domainmodel-dsl

domainmodel-dsl is a skill for Claude Code, Codex from TypeFox/agent-skills. It costs 45 tokens per session (201 once invoked), scanned A, original, MIT.

A small language for describing data models with named data types, entities, fields, and packages. A data model describes the kinds of information an application stores and how that information is organized.

In plain words
What is it for?
Use it to create or edit .dmodel files that define types such as strings and numbers, entities such as people, their fields, and grouped packages.
Why use it?
It gives developers a compact, consistent way to document the structure of application data.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create or edit .dmodel files that define types such as strings and numbers, entities such as people, their fields, and grouped packages.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/typefox/agent-skills/domainmodel-dsl-v1
Install

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.

Any agent
npx skills add TypeFox/agent-skills --skill domainmodel-dsl-v1
Clone the repo
git clone --depth 1 https://github.com/TypeFox/agent-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for domainmodel-dsl

README.md
[![agentmods](https://agentmods.dev/badge/skills/typefox/agent-skills/domainmodel-dsl-v1/github.svg)](https://agentmods.dev/skills/typefox/agent-skills/domainmodel-dsl-v1)
Your own site
<a href="https://agentmods.dev/skills/typefox/agent-skills/domainmodel-dsl-v1"><img src="https://agentmods.dev/badge/skills/typefox/agent-skills/domainmodel-dsl-v1/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.

agentmods 80×15 button for domainmodel-dsl

Your own site · 80×15
<a href="https://agentmods.dev/skills/typefox/agent-skills/domainmodel-dsl-v1"><img src="https://agentmods.dev/badge/skills/typefox/agent-skills/domainmodel-dsl-v1.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 201 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.00201
Opus 5 $0.00023 $0.00101
Sonnet 5 $0.00009 $0.00040
Haiku 4.5 $0.00005 $0.00020

Measured 9d ago against content hash d7de346e5e5b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

domainmodel-dsl 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 9d 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.

skills/skill-evals/evals/files/dsl-skills/domainmodel-dsl-v1/SKILL.md · 46 lines

What it actually says

Domain Model DSL

A language for describing a data model as a set of datatypes and entities.

Datatypes

Declare a primitive datatype with the datatype keyword:

datatype String
datatype Int

Entities

An entity groups a set of features. Each feature has a name and a type:

entity Person {
    name: String
    age: Int
}

The type of a feature can be a datatype or another entity.

Packages

You can group declarations inside a package:

package model {
    datatype String
    entity Person {
        name: String
    }
}

That's the core of the language — declare your datatypes, then your entities with their features.

Changes

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.

  1. 9d ago First seen · 46 lines · 45 tokens per session scan A d7de346e5e5b

Subscribe to this mod's changes

domainmodel-dsl is a skill published in the GitHub repository TypeFox/agent-skills (5 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 201 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 2026-08-31.

Related

Other skills, from other repositories

create-pr

Creates a GitHub PR with a Linear-ticket-prefixed title and a decision-led, narrative description for prisma-next. Use when the user wants to create a pull request, open a PR, or submit changes for review.

prisma/orm · 47 tokens

schema-exploration

Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.

langchain-ai/deepagents · 57 tokens

ha-data-stores

Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…

shiwenwen/hope-agent · 115 tokens

supabase

Supabase / PostgREST Row-Level-Security playbook — pull the anon (or leaked servicerole) key out of the frontend JS, map tables from the auto-generated OpenAPI spec, test anonymous RLS READ disclosures (PII/secret leaks), and anonymous RLS WRITE abuse (insert/update/delete — e.g. forging…

PentesterFlow/agent · 120 tokens

nornicdb-cypher-queries

Pick fast, predictable Cypher query shapes in NornicDB — point lookups, batch retrieval, pagination, search, traversal, batched UNWIND/MERGE writes, cleanup, multi-tenant isolation. Use when writing or reviewing Cypher whose latency or throughput matters; maps user intent to the executor's hot-path query templates.

orneryd/NornicDB · 79 tokens

dsql

Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, foreign key…

awslabs/agent-plugins · 229 tokens