mps-aspect-typesystem

mps-aspect-typesystem is a skill for Claude Code, Codex from JetBrains/MPS. It costs 133 tokens per session (2,129 once invoked), scanned A, original, Apache-2.0.

A set of JetBrains MPS rules for determining types and reporting code errors. JetBrains MPS is a tool for building custom programming languages.

In plain words
What is it for?
Writing or debugging inference rules, subtype checks, validation rules, quick fixes, and highlighted error or warning messages.
Why use it?
It helps keep type inference and semantic checking consistent, so language code can identify invalid programs and explain the problem.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

About the project

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.

JetBrains/MPS · 1,658 stars · on GitHub · jetbrains.com

Install

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.

agentmods
npx agentmods add skills/jetbrains/mps/mps-aspect-typesystem
Any agent
npx skills add JetBrains/MPS --skill mps-aspect-typesystem
Clone the repo
git clone --depth 1 https://github.com/JetBrains/MPS

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for mps-aspect-typesystem

README.md
[![agentmods](https://agentmods.dev/badge/skills/jetbrains/mps/mps-aspect-typesystem.svg)](https://agentmods.dev/skills/jetbrains/mps/mps-aspect-typesystem)
Your own site
<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="Measured on agentmods" height="20"></a>
Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,129 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00133 $0.02129
Opus 5 $0.00067 $0.01064
Sonnet 5 $0.00027 $0.00426
Haiku 4.5 $0.00013 $0.00213

Measured 6d ago against content hash ce66e9929c61, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

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 6d 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.

.agents/skills/mps-aspect-typesystem/SKILL.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MPS Typesystem and Checking Aspect

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 infer prefix makes an inequation soft (the solver tries to satisfy it, will not immediately error). Without infer, violating the inequation reports an error. Choose deliberately.
  • In equation/inequation JSON, both leftExpression and rightExpression are TypeClause slots — always wrap the real Expression in a NormalTypeClause (normalType child holds the actual Expression). Do not put the Expression directly under leftExpression/rightExpression.
  • TextGen-style dispatch caveat does not apply here; typesystem rules are inherited via concept hierarchy, but the overrides property 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 raw toString.
  • 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 the helginsIntention slot (TypesystemIntention wrapper with quickFix ref + actualArguments). See references/quick-fixes.md.
  • Reusable helper code (utility classes, shared algorithms) can live as a plain BaseLanguage ClassConcept root 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 back List<SNode> — fix per mps-model-manipulation/references/variable-declarations.md.
  • 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 .mps files.
  • After edits run mps_mcp_check_root_node_problems, compile the language, and test on sample models.

Read the full file on GitHub · 61 lines

Files

What ships with it

8 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.

Changes

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.

  1. 6d ago First seen · 61 lines · 133 tokens per session scan A ce66e9929c61

Subscribe to this mod's changes

mps-aspect-typesystem is a skill published in the GitHub repository JetBrains/MPS (1,658 stars, last pushed yesterday), licensed Apache-2.0. It adds 133 tokens to every session and 2,129 once invoked, about $0.0007 per session on Opus 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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