Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Skill Health Monitor
Monitor deployed skills for performance drift, errors, and unexpected behavior changes. Continuous post-deployment health checks with alerting and trend trac...
skill openclawclawhub Free
Monitor deployed skills for performance drift, errors, and unexpected behavior changes. Continuous post-deployment health checks with alerting and trend trac...
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0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/health_monitor.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.0
Provenance
- Publisher
- Trypto1019
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Skill Health Monitor
Catch skill degradation before it becomes a crisis. Monitors response times, error rates, output drift, and resource usage for deployed skills.
Why This Exists
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.
Monitor a skill execution
python3 {baseDir}/scripts/health_monitor.py check --skill <name> --cmd "python3 path/to/script.py"
View health dashboard
python3 {baseDir}/scripts/health_monitor.py dashboard
Set alert thresholds
python3 {baseDir}/scripts/health_monitor.py threshold --skill <name> --max-latency 5000 --max-errors 3
Export health report
python3 {baseDir}/scripts/health_monitor.py report --json
View trends for a skill
python3 {baseDir}/scripts/health_monitor.py trend --skill <name> --period 24h
What It Tracks
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)
Alerting
Console alerts when thresholds are exceeded JSON webhook support for external integrations Configurable per-skill thresholds
Data Storage
Health data is stored in ~/.openclaw/health/ as JSON files. One file per skill, rotated daily.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- scripts/health_monitor.py