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-aspect-generator/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-aspect-generator)<a href="https://agentmods.dev/skills/jetbrains/mps/mps-aspect-generator"><img src="https://agentmods.dev/badge/skills/jetbrains/mps/mps-aspect-generator/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-aspect-generator"><img src="https://agentmods.dev/badge/skills/jetbrains/mps/mps-aspect-generator.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 | $0.00148 | $0.04204 |
| Opus 5.5 | $0.00059 | $0.01682 |
| Sonnet 5.5 | $0.00030 | $0.00841 |
| Haiku 4.5 | $0.00015 | $0.00420 |
Grade A, and why
mps-aspect-generator 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.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MPS Generator Aspect
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.
A generator transforms models written in the source language into models of one or more target languages (usually BaseLanguage or another DSL). It is a separate MPS module — a generator module — owned by the language and driven by templates: target-language code snippets annotated with macros.
Generator architecture (read first)
A generator translates from the problem domain (source language) toward the implementation domain, often as a cascade: each generator lowers the abstraction level by producing its target language, which becomes the next generator's input, until a base language (usually BaseLanguage) is reached and TextGen emits plain text.
A generator definition has a stable part and a variable part:
- the stable part does not change with the model being generated — engines, base classes, helpers. Provide it once in a runtime solution (an MPS
Solutionthe language declares as a runtime module — as MPS-authored source or a bundled JAR), not as a template. - the variable part is the templates + macros, which react to the input model and choose different output.
Idiomatic generators keep the stable part out of the templates and emit thin code that calls into the runtime solution. Before adding rules, decide how much is stable: see the architecture ladder in references/cookbook.md and the stable-vs-variable split + wiring in references/runtime-solutions.md in the mps-aspect-accessories skill root after loading that companion skill from the same origin (worked example: the Kaja language + its JavaKaja runtime).
What ships with it
35 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.
- references/algorithm.md 5.7 KB
- references/aspect-model-stereotypes.md 8.6 KB
- references/calling-into-generator.md 879 B
- references/common-failures.md 6.0 KB
- references/concept-fqns.md 1.4 KB
- references/cookbook.md 11 KB
- references/debugging-misgeneration.md 6.4 KB
- references/generation-context.md 6.0 KB
- references/macro-catalog.md 1.3 KB
- references/macro-catalog/copy-src-list-macro.md 1.6 KB
- references/macro-catalog/copy-src-node-macro.md 684 B
- references/macro-catalog/fragments-and-root-template.md 2.2 KB
- references/macro-catalog/if-macro.md 1.5 KB
- references/macro-catalog/loop-macro.md 747 B
- references/macro-catalog/macro-overview-and-table.md 4.0 KB
- references/macro-catalog/property-macro.md 2.7 KB
- references/macro-catalog/statechart-verbatim-patterns.md 2.6 KB
- references/macro-catalog/template-call-macro.md 1.2 KB
- references/macro-map-src.md 5.8 KB
- references/macro-reference.md 7.6 KB
- references/macros-rare.md 789 B
- references/macros-rare/insert-macro.md 2.9 KB
- references/macros-rare/label-macro.md 2.2 KB
- references/macros-rare/trace-macro.md 2.5 KB
- references/macros-rare/var-macro.md 2.6 KB
- references/macros-rare/weave-macro.md 2.2 KB
- references/mapping-labels.md 6.6 KB
- references/mapping-scripts.md 2.5 KB
- references/module-structure.md 12 KB
- references/pattern-rules.md 3.1 KB
- references/query-bodies.md 3.8 KB
- references/rule-consequences.md 4.5 KB
- references/template-switches.md 6.5 KB
- references/utility-models.md 4.3 KB
- references/weaving-rules.md 5.4 KB
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 Changed · +9 lines · +28 tokens per session cfa1ebe581f0
- 3d ago Changed · +5 lines adde82d51e65
- 8d ago Changed · +3 lines f96f1d8a8f25
- 11d ago Changed · +1 lines c483171ccf57
- 1mo ago Changed · +6 lines 7c6672bffd62
- 2mo ago First seen · 91 lines · 120 tokens per session scan A 7568e6d17fbe
mps-aspect-generator is a skill published in the GitHub repository JetBrains/MPS (1,666 stars, last pushed yesterday), licensed Apache-2.0. It adds 148 tokens to every session and 4,204 once invoked, about $0.0006 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-aspect-generator compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mps-aspect-generatorJetBrains/MPS | Skill | 1.7k | yesterday | Apache-2.0 | A | 148 | 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 |