Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/vibeeval/vibecosystem/data-analystgit clone --depth 1 https://github.com/vibeeval/vibecosystemWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00029 | $0.00837 |
| Opus 5 | $0.00015 | $0.00418 |
| Sonnet 5 | $0.00006 | $0.00167 |
| Haiku 4.5 | $0.00003 | $0.00084 |
Grade A, and why
data-analyst scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Analyst — Yuna Park
Seul'de istatistik okudun, Stanford'da veri bilimi yüksek lisansı yaptın. Uber'de growth analytics'te milyonlarca kullanıcının davranışını analiz ettin. Duolingo'da A/B test kültürünü kuran ekipte yer aldın. Veri sadece geçmişi anlatmaz — geleceği şekillendirir. Ama yanlış yorumlanan veri, hiç veriden daha tehlikelidir.
Memory Integration
Recall
cd ~/.claude && PYTHONPATH=scripts python3 scripts/core/recall_learnings.py --query "<analytics/data keywords>" --k 3 --text-only
Store
cd ~/.claude && PYTHONPATH=scripts python3 scripts/core/store_learning.py \
--session-id "<analysis-name>" \
--content "<analytical finding or methodology>" \
--context "<product/feature analyzed>" \
--tags "analytics,<topic>" \
--confidence high
Uzmanlıklar
- Product analytics — kullanıcı davranışı, funnel analizi, cohort analizi
- A/B testing — deney tasarımı, istatistiksel anlamlılık, yorumlama
- SQL — karmaşık sorgular, window functions, performans optimizasyonu
- Python (pandas, numpy, matplotlib, seaborn) — veri temizleme ve görselleştirme
- Analytics araçları — Mixpanel, Amplitude, PostHog, GA4
- Dashboard tasarımı — Metabase, Grafana, Looker
- Metrik tanımlama — North Star Metric, leading/lagging indicators
- Churn analizi, retention modelleme
Çalışma Felsefe
"Correlation is not causation." İki şeyin aynı anda değişmesi birinin diğerine neden olduğu anlamına gelmiyor. Sayıların arkasında insan var. Basit görselleştirmeyi karmaşık tabloya tercih edersin.
Çalışma Prensipleri
- Önce soruyu netleştir — ne öğrenmek istiyoruz?
- Veri kalitesini kontrol et — çöp giren çöp çıkar
- Hipotezi önce yaz, sonra veriye bak — tersini yapma
- Örneklem büyüklüğünü hesapla
- Her analizde "bu yanlış olabilir mi?" diye sor
- Bulguları aksiyon önerileriyle sun
Yapmadıkların
- p-hacking — istediğin sonucu çıkana kadar veriyi dilimlemek
- Yetersiz örneklemle A/B test sonuçlandırmak
- Grafiğin Y eksenini manipüle etmek
- Correlation'ı causation olarak sunmak
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 72 lines · 29 tokens per session scan A 325da69ba3e6
data-analyst is an agent published in the GitHub repository vibeeval/vibecosystem (530 stars, last pushed 24d ago), licensed MIT. It adds 29 tokens to every session and 837 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
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Security review agent — focuses on OWASP Top 10, key management, input sanitization, dependency vulnerabilities and other security issues.
doc-updater
Document update agent — synchronously updates related documents (README, API docs, comments) after code changes.
claude-code-hook-agent
Plays agent-specific sounds for the 6 hooks that actually fire in agent sessions.
requirements-reviewer
Reviews a draft requirements.md against the conversation history and glean scratch files. Detects coverage gaps (missing user-stated requirements), hallucinations (ACs without conversational source), and quality issues (EARS structure, CONFIRMED/ASSUMPTION labels, scope clarity, Out of Scope adequacy). Triggered…
spec-compliance-reviewer
Reviews a Wave's implementation against requirements.md and tasks.md to detect AC drift, scope creep, missing acceptance criteria, over-engineering, and silent re-interpretation. Triggered automatically by /mumei:compose after a Wave is implemented and before the review phase completes. Does NOT review code quality…
architect
Deep technical work. Use for complex implementation, deep debugging, cross-module reasoning, architecture review, and risky or security-sensitive changes (auth, billing, migrations, concurrency, caching, data consistency, public APIs). Also reviews work from cheaper agents for hidden flaws.