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 skills add vasilyu1983/AI-Agents-public --skill software-database-designgit clone --depth 1 https://github.com/vasilyu1983/AI-Agents-publicWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/vasilyu1983/ai-agents-public/software-database-design)<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/software-database-design"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/software-database-design/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/software-database-design"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/software-database-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What 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 5.1 | $0.00043 | $0.06304 |
| Opus 5 | $0.00022 | $0.03152 |
| Sonnet 5 | $0.00009 | $0.01261 |
| Haiku 4.5 | $0.00004 | $0.00630 |
Grade A, and why
software-database-design 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 5d 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 — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Database Design
Schema design, data modeling, migration safety, and ORM patterns. This skill covers structural decisions — what tables exist, how they relate, how schemas evolve. For tuning queries on an existing schema, use data-sql-optimization.
Quick Reference
| Task | Default Picks | Notes |
|---|---|---|
| Relational database | PostgreSQL 18 | Transactions, complex queries, JSON support, native uuidv7(), async I/O |
| Relational (MySQL family) | MySQL 8.4 LTS | 8.0 reached EOL (Apr 2026); 8.4 is the LTS migration target, 9.x is the quarterly innovation train |
| Embedded / edge relational | SQLite 3.5x | Current release train moves fast (monthly point releases); pin a version, don't chase latest blindly |
| Flexible schema | MongoDB 8.x | Rapid iteration, embedded relationships |
| Caching / sessions | Redis | Ephemeral data, counters, pub/sub |
| Graph traversals | Neo4j | Relationship-heavy queries (social, fraud) |
| Time-series | TimescaleDB, InfluxDB | Metrics, IoT, event streams |
| Managed app backend | ../software-baas-platforms/SKILL.md | Use when auth, realtime, storage, and functions are part of the platform choice |
| Schema migrations | expand-contract pattern | Zero-downtime changes |
| ORM | Prisma, Drizzle, SQLAlchemy, EF Core | Match stack; review generated SQL |
| Vector similarity | pgvector (co-located with PostgreSQL) | HNSW is the default index for new work; see ai-vector-brain for implementation depth |
When to Use This Skill
- Design table/collection schemas and normalization strategies
- Model relationships (1:N, M:N, polymorphic associations)
- Plan zero-downtime migrations (expand-contract)
- Define indexing strategies based on access patterns
- Configure ORMs and avoid common anti-patterns
- Choose between relational, document, key-value, and graph databases
When NOT to Use This Skill
| Problem | Go here |
|---|---|
| Query optimization on existing schemas | data-sql-optimization |
| Backend service implementation | software-backend |
| Managed app backend platform (Supabase, Convex, Firebase, Appwrite, PocketBase) | software-baas-platforms |
| SwiftData/Core Data schemas mirrored to CloudKit | software-ios-native |
| On-device iOS semantic/vector retrieval | software-ios-ai-engine |
| Data lake or warehouse architecture | data-lake-platform |
| Streaming or real-time pipelines | data-streaming |
| System-level data architecture decisions | software-architecture-design |
What ships with it
12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 375 B
- data/sources.json 7.4 KB
- learnings.consolidated.md 600 B
- learnings.md 356 B
- references/migration-strategies.md 11 KB
- references/mongodb-atlas-ai-context.md 3.7 KB
- references/nosql-modeling.md 4.9 KB
- references/orm-framework-guide.md 750 B
- references/schema-design-patterns.md 28 KB
- references/sharding-decision-framework.md 15 KB
- references/storage-paradigm-selection.md 6.2 KB
- references/transactions-and-storage-engines.md 32 KB
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.
- 5d ago First seen · 337 lines · 43 tokens per session scan A b3947ffe112e
software-database-design is a skill published in the GitHub repository vasilyu1983/AI-Agents-public (87 stars, last pushed 6d ago), licensed MIT. It adds 43 tokens to every session and 6,304 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 2026-09-03.
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