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Profile offline OpenClaw skill run samples to detect latency, CPU, and memory bottlenecks and compare sessions.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Generate safer OpenClaw configuration baselines and audit existing config files for exposure, missing controls, and secret hygiene issues.
clean fixture
malicious fixture
Scan OpenClaw skill directories for high-signal security risks such as download-and-execute chains, obfuscated execution, and suspicious callbacks.
Calculate OpenClaw usage cost from offline event logs, apply budget thresholds, and export operator-facing reports.
avoid fixture
| name | skill-profiler |
| description | Profile offline OpenClaw skill run samples to detect latency, CPU, and memory bottlenecks and compare sessions. |
| homepage | https://github.com/mike007jd/openclaw-skills/tree/main/skill-profiler |
| metadata | {"openclaw":{"emoji":"📈","requires":{"bins":["node"]}}} |
Analyze offline sample sets and surface the slowest or heaviest skills before they become production regressions.
latencyMs, cpuMs, and memoryMb.node {baseDir}/bin/skill-profiler.js run --input ./samples.json
node {baseDir}/bin/skill-profiler.js report --input ./samples.json --out ./report.html
node {baseDir}/bin/skill-profiler.js compare --left ./v1.json --right ./v2.json
[
{
"sessionId": "s1",
"skill": "clawshield",
"latencyMs": 1320,
"cpuMs": 910,
"memoryMb": 240
}
]