ClawKeeper openclaw-test-heap-leaks

Investigate `pnpm test` memory growth, Vitest worker OOMs, and suspicious RSS increases in OpenClaw using the `scripts/test-parallel.mjs` heap snapshot tooling. Use when Codex needs to reproduce test-lane memory growth, collect repeated `.heapsnapshot` files, compare snapshots from the same worker PID, distinguish transformed-module retention from real data leaks, and fix or reduce the impact by patching cleanup logic or isolating hotspot tests.

install
source · Clone the upstream repo
git clone https://github.com/SafeAI-Lab-X/ClawKeeper
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/SafeAI-Lab-X/ClawKeeper "$T" && mkdir -p ~/.claude/skills && cp -r "$T/clawkeeper-watcher/.agents/skills/openclaw-test-heap-leaks" ~/.claude/skills/safeai-lab-x-clawkeeper-openclaw-test-heap-leaks && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/SafeAI-Lab-X/ClawKeeper "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/clawkeeper-watcher/.agents/skills/openclaw-test-heap-leaks" ~/.openclaw/skills/safeai-lab-x-clawkeeper-openclaw-test-heap-leaks && rm -rf "$T"
manifest: clawkeeper-watcher/.agents/skills/openclaw-test-heap-leaks/SKILL.md
source content

OpenClaw Test Heap Leaks

Use this skill for test-memory investigations. Do not guess from RSS alone when heap snapshots are available.

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.
  2. Wait for repeated snapshots before concluding anything.

    • Take at least two intervals from the same lane.
    • Compare snapshots from the same PID inside one lane directory such as
      .tmp/heapsnap/unit-fast/
      .
    • Use
      scripts/heapsnapshot-delta.mjs
      to compare either two files directly or the earliest/latest pair per PID in one lane directory.
  3. 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 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.
  4. Fix the right layer.

    • For retained transformed-module growth in shared workers:
    • Move hotspot files out of
      unit-fast
      by updating
      test/fixtures/test-parallel.behavior.json
      .
    • 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.
  5. 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
    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.

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
  • 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.

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 real leak or shared-worker retained module growth.
  • The concrete fix or impact-reduction patch.
  • What you verified, and what snapshot overhead prevented you from verifying.