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.
npx agentmods add skills/jetbrains/mps/registrynpx skills add JetBrains/MPS --skill registrygit 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/registry)<a href="https://agentmods.dev/skills/jetbrains/mps/registry"><img src="https://agentmods.dev/badge/skills/jetbrains/mps/registry.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00022 | $0.00596 |
| Opus 5 | $0.00011 | $0.00298 |
| Sonnet 5 | $0.00004 | $0.00119 |
| Haiku 4.5 | $0.00002 | $0.00060 |
Grade A, and why
registry 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 4d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Working with Registry
Guidelines for using the IntelliJ Registry API.
Documentation
- Defining Registry Keys: Registry.md - How to declare keys in
plugin.xmlorregistry.properties - Cloud Registry: Cloud Registry and Notifications.md - Remote registry updates for JetBrains IDEs
Quick Reference
Defining a Registry Key
Always prefer declaring in plugin.xml (not registry.properties):
<registryKey key="my.feature.enabled"
defaultValue="true"
description="Enables my feature"
restartRequired="false"/>
To override in a dependent plugin:
<registryKey key="my.feature.enabled"
defaultValue="false"
description="Enables my feature"
restartRequired="false"
overrides="true"/>
Accessing the Registry
In suspending code:
val isEnabled = RegistryManager.getInstanceAsync().get("my.key")
In blocking code:
val isEnabled = RegistryManager.getInstance().get("my.key")
Access via Registry.get() or Registry.is() is effectively deprecated, since it might cause problems during early IDE startup.
Always prefer the RegistryManager when possible.
Early Startup: Registry.is() with Default Value
When code may run before COMPONENTS_LOADED state (e.g., during EULA dialog, splash screen),
you MUST use Registry.is(key, defaultValue) with an explicit default:
// Required for early startup code
Registry.`is`("my.key", false) // default must match registry.properties
How to find the default value:
- Search in
community/platform/util/resources/misc/registry.properties - Or check the
<registryKey>declaration inplugin.xml
Why: Registry.is(key) without default throws an exception if called before
LoadingState.COMPONENTS_LOADED. The safe overload returns the provided default
when Registry is not yet initialized.
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.
- 4d ago First seen · 87 lines · 22 tokens per session scan A b66817aaf197
registry is a skill published in the GitHub repository JetBrains/MPS (1,658 stars, last pushed today), licensed Apache-2.0. It adds 22 tokens to every session and 596 once invoked, about $0.0001 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.
Other skills, from other repositories
langium
A comprehensive skill to understanding how Langium-based projects work — from grammar definition through code generation, runtime parsing, linking, validation, and LSP integration.
lai-gen-evals
Expand and refine the evaluation suite for a Langium DSL project. Generates comprehensive eval files that cover syntactic correctness, semantic validity, user intent matching, edge cases, and language understanding.
lai
Guide for using the langium-ai (LAI) CLI to generate language descriptors, synthesize system prompts, run evaluations, and iteratively refine AI-powered tooling in Langium projects. Use when working with lai commands, descriptors, or evaluation files.
lai-gen-descriptor
Generate or refine a language descriptor for a Langium DSL project. Bootstraps a new descriptor via lai gen descriptor if none exists, then guides refinement of paths, services, examples, documentation, and structure.
lai-gen-mcp
Generate a Model Context Protocol (MCP) server that exposes a Langium DSL's parser and validator as an MCP tool, allowing any MCP-compatible client to validate DSL code and receive diagnostics.
lai-gen-language-skill
Skill for generating a skill for understanding a specific Langium-based DSL. Used in cooperation with the lai & langium skills for understanding.