Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Agent Metrics
Monitor AI agent calls, errors, latency, and resource usage with a terminal dashboard and JSON export for observability and metrics tracking.
skill openclawclawhub Free
Monitor AI agent calls, errors, latency, and resource usage with a terminal dashboard and JSON export for observability and metrics tracking.
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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
- metrics.py, SKILL.md
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
- 1.0.5
Provenance
- Publisher
- nantes
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Agent Metrics Skill
Track and monitor your AI agent's behavior with built-in observability. Files included: metrics.py - Python CLI (cross-platform) agent-metrics.ps1 - PowerShell wrapper (Windows)
What it does
Call Tracking - Count API calls, messages, tasks Error Logging - Track errors with stack traces Latency Metrics - Measure response times Resource Usage - CPU, memory, network Simple Dashboard - Terminal-based metrics view Export - JSON export for external dashboards
Installation
# Install Python dependency pip install psutil
Option 1: PowerShell (recommended on Windows)
.\agent-metrics.ps1 -Action record -MetricType call -Label "api_openai"
Option 2: Python CLI (cross-platform)
python metrics.py record --type call --label "api_openai"
Record an Error
.\agent-metrics.ps1 -Action record -MetricType error -Label "api_error" -Details "Rate limit exceeded"
Record Latency
.\agent-metrics.ps1 -Action record -MetricType latency -Label "task_process" -Value 1500
View Dashboard
.\agent-metrics.ps1 -Action dashboard
View Resource Usage (CPU, Memory, Disk)
.\agent-metrics.ps1 -Action resources
Export Metrics
.\agent-metrics.ps1 -Action export -Format json -Output metrics.json
Get Summary
.\agent-metrics.ps1 -Action summary
Metrics Types
TypeDescriptionFieldscallAPI call madelabel, timestamperrorError occurredlabel, details, timestamplatencyResponse time (ms)label, value, timestampcustomCustom metriclabel, value
Dashboard Example
βββββββββββββββββββββββββββββββββββββββββββββββββ β AGENT METRICS DASHBOARD β β ββββββββββββββββββββββββββββββββββββββββββββββββ£ β Total Calls: 1,247 β β Total Errors: 23 β β Error Rate: 1.84% β β Avg Latency: 234ms β β Uptime: 4h 32m β β ββββββββββββββββββββββββββββββββββββββββββββββββ£ β Top Labels: β β api_openai 892 (71.5%) β β api_claude 234 (18.8%) β β task_process 121 (9.7%) β βββββββββββββββββββββββββββββββββββββββββββββββββ
Requirements
Python 3.8+ psutil library
License
MIT
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
- metrics.py