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/debuggingnpx skills add JetBrains/MPS --skill debugginggit clone --depth 1 https://github.com/JetBrains/MPSWhat 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 | $0.00451 |
| Opus 5 | $0.00011 | $0.00226 |
| Sonnet 5 | $0.00004 | $0.00090 |
| Haiku 4.5 | $0.00002 | $0.00045 |
Grade A, and why
debugging 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 yesterday.
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.
What it actually says
Debugging
Documentation
- Logger FAQ - Frequently asked questions about logging
- How to Investigate Freezes - Diagnosing IDE freezes
- Exception Analyzing FAQ - Analyzing and categorizing exceptions
Searching idea.log
When debugging IntelliJ code, search idea.log using these patterns:
Log Levels:
FINE= debug level (fromLOG.debug { })INFO= info level (fromLOG.info())
Category Format:
#<abbreviated.package.path>.<ClassName>
Example: com.intellij.openapi.wm.impl.status.IdeStatusBarImpl → #c.i.o.w.i.s.IdeStatusBarImpl
Search Examples:
# Debug logs from IdeStatusBarImpl
grep "FINE - #c.i.o.w.i.s.IdeStatusBarImpl" idea.log
# Info logs from IdeStatusBarImpl
grep "INFO - #c.i.o.w.i.s.IdeStatusBarImpl" idea.log
# All logs from a class
grep "#c.i.o.w.i.s.IdeStatusBarImpl" idea.log
End-to-End Behavior
When fixing issues where a user-facing entry point (script, command, API) doesn't behave as expected:
- Trace the full execution chain from entry point to actual executor before making changes
- Identify all layers that handle the relevant behavior - each layer may swallow, transform, or ignore it
- Verify the fix at the entry point the user actually invokes, not just at the layer you modified
- Add debugging output if still unsure - add to all layers to trace the issue
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.
- yesterday First seen · 47 lines · 22 tokens per session scan A 5e55cb1cdd62
debugging is a skill published in the GitHub repository JetBrains/MPS (1,656 stars, last pushed 2d ago), licensed Apache-2.0. It adds 22 tokens to every session and 451 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.
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lai-gen-descriptor
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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.