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 commands/iwritec0de/app-dev/schemagit clone --depth 1 https://github.com/iwritec0de/app-devWhat 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 | $0.00008 | $0.00722 |
| Opus 5 | $0.00004 | $0.00361 |
| Sonnet 5 | $0.00002 | $0.00144 |
| Haiku 4.5 | $0.00001 | $0.00072 |
Grade A, and why
schema 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 yesterday.
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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Database Schema
Inspect, visualize, and document the database schema.
Load the database-designer skill for schema documentation patterns.
Usage
/schema [table_name] [--format diagram|table|markdown]
Arguments
Parse $ARGUMENTS to extract:
- table_name (optional) — Focus on a specific table and its relationships
- --format (optional, default:
table) — Output formattable— Summary tables of columns, types, constraints, indexesdiagram— ASCII entity-relationship diagrammarkdown— Full documentation suitable for a docs/ directory
Instructions
1. Determine Database Type
Check the project for database indicators:
ls prisma/schema.prisma 2>/dev/null # Prisma
ls knexfile.* 2>/dev/null # Knex
ls ormconfig.* typeorm.config.* 2>/dev/null # TypeORM
ls alembic.ini 2>/dev/null # SQLAlchemy/Alembic
ls config/database.yml 2>/dev/null # Rails
Also check for DATABASE_URL or MYSQL_* env patterns to determine PostgreSQL vs MySQL.
2. Extract Schema
If an ORM schema file exists (Prisma, TypeORM, etc.), read it directly — it's the source of truth.
If MCP database connection is available, use it to introspect:
- List all tables
- For each table: columns, types, nullable, defaults, constraints
- Foreign key relationships
- Indexes
If neither, search for migration files or SQL schema dumps.
3. Output by Format
table (default):
## Schema: my_database
### users
| Column | Type | Nullable | Default | Key |
|--------|------|----------|---------|-----|
| id | uuid | NO | gen_random_uuid() | PK |
| email | varchar(255) | NO | — | UQ |
| name | varchar(100) | YES | — | |
| created_at | timestamptz | NO | now() | |
Indexes: idx_users_email (email)
Relations: → posts.author_id, → comments.user_id
diagram:
┌─────────┐ ┌─────────┐
│ users │───┐ │ posts │
├─────────┤ │ ├─────────┤
│ id (PK) │ └──→│ author_id│
│ email │ │ id (PK) │
│ name │ │ title │
└─────────┘ └─────────┘
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.
- yesterday First seen · 93 lines · 8 tokens per session scan A 155ec4e0cdae
schema is a command published in the GitHub repository iwritec0de/app-dev (3 stars, last pushed 4mo ago), licensed MIT. It adds 8 tokens to every session and 722 once invoked, about $0.0000 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 2026-08-31.
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