Softaworks Agent Toolkit is a collection of packaged instructions, scripts, agents, and commands that give AI coding assistants reusable procedures for development, documentation, planning, and professional work. Developers install its components individually in compatible coding-agent environments; catalogue entries represent parts of this toolkit.
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 softaworks/agent-toolkit --skill database-schema-designergit clone --depth 1 https://github.com/softaworks/agent-toolkitWrote 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/softaworks/agent-toolkit/database-schema-designer)<a href="https://agentmods.dev/skills/softaworks/agent-toolkit/database-schema-designer"><img src="https://agentmods.dev/badge/skills/softaworks/agent-toolkit/database-schema-designer/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/softaworks/agent-toolkit/database-schema-designer"><img src="https://agentmods.dev/badge/skills/softaworks/agent-toolkit/database-schema-designer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00049 | $0.04192 |
| Opus 5.5 | $0.00020 | $0.01677 |
| Sonnet 5.5 | $0.00010 | $0.00838 |
| Haiku 4.5 | $0.00005 | $0.00419 |
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 1mo 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.
This is a copy
100% identical to database-schema-designer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 688 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Database Schema Designer
Design production-ready database schemas with best practices built-in.
Quick Start
Just describe your data model:
design a schema for an e-commerce platform with users, products, orders
You'll get a complete SQL schema like:
CREATE TABLE users (
id BIGINT AUTO_INCREMENT PRIMARY KEY,
email VARCHAR(255) UNIQUE NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
CREATE TABLE orders (
id BIGINT AUTO_INCREMENT PRIMARY KEY,
user_id BIGINT NOT NULL REFERENCES users(id),
total DECIMAL(10,2) NOT NULL,
INDEX idx_orders_user (user_id)
);
What to include in your request:
- Entities (users, products, orders)
- Key relationships (users have orders, orders have items)
- Scale hints (high-traffic, millions of records)
- Database preference (SQL/NoSQL) - defaults to SQL if not specified
Triggers
| Trigger | Example |
|---|---|
design schema |
"design a schema for user authentication" |
database design |
"database design for multi-tenant SaaS" |
create tables |
"create tables for a blog system" |
schema for |
"schema for inventory management" |
model data |
"model data for real-time analytics" |
I need a database |
"I need a database for tracking orders" |
design NoSQL |
"design NoSQL schema for product catalog" |
Key Terms
| Term | Definition |
|---|---|
| Normalization | Organizing data to reduce redundancy (1NF → 2NF → 3NF) |
| 3NF | Third Normal Form - no transitive dependencies between columns |
| OLTP | Online Transaction Processing - write-heavy, needs normalization |
| OLAP | Online Analytical Processing - read-heavy, benefits from denormalization |
| Foreign Key (FK) | Column that references another table's primary key |
| Index | Data structure that speeds up queries (at cost of slower writes) |
| Access Pattern | How your app reads/writes data (queries, joins, filters) |
| Denormalization | Intentionally duplicating data to speed up reads |
What ships with it
3 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.
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.
- 1mo ago First seen · 688 lines · 49 tokens per session scan A e485710c0bd1
database-schema-designer is a skill published in the GitHub repository softaworks/agent-toolkit (2,558 stars, last pushed 7mo ago), licensed MIT. It adds 49 tokens to every session and 4,192 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to database-schema-designer, differing in 0 lines, and is treated as a copy.
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deployment-verification-agent
Produces Go/No-Go deployment checklists with SQL verification queries, rollback procedures, and monitoring plans. Use when PRs touch production data, migrations, or risky data changes.
schema-drift-detector
Detects unrelated schema.rb changes in PRs by cross-referencing against included migrations. Use when reviewing PRs with database schema changes.
data-export-and-restore
Enforces user-facing data portability in an offline-first app — backup/restore (exact, machine round-trippable) kept strictly separate from export/report (human, lossy, never a restore source); a versioned envelope carrying formatVersion, schemaVersion, appVersion, exportedAtUtc and a payload checksum so a restore…
run-migration
Runs the forward-only Drift/SQLite schema-migration ritual — the most dangerous deterministic operation in an offline-first app: a bad migration silently destroys on-device rows that exist nowhere else. Enforces the exact ordered sequence: take a pre-migration file snapshot before the database is opened, bump…