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-model-manipulation/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-model-manipulation)<a href="https://agentmods.dev/skills/jetbrains/mps/mps-model-manipulation"><img src="https://agentmods.dev/badge/skills/jetbrains/mps/mps-model-manipulation/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-model-manipulation"><img src="https://agentmods.dev/badge/skills/jetbrains/mps/mps-model-manipulation.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 | $0.00281 | $0.04493 |
| Opus 5.5 | $0.00112 | $0.01797 |
| Sonnet 5.5 | $0.00056 | $0.00899 |
| Haiku 4.5 | $0.00028 | $0.00449 |
Grade A, and why
mps-model-manipulation 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing MPS BaseLanguage with smodel
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.
Use this skill when authoring code inside an MPS model where BaseLanguage is mixed with the smodel extension: behavior methods, checking/typesystem/dataflow rules, generator query functions, intentions, constraints, scope/canBe callbacks. The mps_mcp_parse_java_and_insert parser understands only plain Java, so most non-trivial code requires hand-built node blueprints — this skill is the catalog.
To enumerate nodes/instances/usages across a scope (a whole project, module, model, or repository) rather than navigating from one root, add the jetbrains.mps.lang.smodel.query language — it supplies #instances / #usages / #nodes / #references / #models / #modules and a with (<scope>) { … } wrapper, the same queries the MPS Console runs. Its results compose with the smodel operations catalogued here and the collection operations of mps-collections-and-closures. See the mps-console skill.
Minimum reading set
references/ is a lookup catalog, not a syllabus. One file is enough to write the body. The
common failure here is the opposite: five catalogs (~60 KB) read to author one behavior method and one
checking rule.
| Body you are writing | Read only |
|---|---|
| a behavior method | references/dot-expression-basics.md |
| a typesystem inference rule or a checking rule | references/dot-expression-basics.md |
a scope or canBe* callback |
references/dot-expression-basics.md |
a generator query ($IF$ condition, $LOOP$ source, $REF$ target) |
references/dot-expression-basics.md |
What ships with it
26 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/attribute-access.md 8.4 KB
- references/baselanguage-key-concepts.md 1.6 KB
- references/concept-id-table.md 3.2 KB
- references/concurrent-access.md 4.3 KB
- references/dot-expression-basics.md 17 KB
- references/golden-rules-and-pitfalls.md 5.0 KB
- references/java-parser-capabilities.md 955 B
- references/java-parser-capabilities/collection-types.md 2.9 KB
- references/java-parser-capabilities/supported.md 2.1 KB
- references/java-parser-capabilities/unsupported-and-workarounds.md 8.9 KB
- references/link-and-concept-literals.md 10 KB
- references/node-equality.md 1.1 KB
- references/openapi-and-dependencies.md 5.8 KB
- references/property-and-mutation-ops.md 12 KB
- references/references-and-queries.md 5.5 KB
- references/smodel-concepts-catalog.md 1.1 KB
- references/smodel-concepts-catalog/attribute-access.md 1.7 KB
- references/smodel-concepts-catalog/concept-operations.md 2.0 KB
- references/smodel-concepts-catalog/creators.md 713 B
- references/smodel-concepts-catalog/feature-access-and-casts.md 2.1 KB
- references/smodel-concepts-catalog/modification-operations.md 4.5 KB
- references/smodel-concepts-catalog/query-operations.md 3.0 KB
- references/smodel-concepts-catalog/reference-enum-aspect-operations.md 1.7 KB
- references/smodel-concepts-catalog/types.md 572 B
- references/variable-declarations.md 6.8 KB
- references/workflows.md 4.5 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 · +3 lines · +22 tokens per session 11932fe2ca71
- 29d ago Changed · -1 lines · -3 tokens per session 1972f5f5a5d8
- 1mo ago Changed · +37 lines 79a2dbf8f18b
- 2mo ago First seen · 71 lines · 262 tokens per session scan A 42aef704213e
mps-model-manipulation is a skill published in the GitHub repository JetBrains/MPS (1,666 stars, last pushed yesterday), licensed Apache-2.0. It adds 281 tokens to every session and 4,493 once invoked, about $0.0011 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-model-manipulation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mps-model-manipulationJetBrains/MPS | Skill | 1.7k | yesterday | Apache-2.0 | A | 281 | 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 |