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-textgen/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-textgen)<a href="https://agentmods.dev/skills/jetbrains/mps/mps-aspect-textgen"><img src="https://agentmods.dev/badge/skills/jetbrains/mps/mps-aspect-textgen.svg" alt="Measured on agentmods" 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 | $0.00131 | $0.02210 |
| Opus 5 | $0.00066 | $0.01105 |
| Sonnet 5 | $0.00026 | $0.00442 |
| Haiku 4.5 | $0.00013 | $0.00221 |
Grade A, and why
mps-aspect-textgen 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MPS TextGen Aspect
TextGen turns a model (usually the output of generation) into plain text files. It is how BaseLanguage becomes .java on disk, and how any text-targeting language serialises its models. Lives in <lang>/languageModels/textGen.mps, language jetbrains.mps.lang.textGen. Rule bodies are BaseLanguage + smodel + textgen-specific statements (append, indent buffer, with indent).
Prerequisite for any insert: the textGen model must exist (mps_mcp_create_model with modelName: "<lang>.textGen" — aspect ID textGen, case-sensitive, no @ suffix; see aspect-model-stereotypes.md) and must import jetbrains.mps.lang.textGen, jetbrains.mps.baseLanguage, and jetbrains.mps.lang.smodel as used languages before the first mps_mcp_insert_root_node_from_json. Missing any of these three causes node inserts to fail with unresolved-concept errors. See step 1 of the Common-Path Workflow.
Critical Directives
- One
ConceptTextGenDeclarationroot per concept you want to serialise. Only the file-generating root concept needsextension/filename/encoding; structural concepts inside the file need onlytextGenBlock. extensionis a function body returning a string, not a literal property. It mustreturna string.- TextGen dispatch is concept-exact, not polymorphic. An extending concept that wants the parent's serialisation must declare its own
ConceptTextGenDeclaration(even an empty one) — or its output will be silently missing. Seereferences/dispatch-and-base-component.md. - The indentation buffer is a per-output-file depth counter.
with indent/increase depth/decrease depthand thewithIndentflag onNodeAppendPartonly mutate the counter — whitespace is emitted only whenindent bufferis called. Always pairappend \n ;withindent buffer ;on the next line that should be indented. Seereferences/indentation-model.md. - Prefer
with indent { ... }over pairedincrease depth ; … ; decrease depth ;— the block form cannot leak depth on an earlyreturnor exception. Use the paired form only when the scope is not a block. - Use TextGen only when the final artifact is text. If your pipeline ends in a model-to-model transformation targeting another MPS language (e.g. BaseLanguage), you don't need TextGen — that language's own TextGen handles the final step.
BinaryWriteOperation(write) cannot be mixed with textappends in the sameConceptTextGenDeclaration. A rule emits either text or bytes, not both.- The older
$ref{node.reference<target>}syntax is deprecated. Use aNodeAppendPartover a resolved node (or over.name). - Edit textGen models through MPS MCP tools (
mps_mcp_insert_root_node_from_json,mps_mcp_update_node). Do not hand-edit.mpsfiles. - After edits run
mps_mcp_check_root_node_problemsand rebuild the language; regenerate consumers.
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.
- references/common-failures.md 2.6 KB
- references/concept-textgen-root.md 3.2 KB
- references/delegating-to-behavior.md 1.4 KB
- references/dispatch-and-base-component.md 3.2 KB
- references/indentation-model.md 3.7 KB
- references/json-blueprints.md 15 KB
- references/layout-and-context-objects.md 4.5 KB
- references/statements-and-appends.md 4.4 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.
- 8d ago First seen · 62 lines · 131 tokens per session scan A 8f0d36f39191
mps-aspect-textgen is a skill published in the GitHub repository JetBrains/MPS (1,656 stars, last pushed yesterday), licensed Apache-2.0. It adds 131 tokens to every session and 2,210 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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