OpenClaw · Skill

openclaw-test-heap-leaks

Investigate OpenClaw pnpm test memory growth, Vitest OOMs, RSS spikes, and heap snapshot deltas.

Agents
vOfficial

Install

Start with the primary install command. Alternate entrypoints are included below for ClawHub and OpenClaw CLI users.

Primary command

openclaw install openclaw/openclaw-test-heap-leaks

ClawHub installer

npx clawhub@latest install openclaw/openclaw-test-heap-leaks

OpenClaw CLI

openclaw skills install openclaw/openclaw-test-heap-leaks

What this skill does

Investigate OpenClaw pnpm test memory growth, Vitest OOMs, RSS spikes, and heap snapshot deltas.

Typical use cases

Install this skill when you want a reusable OpenClaw workflow with clearer instructions than a one-off prompt.

Source instructions

OpenClaw Test Heap Leaks

Use this skill for test-memory investigations. Do not guess from RSS alone when heap snapshots are available. Treat snapshot-name deltas as triage evidence, not proof, until retainers or dominators support the call.

For runtime fixes (e.g., closure leaks in long-running services like the gateway), see Validating runtime fixes below — that uses a dedicated harness, not the test-parallel snapshot machinery.

Workflow

  1. Reproduce the failing shape first.
  • Match the real entrypoint if possible. For Linux CI-style unit failures, start with:
  • pnpm canvas:a2ui:bundle && OPENCLAW_TEST_MEMORY_TRACE=1 OPENCLAW_TEST_HEAPSNAPSHOT_INTERVAL_MS=60000 OPENCLAW_TEST_HEAPSNAPSHOT_DIR=.tmp/heapsnap OPENCLAW_TEST_WORKERS=2 OPENCLAW_TEST_MAX_OLD_SPACE_SIZE_MB=6144 pnpm test
  • Keep OPENCLAW_TEST_MEMORY_TRACE=1 enabled so the wrapper prints per-file RSS summaries alongside the snapshots.
  • If the report is about a specific shard or worker budget, preserve that shape.
  • Before you analyze snapshots, identify the real lane names from [test-parallel] start ... lines or pnpm test --plan. Do not assume a single unit-fast lane; local plans often split into unit-fast-batch-*.
  1. Wait for repeated snapshots before concluding anything.
  • Take at least two intervals from the same lane.
  • Compare snapshots from the same PID inside the real lane directory such as .tmp/heapsnap/unit-fast-batch-2/.
  • Use .agents/skills/openclaw-test-heap-leaks/scripts/heapsnapshot-delta.mjs to compare either two files directly or the earliest/latest pair per PID in one lane directory.
  • If the helper suggests transformed-module retention, confirm the top entries in DevTools retainers/dominators before calling it solved.
  1. Classify the growth before choosing a fix.
  • If growth is dominated by Vite/Vitest transformed source strings, Module, system / Context, bytecode, descriptor arrays, or property maps, treat it as likely retained module graph growth in long-lived workers.
  • If growth is dominated by app objects, caches, buffers, server handles, timers, mock state, sqlite state, or similar runtime objects, treat it as a likely cleanup or lifecycle leak.
  • If the names are ambiguous, stop short of a confident label and inspect retainers/dominators in DevTools for the top deltas.
  1. Fix the right layer.
  • For likely retained transformed-module growth in shared workers:
  • Prefer timing and hotspot-driven scheduling fixes first. Check whether the file is already represented in test/fixtures/test-timings.unit.json and whether scripts/test-update-memory-hotspots.mjs should refresh the measured hotspot manifest before hand-editing behavior overrides.
  • Move hotspot files out of the real shared lane by updating test/fixtures/test-parallel.behavior.json only when timing-driven peeling is insufficient.
  • Prefer singletonIsolated for files that are safe alone but inflate shared worker heaps.
  • If the file should already have been peeled out by timings but is absent from test/fixtures/test-timings.unit.json, call that out explicitly. Missing timings are a scheduling blind spot.
  • For real leaks:
  • Patch the implicated test or runtime cleanup path.
  • Look for missing afterEach/afterAll, module-reset gaps, retained global state, unreleased DB handles, or listeners/timers that survive the file.
  1. Verify with the most direct proof.
  • Re-run the targeted lane or file with heap snapshots enabled if the suite still finishes in reasonable time.
  • If snapshot overhead pushes tests over Vitest timeouts, fall back to the same lane without snapshots and confirm the RSS trend or OOM is reduced.
  • For wrapper-only changes, at minimum verify the expected lanes start and the snapshot files are written.

Heuristics

  • Do not call everything a leak. In this repo, large unit-fast or unit-fast-batch-* growth can be a worker-lifetime problem rather than an application object leak.
  • scripts/test-parallel.mjs and scripts/test-parallel-memory.mjs are the primary control points for wrapper diagnostics.
  • The lane names printed by [test-parallel] start ... and [test-parallel][mem] summary ... tell you where to focus.
  • When one or two files account for most of the delta and they are missing from timings, reducing impact by isolating them is usually the first pragmatic fix.
  • When the same retained object families grow across multiple intervals in the same worker PID, trust the snapshots over intuition, then confirm ambiguous calls with retainer evidence.

Snapshot Comparison

  • Direct comparison:
  • node .agents/skills/openclaw-test-heap-leaks/scripts/heapsnapshot-delta.mjs before.heapsnapshot after.heapsnapshot
  • Auto-select earliest/latest snapshots per PID within one lane:
  • node .agents/skills/openclaw-test-heap-leaks/scripts/heapsnapshot-delta.mjs --lane-dir .tmp/heapsnap/unit-fast-batch-2
  • Useful flags:
  • --top 40
  • --min-kb 32
  • --pid 16133

Read the top positive deltas first. Large positive growth in module-transform artifacts suggests lane isolation; large positive growth in runtime objects suggests a real leak. If the names alone do not settle it, open the same snapshot pair in DevTools and inspect retainers/dominators for the top rows before declaring root cause.

Validating runtime fixes (not test-memory)

The workflow above is for diagnosing Vitest worker memory growth. For validating that a runtime/closure fix actually releases captured state, use the dedicated harness:

  • pnpm leak:embedded-run — runs scripts/embedded-run-abort-leak.ts. Loops N

aborted runs in a function-shaped scope mimicking runEmbeddedAttempt, writes heap snapshots, and reports a PASS/FAIL verdict on retention growth using FinalizationRegistry for tracked-instance counting plus RSS delta.

Modes:

  • closure-extracted (default) — production fix shape (helper at module scope).
  • closure-inline — pre-fix shape (closure inside the runner scope). Use as a

sensitivity check: if it passes you've broken the harness, not fixed a bug.

  • synthetic-leak — deliberately retains via a module-level bucket. Use to

confirm the harness can detect leaks before trusting a PASS on a real fix.

Snapshots land in .tmp/embedded-run-abort-leak/. Diff with the same script as above:

node .agents/skills/openclaw-test-heap-leaks/scripts/heapsnapshot-delta.mjs \
  .tmp/embedded-run-abort-leak/baseline-*.heapsnapshot \
  .tmp/embedded-run-abort-leak/batch-N-*.heapsnapshot --top 30

When fixing a different runtime leak, add a new harness alongside this one rather than retrofitting it. The fixture function should mimic the lexical scope of the function where the leak lives, not be a generic abort-loop.

Output Expectations

When using this skill, report:

  • The exact reproduce command.
  • Which lane and PID were compared.
  • The dominant retained object families from the snapshot delta.
  • Whether the issue is a likely real leak or likely shared-worker retained module growth, plus whether retainers/dominators confirmed it.
  • The concrete fix or impact-reduction patch.
  • What you verified, and what snapshot overhead prevented you from verifying.

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