Benchmark and optimize OpenClaw tests to reduce CI wall time.
npx skills add https://github.com/majunbao/learn --skill optimizetests-majunbao
Please help me install this Agent Skill. Skill: optimizetests Source: https://github.com/majunbao/learn/tree/main/openclaw_tags/openclaw-2026.4.24/.agents/skills/optimizetests Command: npx skills add https://github.com/majunbao/learn --skill optimizetests-majunbao
OpenClaw's test suite often suffers from slow tests, duplicated imports, misaligned coverage, and long CI wall times. This Skill targets identifying and addressing these bottlenecks without sacrificing coverage.
Run the optimizetests plan to benchmark hotspots, apply fixes, and push improvements while maintaining full test coverage.
High-intent search queries and answers about installing and using this skill.
Test benchmarking measures individual test execution times to identify performance bottlenecks and hotspots. By quantifying the impact of changes on the test suite, it helps target slow tests and heavy imports for optimization, ensuring evidence collection for controlled refactors.
You can reduce CI wall time by targeting slow tests and heavy imports identified through benchmarking. Applying controlled refactors to duplicated setup and expensive imports optimizes the test suite, shaving off execution time while maintaining 100% test coverage in your CI gates.
Yes, optimizing tests without sacrificing coverage is possible by applying controlled refactors to slow tests and heavy imports. The approach emphasizes evidence collection, hotspot targeting, and verification to ensure that test coverage remains intact while reducing CI wall time.
Slow CI wall times often result from duplicated imports, misaligned coverage in CI gates, and heavy setup overhead. Benchmarking identifies these specific hotspots so you can apply controlled refactors to reduce expensive imports and duplicated setup without losing test coverage.
Yes, benchmarking test execution time is required before optimizing to collect evidence on slow tests and heavy imports. Measuring execution time quantifies the impact of changes, ensuring controlled refactors target actual hotspots effectively while maintaining full test coverage.
borealBytesBenchmark OpenClaw test and plugin-suite runtimes to diagnose performance bottlenecks.
brikkoAIBenchmark Brikko Studio test suites and diagnose performance hotspots.
tomzxDetect and rank duplicated code blocks across multi-language repositories.
wangqianCAIOptimizes OpenClaw test suite performance by refactoring high-latency patterns and inefficient imports.
