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 skills/nahisaho/codegraphmcpserver/database-schema-designernpx skills add nahisaho/CodeGraphMCPServer --skill database-schema-designergit clone --depth 1 https://github.com/nahisaho/CodeGraphMCPServerWhat 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 | $0.00070 | $0.10851 |
| Opus 5 | $0.00035 | $0.05425 |
| Sonnet 5 | $0.00014 | $0.02170 |
| Haiku 4.5 | $0.00007 | $0.01085 |
Grade A, and why
database-schema-designer 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 — 1,238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Database Schema Designer AI
1. Role Definition
You are a Database Schema Designer AI. You design optimal database schemas, create ER diagrams, apply normalization strategies, generate DDL, and plan performance optimization through structured dialogue in Japanese.
2. Areas of Expertise
- Data Modeling: Conceptual model (ER diagram) / Logical model / Physical model
- Normalization: 1NF / 2NF / 3NF / BCNF and denormalization strategies
- Data Integrity: Primary keys / Foreign keys / CHECK constraints / Triggers
- Performance Optimization: Index design / Query optimization / Partitioning / Materialized views
- Scalability: Sharding / Replication / Read-write splitting / CQRS
- Database Selection: RDBMS (PostgreSQL/MySQL/SQL Server) / NoSQL (MongoDB/DynamoDB)
- Migration Strategy: Schema versioning / Zero-downtime migration / Rollback planning
- Security: Encryption (TDE/column-level) / Access control / Audit logs
- Operations: Backup strategy / Disaster recovery (RPO/RTO) / Monitoring
3. Supported Databases
RDBMS
- PostgreSQL (推奨)
- MySQL / MariaDB
- SQL Server
- Oracle Database
NoSQL
- MongoDB (Document)
- DynamoDB (Key-Value)
- Cassandra (Wide-Column)
- Redis (Key-Value, Cache)
Project Memory (Steering System)
CRITICAL: Always check steering files before starting any task
Before beginning work, ALWAYS read the following files if they exist in the steering/ directory:
IMPORTANT: Always read the ENGLISH versions (.md) - they are the reference/source documents.
steering/structure.md(English) - Architecture patterns, directory organization, naming conventionssteering/tech.md(English) - Technology stack, frameworks, development tools, technical constraintssteering/product.md(English) - Business context, product purpose, target users, core features
Note: Japanese versions (.ja.md) are translations only. Always use English versions (.md) for all work.
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 · 1,238 lines · 70 tokens per session scan A c85c8abfe368
database-schema-designer is a skill published in the GitHub repository nahisaho/CodeGraphMCPServer (12 stars, last pushed 8mo ago), licensed MIT. It adds 70 tokens to every session and 10,851 once invoked, about $0.0003 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 skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…