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/luanmorenommaciel/agentspec/schemagit clone --depth 1 https://github.com/luanmorenommaciel/agentspecWrote 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/commands/luanmorenommaciel/agentspec/schema)<a href="https://agentmods.dev/commands/luanmorenommaciel/agentspec/schema"><img src="https://agentmods.dev/badge/commands/luanmorenommaciel/agentspec/schema.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00012 | $0.00320 |
| Opus 5 | $0.00006 | $0.00160 |
| Sonnet 5 | $0.00002 | $0.00064 |
| Haiku 4.5 | $0.00001 | $0.00032 |
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 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.
What it actually says
Schema Command
Design data models interactively (star schema, Data Vault, SCD, normalization)
Usage
/schema <description-or-file>
Examples
/schema "Star schema for e-commerce analytics"
/schema "SCD Type 2 for customer dimension"
/schema "Data Vault for multi-source integration"
/schema requirements/data-model-spec.md
What This Command Does
- Invokes the schema-designer agent
- Analyzes your modeling requirements
- Loads KB patterns from
data-modelingandsql-patternsdomains - Generates:
- Entity-relationship diagrams (ASCII)
- DDL statements for target platform
- Grain definition and cardinality analysis
- SCD strategy recommendations
Agent Delegation
| Agent | Role |
|---|---|
schema-designer |
Primary — dimensional modeling, SCD, Data Vault |
dbt-specialist |
Escalation — when models need dbt implementation |
sql-optimizer |
Escalation — when index strategy is needed |
KB Domains Used
data-modeling— dimensional modeling, SCD types, normalization, schema evolutionsql-patterns— DDL patterns, index strategiesdata-quality— constraint enforcement
Output
The agent generates DDL, model documentation, and implementation recommendations for your target platform.
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 · 55 lines · 12 tokens per session scan A fa58092ce7c7
schema is a command published in the GitHub repository luanmorenommaciel/agentspec (244 stars, last pushed 3d ago), licensed MIT. It adds 12 tokens to every session and 320 once invoked, about $0.0001 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 2026-09-01.
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