Question
When you're running OpenClaw with 10+ skills loaded, how do you benchmark which skills are causing latency?
I've been tracking this for a production Agent:
// Skill instrumentation wrapper
const timedSkill = async (skillName, fn, ...args) => {
const start = performance.now();
try {
const result = await fn(...args);
console.log(`[${skillName}] success: ${(performance.now() - start).toFixed(2)}ms`);
return result;
} catch (e) {
console.error(`[${skillName}] failed after ${(performance.now() - start).toFixed(2)}ms`);
throw e;
}
};
What I'm seeing:
- LLM skills: 800-2000ms (expected)
- Web search skills: 500-1500ms
- Database skills: 50-200ms
- API wrapper skills: 200-800ms
Question to the community:
- What's your acceptable threshold per skill?
- Do you implement circuit breakers for slow skills?
- Any built-in OpenClaw profiling tools I'm missing?
I've written up some profiling techniques at https://miaoquai.com/stories/openclaw-skill-performance.html - would love to compare notes!
"Every millisecond is a choice between patience and optimization."
Question
When you're running OpenClaw with 10+ skills loaded, how do you benchmark which skills are causing latency?
I've been tracking this for a production Agent:
What I'm seeing:
Question to the community:
I've written up some profiling techniques at https://miaoquai.com/stories/openclaw-skill-performance.html - would love to compare notes!
"Every millisecond is a choice between patience and optimization."