JetBrains MPS is a development environment for creating domain-specific languages, which are programming languages designed for a particular field or task. It provides editors with features such as completion, semantic checks, and type checking, and can generate code in languages including Java and XML.
Borrowing it
Nothing to install: this file belongs to JetBrains/MPS. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/JetBrains/MPS/master/.agents/skills/mps-run-configurations/SKILL.mdgit clone --depth 1 https://github.com/JetBrains/MPSWrote 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/jetbrains/mps/mps-run-configurations)<a href="https://agentmods.dev/skills/jetbrains/mps/mps-run-configurations"><img src="https://agentmods.dev/badge/skills/jetbrains/mps/mps-run-configurations/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/jetbrains/mps/mps-run-configurations"><img src="https://agentmods.dev/badge/skills/jetbrains/mps/mps-run-configurations.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 | $0.00120 | $0.01396 |
| Opus 5.5 | $0.00048 | $0.00558 |
| Sonnet 5.5 | $0.00024 | $0.00279 |
| Haiku 4.5 | $0.00012 | $0.00140 |
Grade A, and why
mps-run-configurations 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 3d 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Running MPS Root Nodes
Loading companion skills
Companion names in this skill are lazy dependencies: load only those relevant to the current task. If this skill came from an MCP server, use the host's skill loader to resolve the companion's unique discovered entry URI on the same host-assigned originating server. If the host has no server-backed skill loader, stop and report that limitation; do not silently fall back to a filesystem copy. If this skill came from a filesystem catalog, load the named sibling from that same catalog at <skills-root>/<skill-name>/SKILL.md, even if remote skill loaders are also available. Do not invent a tool name or server endpoint.
This skill covers the path from "an MPS root node exists in a model" to "a green IDE run / red stack trace in my hand," using only MCP tools. It targets user-level artifacts (DSL main-like roots, plain ClassConcept mains, test cases) — not launching MPS itself (the MPS / MPS (2nd inst.) configs are a different topic, see AGENTS.md or CLAUDE.md).
Critical Directives
execute_run_configurationandget_run_configurationsare provided both by MPS and IDEA. Use the ones provided by MPS for running MPS nodes/tests.mps_mcp_create_run_configurationaccepts a root, an array of test roots, a model, or an array of models. A single root is one of four shapes: implementsIMainClass, implementsITestCase, is another test root MPS test discovery recognizes (aGeneratorTest), or is aClassConceptwith a qualifying staticmain. One model alone stays a live JUnit config; any other set is a snapshot of the test roots present at creation. A model reference passed asnodeReferenceis rejected — pass it inmodelReference. Seereferences/create-and-execute.md.- MAKE the module, not just the model, before running. Model MAKE regenerates
source_genbut does not always compile intoclasses_gen; running launches bytecode, so a staleclasses_gensilently runs old code. Seereferences/compile-before-run.md. - Keep
configurationNamestable across iterations. The tool replaces the existing config of the same<type>.<name>rather than creating duplicates — idempotent setup is the goal. Use distinct names only when you actually want parallel configs. - Do not silently flip
compileInMPS=falseto true.Compile.Noneand JPS-compile settings are usually intentional (sandbox modules, externally-built modules, packaged libraries). Confirm with the user; otherwise take the IDEA MCP file-path fallback. - Prefer the source-root path over generated-Java entry points. Source-root configs survive regeneration; file-path configs against
source_genonly work whileclasses_genis fresh. - MPS MCP
execute_run_configuration/get_run_configurationsdo not surface run points undersource_gen. Use the IDEA MCP variants when you need afilePath+linelauncher for generated Java. - Reuse before you create. If the user already has a working run config, prefer
get_run_configurations()+execute_run_configurationby its existing name — duplicates are pointless.
What ships with it
6 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.
- 3d ago Changed · +11 tokens per session c34c7390f429
- 29d ago Changed fda8ab17c3b1
- 1mo ago Changed · +4 lines 2291e9b8c0a3
- 1mo ago Changed d32ab9f85b1d
- 2mo ago First seen · 47 lines · 109 tokens per session scan A e956f863acdc
mps-run-configurations is a skill published in the GitHub repository JetBrains/MPS (1,666 stars, last pushed yesterday), licensed Apache-2.0. It adds 120 tokens to every session and 1,396 once invoked, about $0.0005 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.
mps-run-configurations compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mps-run-configurationsJetBrains/MPS | Skill | 1.7k | yesterday | Apache-2.0 | A | 120 | Claude Code, Codex |
| langiumeclipse-langium/langium-ai | Skill | 31 | 4d ago | MIT | A | 33 | Claude Code |
| lai-gen-evalseclipse-langium/langium-ai | Skill | 31 | 4d ago | MIT | A | 42 | Claude Code |
| laieclipse-langium/langium-ai | Skill | 31 | 4d ago | MIT | A | 52 | Claude Code |
| lai-gen-descriptoreclipse-langium/langium-ai | Skill | 31 | 4d ago | MIT | A | 49 | Claude Code |
| lai-gen-mcpeclipse-langium/langium-ai | Skill | 31 | 4d ago | MIT | A | 43 | Claude Code |
| lai-gen-language-skilleclipse-langium/langium-ai | Skill | 31 | 4d ago | MIT | A | 33 | Claude Code |