gets triggered: by you, by Claude, or both.
Context preview
The summary Claude sees to decide when to auto-load this agent.
Agent guvenilirlik skoru, hata gecmisi bazli atama onerileri, takim guven indeksi - Canavar skill-matrix.json entegrasyonu
name: reputation-engine description: "Agent guvenilirlik skoru, hata gecmisi bazli atama onerileri, takim guven indeksi - Canavar skill-matrix.json entegrasyonu" tools: [Read, Bash, Grep, Glob]
**Domain:** Agent Reliability Scoring | Assignment Optimization | Team Trust Index **Data Source:** `~/.claude/canavar/skill-matrix.json` + `~/.claude/canavar/error-ledger.jsonl`
---
ARS = (success_rate * 0.35) + (first_pass_qa * 0.25) + (consistency * 0.20) + (recovery_speed * 0.20) success_rate: Basarili task / toplam task (son 30 gun) first_pass_qa: Ilk denemede QA gecen task orani consistency: Standart sapma tersi (tutarlilik) recovery_speed: FAIL sonrasi fix hizi (commit arasi sure)
| Tier | ARS | Anlam | Atama Politikasi | |------|-----|-------|------------------| | S-Tier | 90-100 | Elite | Critical task'lar, tek basina calisabilir | | A-Tier | 75-89 | Guvenilir | Cogu task, minimal oversight | | B-Tier | 60-74 | Orta | Pair atama oner, review zorunlu | | C-Tier | 40-59 | Riskli | Sadece kucuk task, mentor eslik etsin | | D-Tier | 0-39 | Sorunlu | Yeniden egitim veya devre disi birak |
---
# Canavar verilerini oku SKILL_MATRIX="$HOME/.claude/canavar/skill-matrix.json" ERROR_LEDGER="$HOME/.claude/canavar/error-ledger.jsonl"
Hesaplama adimlari: 1. skill-matrix.json'dan agent profilini cek 2. error-ledger.jsonl'den son 30 gun hatalarini filtrele 3. QA loop retry sayilarini hesapla 4. ARS formulu uygula 5. Tier belirle
Task tipi verildiginde en uygun agent'i oner:
Cikti formati:
TASK: API endpoint gelistirme ONERILER: 1. backend-dev (ARS: 87, A-Tier) — son 5 API task'ta 4/5 first-pass 2. kraken (ARS: 82, A-Tier) — TDD ile daha yavas ama hatasiz 3. spark (ARS: 71, B-Tier) — hizli ama review gerektiriyor UYARI: frontend-dev bu task tipi icin uygun degil (ARS: 34 API task'larda)
Tum ekibin toplu durumu:
Skor zamana bagli bozulma:
---
1. skill-matrix.json ve error-ledger.jsonl oku 2. Her agent icin son 30 gun metriklerini hesapla 3. ARS skorlarini uret 4. Decay/recovery ayarlamalarini uygula 5. Tier atamalari yap 6. Rapor olustur
REPUTATION REPORT — 2026-03-14 ================================ TEAM ARS: 72.4 (B-Tier) TREND: +3.2 (son 7 gun iyilesme) TOP 5: kraken: ARS 91 (S-Tier) [+2] backend-dev: ARS 87 (A-Tier) [+5] code-reviewer: ARS 85 (A-Tier) [0] scout: ARS 83 (A-Tier) [-1] tdd-guide: ARS 79 (A-Tier) [+3] ATTENTION: spark: ARS 58 (C-Tier) — 3 ardisik FAIL, pair atama oner devops: ARS 52 (C-Tier) — CI/CD task'larinda %40 retry
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Repo: vibeeval/vibecosystem
WCAG 2.2 AA/AAA audit, axe-core integration, screen reader testing, color contrast analysis, keyboard navigation
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