optimizetests

openclaw/openclaw

Installation

openclaw install openclaw/optimizetests

Summary

Optimize OpenClaw slow tests, imports, misplaced coverage, and CI wall time without dropping coverage.

SKILL.md

Optimize Tests

Goal: real OpenClaw test/runtime speedups with coverage intact. Do not add shards, skip assertions, weaken gates, or tune runner flags as the main fix.

Runbook

  1. Read docs/help/testing.md, docs/ci.md, and the scoped AGENTS.md files

for any subtree you will edit.

  1. Establish evidence before edits:
  • Full ranking: pnpm test:perf:groups --full-suite --allow-failures --output .artifacts/test-perf/<name>.json
  • Targeted file: timeout 240 /usr/bin/time -l pnpm test <file> --maxWorkers=1 --reporter=verbose
  • Import suspicion: add OPENCLAW_VITEST_IMPORT_DURATIONS=1 OPENCLAW_VITEST_PRINT_IMPORT_BREAKDOWN=1
  1. Attack highest-return hotspots first:
  • broad barrels or importActual() in hot tests
  • per-test vi.resetModules() plus fresh imports
  • expensive gateway/server/client setup where reset/reuse proves same behavior
  • core tests asserting extension-owned behavior
  • duplicated fixture construction or contract assertions
  1. Prefer production-quality fixes:
  • narrow runtime seams over broad mocks
  • pure helpers for static parsing/metadata
  • injected deps over module resets
  • extension-owned tests for bundled plugin/provider/channel behavior
  1. After each change, rerun the same benchmark and the proving test lane. Record

before/after wall time, Vitest duration, and max RSS when available.

  1. Run pnpm check:changed; run broader gates (pnpm check, pnpm test,

pnpm build) when touched surfaces require them.

  1. Commit scoped changes with scripts/committer "<conventional message>" <paths...>.

Push when requested. If CI is red, inspect with gh run list/view, fix, push, repeat until current CI is green or a blocker is proven unrelated.

Output

End with the pushed commit(s), before/after timings, gates run, current CI state, and any remaining tail lanes that need separate optimization.

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