openclaw-test-heap-leaks

To diagnose memory leaks, the Skill analyzes heap snapshot deltas and retainer chains to pinpoint retained objects in long-running Node.js test workers. It specifically targets runtime closure leaks to optimize memory footprint and stability.

The best way to compare heap snapshots is by automatically identifying memory deltas between them to pinpoint retained object families. This process distinguishes between actual application-level memory leaks and retained module-transform artifacts in shared workers.

You validate fixes using a dedicated validation harness that verifies runtime cleanup patterns for closure leaks and state retention. This ensures your memory footprint optimizations remain stable across test runs.

Yes, you need a Node.js runtime environment. The Skill requires Node.js to execute its snapshot comparison scripts and validate memory cleanup patterns effectively.

Resident Set Size spikes occur due to memory growth and retained module-transform artifacts in shared workers. The Skill resolves this by analyzing heap snapshot deltas to classify leaks and target runtime closure leaks.

Yes, the Skill features leak classification that distinguishes between retained module-transform artifacts in shared workers and actual application-level memory leaks. This prevents false positives during heap snapshot analysis.