Channel Stability Monitor

Overview

channel-stability-monitor reviews channel telemetry and turns messy reliability signals into a clear health verdict. It checks failure rates, reconnect churn, heartbeat misses, queue buildup, and fallback coverage, then gives operators an evidence-backed stability score with practical next actions before flaky channels become outages.

Key Features

• Checks failure rates, reconnect churn, and heartbeat misses
• Flags queue buildup and fallback coverage gaps
• Produces an evidence-backed stability verdict and score
• Gives practical next actions for reliability issues

Use Cases

• Operators running Telegram, Discord, or Slack automations
• Teams troubleshooting reconnect loops, latency spikes, or backlog
• Anyone adding channel monitoring without a full observability stack

Requirements

• Python 3
• JSON telemetry snapshot file for the channel being assessed
• No external Python dependencies, standard library only
• OpenClaw v2026.3.23 or later recommended
• No API keys required

Example Usage

python3 scripts/channel_stability_monitor.py --telemetry path/to/channel-telemetry.json

Getting Started

After purchase, download and extract the skill package, then copy it into your OpenClaw skills directory.

cp -r channel-stability-monitor/ ~/.openclaw/workspace/skills/

Documentation

Full usage notes are included with the skill package. Check the bundled SKILL.md and scripts for exact commands and configuration.

Support

Have questions? Visit GetAgentIQ.ai for documentation and support channels.