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-dataflow/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-dataflow)<a href="https://agentmods.dev/skills/jetbrains/mps/mps-aspect-dataflow"><img src="https://agentmods.dev/badge/skills/jetbrains/mps/mps-aspect-dataflow/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-dataflow"><img src="https://agentmods.dev/badge/skills/jetbrains/mps/mps-aspect-dataflow.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 | $0.00116 | $0.02433 |
| Opus 5.5 | $0.00046 | $0.00973 |
| Sonnet 5.5 | $0.00023 | $0.00487 |
| Haiku 4.5 | $0.00012 | $0.00243 |
Grade A, and why
mps-aspect-dataflow 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MPS Dataflow 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 dataflow aspect (jetbrains.mps.lang.dataFlow, l:7fa12e9c-b949-4976-b4fa-19accbc320b4) lets a language describe how control and data flow through nodes of a concept. MPS uses that information for reachability analysis, uninitialised-variable checks, and (via IBuilderMode) richer flow analyses such as nullable tracking.
Mental Model
Each DataFlowBuilderDeclaration answers: given a node of concept X, in what order might execution visit its children, and which variables are read or written?
The builder body is a BL StatementList (inside a BuilderBlock). You use normal BL control flow (if, foreach, local variables) to compute which emit instructions to output at runtime. The node implicit parameter (concept NodeParameter) is always in scope — its type is the concept referenced by conceptDeclaration, giving smodel-typed access to children and references.
The MPS dataflow engine builds a control-flow graph from the emitted instructions, then runs analyses (unreachable code, uninitialised variable reads) on that graph. The engine only traces the paths you declare; if no builder exists for a concept, MPS falls back to delegating all children in declaration order.
Critical Directives
code foris delegation, not a call. Never usejumpfor child delegation. UseEmitCodeForStatementto inline a child's own builder at this point.ifjumpis a two-way branch; by BaseLanguage's convention it jumps when the condition is FALSE. Emit it aftercode for node.condition, towards the else branch, to model anif; a builder may use it the other way (||jumps when its left side is true).- An
if's else branch is aBlockStatementwrapping aStatementList.IfStatement.ifFalseStatementrejects a bareStatementList; see references/json-patterns/pattern-4-if-statement.md. - Labels are node references, not string lookups.
EmitLabelStatement.nameis display-only; jumps reference the label node viaLabelPosition.label. Two labels with the same string are still distinct targets. - Always null-guard
0..1children with BLif (node.child != null)before emittingcode for node.child. write nodevswrite node.link: usewrite node(justNodeParameteras the variable expression) when the concept node is the variable being declared. Usewrite node.link(viaSLinkAccess) when the node merely references the variable being written.- Leaf concepts need no builder. The engine treats unbuilt concepts as no-ops, or for ordinary parents delegates to children in declaration order.
- Do not hand-edit serialized
.mpsdataflow files. Use MPS MCP node tools.
What ships with it
16 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/baselanguage-builder-index.md 1.8 KB
- references/concept-catalog.md 2.8 KB
- references/json-patterns.md 1.8 KB
- references/json-patterns/pattern-1-variable-read.md 1.6 KB
- references/json-patterns/pattern-2-minimal-delegation.md 1.5 KB
- references/json-patterns/pattern-3-return-statement.md 5.2 KB
- references/json-patterns/pattern-4-if-statement.md 2.7 KB
- references/json-patterns/pattern-5-while-loop.md 2.8 KB
- references/json-patterns/pattern-6-assignment.md 862 B
- references/json-patterns/pattern-7-concept-is-the-variable.md 1.3 KB
- references/json-patterns/pattern-8-exit-to-enclosing-container.md 2.4 KB
- references/json-patterns/pattern-9-inverted-condition.md 1.0 KB
- references/rules-and-pitfalls.md 3.3 KB
- references/sample-language-reference.md 485 B
- references/setup-and-engine.md 808 B
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 · +1 lines 81dba61dae94
- 11d ago Changed · +12 lines bd322a6f8e9b
- 1mo ago Changed · +6 lines bbb0f5662a66
- 2mo ago First seen · 53 lines · 116 tokens per session scan A 2a0d200ccdcc
mps-aspect-dataflow is a skill published in the GitHub repository JetBrains/MPS (1,666 stars, last pushed yesterday), licensed Apache-2.0. It adds 116 tokens to every session and 2,433 once invoked, about $0.0005 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-dataflow compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mps-aspect-dataflowJetBrains/MPS | Skill | 1.7k | yesterday | Apache-2.0 | A | 116 | Claude Code, Codex |
| langiumeclipse-langium/langium-ai | Skill | 31 | 4d ago | MIT | A | 33 | 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 |
| dotnet-reversezhaoxuya520/reverse-skill | Skill | 44k | 1mo ago | MIT | A | 144 | Claude Code |
| dart-run-static-analysisflutter/agent-plugins | Skill | 3.2k | 2d ago | BSD-3-Clause | A | 43 | Claude Code |