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Repair Memory Growth & Resource Leaks is a bounded ToolForge Labs workflow.
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Repair Memory Growth & Resource Leaks
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A Node.js worker grows by roughly 200–300 MB during a long batch. It registers event listeners per job, keeps a retry timer, buffers some payloads, and uses one shared HTTP client. I have heap-summary excerpts and the worker code but no production profiler access. Find the likely retention paths and propose a bounded repair and repeatability test.
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- Compiled the repair memory growth
I would first separate JavaScript heap retention from sockets/buffers and other external memory, then map each resource to one owner and one teardown path. The strongest suspects from the supplied evidence are per-job listeners that are never removed, retry timers surviving terminal job states, and payload buffers retained by closures or retry state. I would make registration idempotent where ownership is process-wide, bind job-scoped listeners/timers to a disposable lifecycle, clear retained buffers at terminal transitions, and preserve the shared HTTP client rather than creating clients per job. A deterministic harness should run many synthetic jobs with forced success/failure/retry/cancellation, record listener/timer/handle counts after each batch, force GC only in the isolated test when available, and compare post-settle heap/external-memory plateaus. I would not claim a production leak is fixed until the supplied profiler/metrics confirm the same retention path.
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About this skill
Repair Memory Growth & Resource Leaks is a bounded ToolForge Labs workflow. Diagnose and repair application memory growth and resource leaks across caches, listeners, timers, buffers, queues, file/socket handles, background tasks, object retention, and shutdown cleanup. Works from repositories or partial heap/log/config evidence. Produces bounded repairs and deterministic leak tests while preserving performance and lifecycle policy. It works from a full repository or partial supplied evidence. The skill separates verified facts from assumptions, preserves existing product/security policy, avoids invented execution claims, and returns concrete repair or review steps with deterministic validation or explicit remaining gaps.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for LLM Ops.
Cannot confirm leaks from single-point memory snapshots. Requires access to source code or specific profiler/log output for high-confidence diagnosis.
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Use a clean branch or controlled review workspace. Supply repository files, logs, traces, configuration, or evidence needed for the task. Review all patches/findings before merge or operational action; keep production credentials and destructive production actions out of the workflow.