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 mendixlabs/mxcli --skill agentsgit clone --depth 1 https://github.com/mendixlabs/mxcliWrote 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/agents)<a href="https://agentmods.dev/skills/mendixlabs/mxcli/agents"><img src="https://agentmods.dev/badge/skills/mendixlabs/mxcli/agents/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/agents"><img src="https://agentmods.dev/badge/skills/mendixlabs/mxcli/agents.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 | $0.00074 | $0.02280 |
| Opus 5.5 | $0.00030 | $0.00912 |
| Sonnet 5.5 | $0.00015 | $0.00456 |
| Haiku 4.5 | $0.00007 | $0.00228 |
Grade A, and why
agents 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 4d 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 — 255 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 |
|---|---|
| 24-50 | Overview |
| 51-137 | Syntax |
| 138-164 | Altering existing documents |
| 165-193 | Gotchas |
| 194-215 | Common Patterns |
| 216-251 | Calling Agents from Microflows |
| 252-254 | AI agent documents |
Agents
Overview
Four AI agent document types stored as JSON inside Mendix MPR files:
| Type | CREATE keyword | Notes |
|---|---|---|
| Model | create ai model |
GenAI model configuration; required by Agent |
| Knowledge Base | create knowledge base |
KB source; referenced by Agent body |
| Consumed MCP Service | create consumed mcp service |
MCP tool server; referenced by Agent body |
| Agent | create agent |
Orchestrates model + tools + prompts |
Requires: Mendix 11.9+ and the full agent-editor marketplace stack (7 modules) —
AgentEditorCommons depends transitively on the other six, so all must be installed:
| Module | Role |
|---|---|
GenAICommons |
Core AI types (Request/Response, DeployedModel, Tool, KnowledgeBase) |
MxGenAIConnector |
Mendix Cloud AI backend, model config, embeddings |
AgentCommons |
Agent management (versioned agents, tools, KBs, MCP) |
AgentEditorCommons |
Bridge to the Studio Pro Agent Editor extension |
MCPClient |
MCP server connections, tool discovery/execution |
ConversationalUI |
Chat widgets, tool-approval UI, trace monitoring |
Encryption |
Provides the 32-char key models/KBs reference |
Install them with mxcli marketplace install <id> -p app.mpr (or via Studio Pro). Also
register ASU_AgentEditor as an after-startup microflow.
Syntax
Model
mdl 1;
create ai model Module.MyModel (
Provider: MxCloudGenAI, -- default, can omit
key: @Module.ApiKeyConst -- must be a String constant
);
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.
- 4d ago Changed · +16 lines 710a21db5b19
- 14d ago Changed · +7 lines 4a5bb845f1b6
- 15d ago Changed 4a187480107b
- 23d ago Changed · +4 lines 51e150551b3b
- 1mo ago First seen · 228 lines · 74 tokens per session scan A bb84b55197db
agents is a skill published in the GitHub repository mendixlabs/mxcli (130 stars, last pushed today), licensed Apache-2.0. It adds 74 tokens to every session and 2,280 once invoked, about $0.0003 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.
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