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Get Started Free →jeremylongshore/detecting-memory-leaks
Detect potential memory leaks and analyze memory usage patterns in code.
Passed 7 of 22 test cases with the skill, and 15 of 22 without it.
1 fixed19 passed either way1 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
A Python logging setup appends log record objects to a module-level list `LOG_HISTORY = []` for debugging. In production, this causes steady memory growth. What is the recommended fix while retaining structured logging?
| Checked | Without skill | With skill |
|---|---|---|
| The response states that global lists retain referenced log objects indefinitely. | Missed | Passed |
| The response recommends using deque with a maxlen parameter. | Passed | Passed |
The instructions your model reads when the skill loads.
Detect and diagnose memory leaks in Node.js, Python, and JVM applications by analyzing event listeners, closures, unbounded caches, and retained references.
This skill helps you identify and resolve memory leaks in your code. By analyzing your code for common memory leak patterns, it can help you improve the performance and stability of your application.
This skill activates when you need to:
User request: "detect memory leaks in my event handling code"
The skill will:
User request: "analyze memory usage to find excessive cache growth"
The skill will:
test cases passed, vs 15 / 22 without
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