ClaudSkills / Science & Research / math-stats

Monitor Model Drift

Q: What is a Claude Code skill and how does the Monitor Model Drift skill fit in?

A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Monitor Model Drift is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at https://claudskills.com/learn/what-is-skill-md/.

Category: Science & Research · Sub-category: math-stats · Last updated: 2026-06-08

Implement model drift monitoring using Evidently AI, statistical tests (PSI, KS), and custom metrics to detect data drift and concept drift in production ML systems. Set up automated alerting and reporting workflows to catch degradation before it impacts business metrics. Use when production models show unexplained performance degradation, when new data distributions differ from training data, when seasonal shifts affect input features, or when regulatory requirements mandate model monitoring.

About this skill (catalog notes)

Monitor Model Drift includes a dedicated installation section; 9 code blocks for direct copy-paste. The SKILL.md runs to about 1,044 words, in the catalog's typical mid-range.

Source: pjt222.github.io/agent-almanac
License: MIT
Original author: pjt222
Indexed lastmod: 2026-06-08
Catalog position: Science & Research · math-stats
Indexed related skills: 10

How Monitor Model Drift fits the catalog

Monitor Model Drift sits in the Science & Research category under the math-stats sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.

These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.

From the source SKILL.md

Detect and alert on data drift and concept drift in production ML models using statistical tests and automated monitoring.

What this skill does

Monitor Model Drift is a community-contributed Claude Code skill in the math-stats sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/monitor-model-drift/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when production models show unexplained performance degradation, when new data distributions differ from training data, when seasonal shifts affect input features, or when regulatory requirements mandate model monitoring.

Who uses this skill

The Monitor Model Drift Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 94,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/monitor-model-drift
curl -L https://claudskills.com/skills/monitor-model-drift/SKILL.md \
  -o ~/.claude/skills/monitor-model-drift/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/monitor-model-drift/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/monitor-model-drift/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\monitor-model-drift\SKILL.md on Windows. See the full install guide for step-by-step instructions.

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

See pricing → Download desktop app

Frequently asked questions

How do I install the Monitor Model Drift Claude Code skill?

Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/monitor-model-drift/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.

What does the Monitor Model Drift skill do?

Is this skill free to install?

Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.

When should I use the Monitor Model Drift skill?

Use Monitor Model Drift when your Claude Code task falls under the Science & Research category — specifically in the math stats area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Monitor Model Drift" or describe the task and let Claude pick). Browse related skills at /category/science/.

What is a Claude Code skill and how does the Monitor Model Drift skill fit in?

A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Monitor Model Drift is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Source: https://github.com/pjt222/agent-almanac/blob/HEAD/i18n/caveman-lite/skills/monitor-model-drift/SKILL.md
License: MIT
Author: pjt222
Website: https://pjt222.github.io/agent-almanac/

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA

pjt222. (2026). Monitor Model Drift [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/monitor-model-drift/

BibTeX

@misc{monitor-model-drift-2026,
  author    = {pjt222},
  title     = {Monitor Model Drift [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/monitor-model-drift/}
}

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