Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/mendixlabs/mxclinpx agentmods add skills/mendixlabs/mxcli/generate-domain-modelWrote 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/mendixlabs/mxcli/generate-domain-model)<a href="https://agentmods.dev/skills/mendixlabs/mxcli/generate-domain-model"><img src="https://agentmods.dev/badge/skills/mendixlabs/mxcli/generate-domain-model/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/mendixlabs/mxcli/generate-domain-model"><img src="https://agentmods.dev/badge/skills/mendixlabs/mxcli/generate-domain-model.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00055 | $0.01905 |
| Opus 5.5 | $0.00022 | $0.00762 |
| Sonnet 5.5 | $0.00011 | $0.00381 |
| Haiku 4.5 | $0.00006 | $0.00191 |
Grade A, and why
generate-domain-model 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 5d 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 — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Find it fast
sed -n '<from>,<to>p' SKILL.md one section rather than reading the file;
./mxcli syntax <topic> answers how do I write this for a fraction of either.
| lines | section |
|---|---|
| 28-40 | Reference files |
| 41-47 | When to Use This Skill |
| 48-59 | Modelling for the client: widgets bind members, not expressions |
| 60-96 | Documentation Best Practices |
| 97-197 | Step-by-Step Process |
| 198-214 | Testing the Script |
| 215-233 | Checklist |
| 234-242 | References |
| 243-252 | Tips for AI Assistants |
Creating Mendix Domain Model MDL Scripts
Use this skill to generate Mendix domain model scripts in MDL (Mendix Definition Language) format and validate them with the linter.
Reference files
SKILL.md covers the process and the decisions — what to model, in what order,
and how to check it. The lookup material is next door:
reference/syntax.md— the complete syntax for entities, attributes, associations and enumerations, every attribute type, plus reserved keywords and entity positioning. Check a spelling here rather than guessing; a reserved word used as an attribute name fails in Studio Pro, not in the parser.reference/patterns.md— the recurring domain shapes (header/detail, categorisation, audit, soft delete, many-to-many with payload) and a full worked e-commerce model.
When to Use This Skill
- User asks to create a domain model for a specific use case
- User wants to generate entities, associations, and enumerations
- User requests a complete e-commerce, HR, CRM, or other business domain model
- User needs validation of generated MDL scripts
Modelling for the client: widgets bind members, not expressions
A page widget binds an attribute or association path — never an expression. There
is no substring(attr, i, 1) or computed binding in a widget. So a value that must be
rendered per-part (each character of a code, each cell of a grid, each of N pencil
marks) has to be stored as separate attributes, not packed into one string and
indexed client-side. Model the wide form when the UI needs to address the parts
individually (e.g. N1…N9 booleans rather than a packed Notes string); reach for
a computed/derived value only where a microflow or view-entity OQL produces it into a
real attribute. (Same reason the bucket-class idiom exists — see
migrate-design-prototype.)
What ships with it
2 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.
- 5d ago Changed · +18 lines c56e55d3c10a
- 1mo ago First seen · 235 lines · 55 tokens per session scan A 1e6544eb60f9
generate-domain-model is a skill published in the GitHub repository mendixlabs/mxcli (131 stars, last pushed yesterday), licensed Apache-2.0. It adds 55 tokens to every session and 1,905 once invoked, about $0.0002 per session on Opus 5.5. 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
nosql-database-design
Designs a NoSQL data model by leading with access pattern analysis. Covers DynamoDB single-table design (PK/SK/GSI) and MongoDB embedding vs referencing, consistency models, and capacity planning. Invoked when the user asks to design a DynamoDB schema, MongoDB data model, or NoSQL data model.
sql-query-optimization
Diagnoses and optimises slow SQL queries using EXPLAIN ANALYZE. Covers identifying bottlenecks (sequential scans, bad estimates, heap fetches), index strategy, query rewrites, and verification. Invoked when the user asks to optimize a query, fix a slow database query, or improve database performance.
ship-safe-scan
Quick scan for leaked secrets — API keys, passwords, tokens, database URLs. Use when the user wants to check for hardcoded secrets or exposed credentials.
firebase
Use when building on Firebase — Firestore data modeling, Security Rules, Auth and custom claims, Cloud Functions, Storage, modular Web/Admin SDK imports — including symptoms like a database open to the internet, a query rejected by rules, or a doc stuck at 1 write/sec. NOT managed-Postgres BaaS with SQL and RLS (that…
notion-connector
Use when wiring server code or a cron job to Notion as an ops backend over its HTTP API: pushing or mirroring database rows, two-way sync without duplicates, page blocks, or an integration broken by the 2025-09-03 data-source split. NOT generic REST wiring (that is api-connector-builder), NOT inbound Notion webhook…
backend-development
Backend API design, database architecture, microservices patterns, and test-driven development. Use for designing APIs, database schemas, or backend system architecture.