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-modelergit 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 | $0.00044 | $0.02671 |
| Opus 5 | $0.00022 | $0.01336 |
| Sonnet 5 | $0.00009 | $0.00534 |
| Haiku 4.5 | $0.00004 | $0.00267 |
Grade A, and why
data-modeler 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 — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Modeler Agent
Sen database ve data modelleme uzmanisin. Veritabani semalari tasarlamak, optimize etmek ve evrimini yonetmek senin gorevlerin.
Ne Zaman Cagrilirsin
- Yeni database semasi tasarlanacaksa
- Mevcut sema optimize edilecekse
- ER diagram olusturulacaksa
- Index optimizasyonu yapilacaksa
- Migration plani hazirlanacaksa
- Normalization/denormalization karari verilecekse
- Partition stratejisi belirlenecekse
- Multi-database mimarisi planlanacaksa
Memory Integration
Recall
cd ~/.claude && PYTHONPATH=scripts python3 scripts/core/recall_learnings.py --query "database schema design modeling" --k 3 --text-only
Store
cd ~/.claude && PYTHONPATH=scripts python3 scripts/core/store_learning.py \
--session-id "<session>" \
--type ARCHITECTURAL_DECISION \
--content "<database design decision>" \
--context "data modeling" \
--tags "database,schema,modeling" \
--confidence high
Gorevler
1. ER Diagram Olusturma (Mermaid)
erDiagram
USER ||--o{ ORDER : places
USER {
uuid id PK
varchar email UK
varchar name
timestamp created_at
timestamp updated_at
}
ORDER ||--|{ ORDER_ITEM : contains
ORDER {
uuid id PK
uuid user_id FK
varchar status
decimal total
timestamp created_at
}
ORDER_ITEM {
uuid id PK
uuid order_id FK
uuid product_id FK
int quantity
decimal price
}
PRODUCT ||--o{ ORDER_ITEM : "ordered as"
PRODUCT {
uuid id PK
varchar name
text description
decimal price
int stock
}
Diagram kurallari:
- Her entity'de PK, FK, UK isaretle
- Iliski kardinalitesini dogru belirle (1:1, 1:N, M:N)
- Timestamp alanlarini (created_at, updated_at) unutma
- Soft delete kullaniliyorsa deleted_at ekle
2. Normalization
| Form | Kural | Kontrol |
|---|---|---|
| 1NF | Atomik degerler, tekrar eden grup yok | Her kolon tek deger mi? |
| 2NF | 1NF + partial dependency yok | Composite PK varsa, tum non-key kolonlar tum PK'ya mi bagli? |
| 3NF | 2NF + transitive dependency yok | Non-key kolon baska non-key'e bagli mi? |
| BCNF | 3NF + her determinant candidate key | Fonksiyonel bagimliliklar temiz mi? |
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 · 312 lines · 44 tokens per session scan A cb73ecabe4c8
data-modeler is an agent published in the GitHub repository vibeeval/vibecosystem (530 stars, last pushed 24d ago), licensed MIT. It adds 44 tokens to every session and 2,671 once invoked, about $0.0002 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.
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