baseline

Compute 24-hour Acquia log fingerprint velocity baselines and update .claude/drover.baselines.json.

Updated Feb 28, 2026

Search Tags:#monitoring #python #log analysis #triage #acquia #fingerprint velocity #baseline computation

Ready to run

npx skills add https://github.com/cosmicdreams/claude-plugins --skill baseline-cosmicdreams

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: baseline
Source: https://github.com/cosmicdreams/claude-plugins/tree/main/drover/skills/baseline
Command: npx skills add https://github.com/cosmicdreams/claude-plugins --skill baseline-cosmicdreams

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It eliminates guesswork in monitoring by computing a 24-hour baseline of Acquia log fingerprint velocity across configured environments, so escalating error patterns can be detected reliably.

Core Features & Use Cases

24-hour Acquia log download + fingerprinting: Runs a long-window baseline over all Acquia environments, then aggregates hourly-rate velocity into rising/stable/falling classifications.
Baseline persistence for triage: Updates .claude/drover.baselines.json with per-fingerprint counts and velocity labels that downstream triage logic can use.
Run with scheduling or ad hoc control: Supports manual execution and a loop-style schedule, including optional filtering to a single environment (e.g., production).

Quick Start

Run the baseline computation for all configured Acquia environments by executing: /drover:baseline.

Frequently Asked Questions about baseline

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I compute a 24-hour Acquia log baseline for error velocity monitoring?▼

To compute a 24-hour Acquia log baseline, download logs across configured environments and aggregate hourly fingerprint velocity into rising, stable, or falling classifications. This establishes a reliable baseline for detecting escalating error patterns and reducing monitoring noise.

What is fingerprint velocity baseline computation and how does it reduce monitoring noise?▼

Fingerprint velocity baseline computation aggregates hourly error rates from Acquia logs into rising, stable, or falling classifications. By persisting these per-fingerprint counts, downstream triage logic can distinguish genuine escalation anomalies from routine background noise.

Do I need acli and drover configuration to run Acquia log baseline computation?▼

Yes, running Acquia log baseline computation requires a local authenticated acli session and valid drover configuration. The Skill performs preflight checks for both before downloading 24-hour logs and updating the baseline persistence file.

Can I filter Acquia error baseline computation to a single environment like production?▼

Yes, you can filter Acquia error baseline computation to a single environment such as production. The baseline computation supports optional per-environment filtering, allowing you to target specific environments during initial setup or post-deployment recalibration.

When should I recalibrate Acquia log baselines after a deployment?▼

You should recalibrate Acquia log baselines immediately after a deployment to capture new error patterns. Recalibration downloads fresh 24-hour logs, recomputes fingerprint velocity, and updates the baseline file to ensure triage logic detects post-deployment anomalies accurately.

What is the best way to schedule long-window Acquia baseline refresh runs?▼

The best way to schedule long-window Acquia baseline refresh runs is using the built-in loop-style scheduling mechanism. This automates the 24-hour log download and fingerprint aggregation process, ensuring baseline data stays current for ongoing triage and escalation detection.