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Real-time streaming sliding-window anomaly and burst detector using z-score and EWMA for spikes
npx @getmcp/cli add io.github.alphaparkinc/genpark-sliding-window-rate-anomaly-detector-skillRequires Python 3.10+. Community-contributed server. Review source before installing.
Config file: ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"io.github.alphaparkinc/genpark-sliding-window-rate-anomaly-detector-skill": {
"command": "https://github.com/Alpha-Park/genpark-sliding-window-rate-anomaly-detector-skill/releases/download/v1.0.1/genpark-sliding-window-rate-anomaly-detector-skill-v1.0.1.mcpb"
}
}
}Run efficiency for coding agents: share of paid tokens that became output, not context re-reading.
Read your Condux issues, events and stack traces (deminified with source maps). Triage optional.
cotal.ai actions: product overview, site search, build log, feedback, Cloud waitlist, updates, calls
Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.