What is refactor:scikit-learn?

A code-review guide for scikit-learn, a Python library for machine learning. It helps turn working machine-learning code into maintainable, repeatable pipelines.

Use it to refactor preprocessing and machine-learning code into production-ready pipelines.

It helps prevent data leakage, where information from the test data accidentally influences training, and addresses other maintainability and reproducibility problems.

refactor:scikit-learn — Skill for Claude Code by SnakeO

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add SnakeO/claude-debug-and-refactor-skills-plugin --skill refactor-scikit-learn

Clone the repo

git clone --depth 1 https://github.com/SnakeO/claude-debug-and-refactor-skills-plugin

Made for: Claude Code.

Or install debug-and-refactor, the plugin that ships this one along with the rest of its 45 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/snakeo/claude-debug-and-refactor-skills-plugin/refactor-scikit-learn/github.svg)](https://agentmods.dev/skills/snakeo/claude-debug-and-refactor-skills-plugin/refactor-scikit-learn)

Your own site

<a href="https://agentmods.dev/skills/snakeo/claude-debug-and-refactor-skills-plugin/refactor-scikit-learn"><img src="https://agentmods.dev/badge/skills/snakeo/claude-debug-and-refactor-skills-plugin/refactor-scikit-learn/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/snakeo/claude-debug-and-refactor-skills-plugin/refactor-scikit-learn"><img src="https://agentmods.dev/badge/skills/snakeo/claude-debug-and-refactor-skills-plugin/refactor-scikit-learn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 5,811 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin unknown No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00094	$0.05811
Opus 5.5	$0.00038	$0.02324
Sonnet 5.5	$0.00019	$0.01162
Haiku 4.5	$0.00009	$0.00581

Measured 2mo ago against content hash abc037f6e7b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

refactor:scikit-learn scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/debug-and-refactor/skills/refactor-scikit-learn/SKILL.md · 849 lines

The source is not reproduced here

No licence file

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 849 lines · 94 tokens per session scan A abc037f6e7b9

Subscribe to this mod's changes

refactor:scikit-learn is a skill published in the GitHub repository SnakeO/claude-debug-and-refactor-skills-plugin (9 stars, last pushed 9mo ago), with no licence file. It adds 94 tokens to every session and 5,811 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Code review Languages Python

refactor:scikit-learn next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
refactor:scikit-learnSnakeO/claude-debug-and-refactor-skills-plugin	Skill	9	9mo ago	none	A	94	Claude Code
mcore-linting-and-formattingNVIDIA/skills	Skill	3.9k	yesterday	Apache-2.0	A	44	Claude Code
python-review-checklistawslabs/cli-agent-orchestrator	Skill	1.5k	today	Apache-2.0	A	20	Claude Code, Codex
splitting-oversized-modulesPostHog/posthog-foss	Skill	728	yesterday	MIT	A	197	Claude Code, Codex
splitting-oversized-modulesPostHog/posthog	Skill	41k	yesterday	none	A	197	Claude Code, Codex
best-practicesFradSer/dotclaude	Skill	596	2d ago	MIT	A	52	Claude Code
plankton-code-qualityloulanyue/awesome-claude-notes	Skill	271	1mo ago	MIT	A	34	Claude Code