Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Monitor deployed skills for performance drift, errors, and unexpected behavior changes. Continuous post-deployment health checks with alerting and trend trac...
Monitor deployed skills for performance drift, errors, and unexpected behavior changes. Continuous post-deployment health checks with alerting and trend trac...
This item's current download entry is known to bounce back to a listing or homepage instead of returning a package file.
Use the source page and any available docs to guide the install because the item currently does not return a direct package file.
I tried to install a skill package from Yavira, but the item currently does not return a direct package file. Inspect the source page and any extracted docs, then tell me what you can confirm and any manual steps still required.
I tried to upgrade a skill package from Yavira, but the item currently does not return a direct package file. Compare the source page and any extracted docs with my current installation, then summarize what changed and what manual follow-up I still need.
Catch skill degradation before it becomes a crisis. Monitors response times, error rates, output drift, and resource usage for deployed skills.
Skills work fine during testing, then silently degrade in production. Free models change behavior, APIs add latency, memory leaks accumulate. By the time you notice, your agent has been running on broken skills for hours.
python3 {baseDir}/scripts/health_monitor.py check --skill <name> --cmd "python3 path/to/script.py"
python3 {baseDir}/scripts/health_monitor.py dashboard
python3 {baseDir}/scripts/health_monitor.py threshold --skill <name> --max-latency 5000 --max-errors 3
python3 {baseDir}/scripts/health_monitor.py report --json
python3 {baseDir}/scripts/health_monitor.py trend --skill <name> --period 24h
Latency: Execution time per invocation, p50/p95/p99 percentiles Error rate: Failed executions, error types, frequency Output drift: Detects when output format or content changes unexpectedly Resource usage: Memory and CPU at execution time Uptime: Availability over time windows (1h, 24h, 7d)
Console alerts when thresholds are exceeded JSON webhook support for external integrations Configurable per-skill thresholds
Health data is stored in ~/.openclaw/health/ as JSON files. One file per skill, rotated daily.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.