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-typesystem/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-typesystem)<a href="https://agentmods.dev/skills/jetbrains/mps/mps-aspect-typesystem"><img src="https://agentmods.dev/badge/skills/jetbrains/mps/mps-aspect-typesystem/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-typesystem"><img src="https://agentmods.dev/badge/skills/jetbrains/mps/mps-aspect-typesystem.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 | $0.00176 | $0.03181 |
| Opus 5.5 | $0.00070 | $0.01272 |
| Sonnet 5.5 | $0.00035 | $0.00636 |
| Haiku 4.5 | $0.00018 | $0.00318 |
Grade A, and why
mps-aspect-typesystem 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 8d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MPS Typesystem and Checking 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.
The typesystem aspect gives nodes types and reports semantic errors. It combines two related sub-aspects:
- Typesystem rules — compute types and constraints on them (
InferenceRule,SubtypingRule,InequationReplacementRule,ComparisonRule,SubstituteTypeRule). - Non-typesystem checking rules — produce errors/warnings/messages without contributing to type inference (
NonTypesystemRule, a.k.a. "checking rule").
Lives in <lang>/languageModels/typesystem.mps, language jetbrains.mps.lang.typesystem. Rule bodies are BaseLanguage + smodel + collections + closures.
Critical Directives
- One
InferenceRule(or other root rule) per concept whose type/check you compute. Multiple rules collectively constrain a node — keep each rule focused. - The
inferprefix makes an inequation soft (the solver tries to satisfy it, will not immediately error). Withoutinfer, violating the inequation reports an error. Choose deliberately. - In equation/inequation JSON, both
leftExpressionandrightExpressionareTypeClauseslots — always wrap the real Expression in aNormalTypeClause(normalTypechild holds the actual Expression). Do not put the Expression directly underleftExpression/rightExpression. - TextGen-style dispatch caveat does not apply here; typesystem rules are inherited via concept hierarchy, but the
overridesproperty on a rule suppresses inherited rules from superconcepts. - TextGen / typesystem error messages: wrap smodel expressions that render types with
<...>presentation:error "Expected " + <expectedType> + " but got " + <actualType> -> node;. Avoid rawtoString. when concrete (typeof(expr) as v) { ... }defers a block until the type is fully resolved — use it before deciding whether to report an error or assign a result type.- Quick fixes (
TypesystemQuickFix) are roots, not executed automatically — the user triggers them via the UI. Wire them into a report through thehelginsIntentionslot (TypesystemIntentionwrapper withquickFixref +actualArguments). Seereferences/quick-fixes.md. - Reusable helper code (utility classes, shared algorithms) can live as a plain BaseLanguage
ClassConceptroot directly in the typesystem model. No separate utility module is required. - For MPS-typed return types (
sequence<node<X>>,list<node<X>>) the Java parser gives backList<SNode>— fix perreferences/variable-declarations.mdin themps-model-manipulationskill root after loading that companion skill from the same origin. - Edit typesystem models through MPS MCP tools (
mps_mcp_insert_root_node_from_json,mps_mcp_update_node,mps_mcp_parse_java_and_insert). Do not hand-edit.mpsfiles. - After edits run
mps_mcp_check_root_node_problems, compile the language, and test on sample models.
What ships with it
14 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/aspect-model-stereotypes.md 8.6 KB
- references/common-failures.md 2.0 KB
- references/inference-rules.md 3.0 KB
- references/json-blueprints.md 1.0 KB
- references/json-blueprints/body-level-wrapper.md 586 B
- references/json-blueprints/concept-refs.md 984 B
- references/json-blueprints/minimal-inference-rule.md 443 B
- references/json-blueprints/operator-mapping-and-examples.md 5.4 KB
- references/json-blueprints/validated-root-concept-references.md 6.0 KB
- references/lattice-rules.md 6.8 KB
- references/messages-and-helpers.md 2.4 KB
- references/non-typesystem-checking.md 1.5 KB
- references/quick-fixes.md 4.4 KB
- references/when-concrete.md 1.8 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.
- 8d ago Changed 24520defd3d4
- 29d ago Changed · +9 lines · +43 tokens per session 23b6c4ac7554
- 1mo ago Changed · +6 lines 1a55a64ffa5f
- 2mo ago First seen · 61 lines · 133 tokens per session scan A ce66e9929c61
mps-aspect-typesystem is a skill published in the GitHub repository JetBrains/MPS (1,666 stars, last pushed yesterday), licensed Apache-2.0. It adds 176 tokens to every session and 3,181 once invoked, about $0.0007 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-typesystem compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mps-aspect-typesystemJetBrains/MPS | Skill | 1.7k | yesterday | Apache-2.0 | A | 176 | 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 |