MPS: Skill for Claude Code

.agents/skills/mps-aspect-structure-concepts/SKILL.md

mps-aspect-structure-concepts is a skill for Claude Code, Codex from JetBrains/MPS. It costs 87 tokens per session (2,694 once invoked), scanned A, original, Apache-2.0.

Rules for defining the concepts, interfaces, enumerations, and constrained data types in an MPS language. MPS is JetBrains' tool for building custom programming languages.

In plain words
What is it for?
It helps author or change language concepts, interface concepts, enumerations, constrained data types, reference-like concepts, and their editor-facing aliases.
Why use it?
It helps keep the language structure correct, including names, aliases, references, child counts, and how users create concepts in the editor.

Skill for Claude CodeCodex ✓ vendor

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

This is JetBrains/MPS's own configuration. It tells Claude Code and Codex how to work on MPS itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything MPS configures →

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 · 1,666 stars · on GitHub · jetbrains.com

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/JetBrains/MPS/master/.agents/skills/mps-aspect-structure-concepts/SKILL.md
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.

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README.md
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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.

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Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,694 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00087 $0.02694
Opus 5.5 $0.00035 $0.01078
Sonnet 5.5 $0.00017 $0.00539
Haiku 4.5 $0.00009 $0.00269

Measured 2d ago against content hash 8461bdb5d632, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mps-aspect-structure-concepts 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.

.agents/skills/mps-aspect-structure-concepts/SKILL.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MPS Structure Aspect — Concepts

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.

Concepts (ConceptDeclaration), interface concepts (InterfaceConceptDeclaration), enumerations (EnumerationDeclaration), and constrained data types (ConstrainedDataTypeDeclaration) are root nodes in a language's structure model. They use the language jetbrains.mps.lang.structure.

Critical Directives

  • Implement INamedConcept instead of declaring name directly. A name property declared directly on a concept is an antipattern in MPS — implement jetbrains.mps.lang.core.structure.INamedConcept instead.
  • Smart reference check (CRITICAL): before setting a conceptAlias, determine whether the concept is an "Implicit Smart Reference". If it has exactly one mandatory reference and no properties or children of its own, do NOT set a conceptAlias — the concept should be transparent in the editor and completion menu so the user types the target's name directly. Examples: variable references, method calls, routine calls.
  • Leave alias empty on transparent collections too (e.g. StatementList).
  • Set alias on concepts that can be root — that's how the user reaches them through the new-root menu.
  • A language is published unless the user or the task says it is local. On a published language, never delete a feature or make one stricter unless the owner explicitly asks (see the reference below for how); on a local language with instances, do it only together with a Console migration of the existing values. Such a change breaks existing models, and the tools still answer ok:true. See references/language-evolution.md in the mps-aspect-migrations skill root after loading that companion skill from the same origin.
  • Always rebuild the language with mps_mcp_alter_nodes MAKE and rebuild="true" after structural changes, so the new concepts are discoverable by runtime tools.

Read the full file on GitHub · 137 lines

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. 2d ago Changed · +1 lines 8461bdb5d632
  2. 1mo ago Changed · +69 lines 3b0977b1088c
  3. 2mo ago First seen · 67 lines · 87 tokens per session scan A 7e4da8bb554d

Subscribe to this mod's changes

mps-aspect-structure-concepts is a skill published in the GitHub repository JetBrains/MPS (1,666 stars, last pushed yesterday), licensed Apache-2.0. It adds 87 tokens to every session and 2,694 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.

Related

mps-aspect-structure-concepts compared with skills from other repositories

mps-aspect-structure-concepts next to 6 skills from other repositories
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mps-aspect-structure-conceptsJetBrains/MPSSkill1.7kyesterdayApache-2.0A87Claude Code, Codex
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lai-gen-descriptoreclipse-langium/langium-aiSkill314d agoMITA49Claude Code
lai-gen-mcpeclipse-langium/langium-aiSkill314d agoMITA43Claude Code
lai-gen-language-skilleclipse-langium/langium-aiSkill314d agoMITA33Claude Code
triton-syntaxmindspore-ai/akgSkill2652d agoApache-2.0A21Claude Code, Codex
triton-ascendmindspore-ai/akgSkill2652d agoApache-2.0A28Claude Code, Codex