agentmods.dev

scikit-learn

scikit-learn is a skill for Kiro from ihatesea69/kiro-kit. It costs 31 tokens per session (271 once invoked), scanned A, original, MIT.

A guide for classical machine learning with scikit-learn, a Python library for tasks such as classification, prediction, clustering, and data preparation.

In plain words
What is it for?
Use it to create preprocessing pipelines, engineer features, train classification or regression models, tune settings, and evaluate results with cross-validation.
Why use it?
It helps prevent common mistakes such as data leakage and unsupported performance claims while building and evaluating models.

Skill for Kiro

Written for Kiro: installed under .kiro/.

not rated 19repo 2mo ago A scan SkillSpector: pass 31 tokens original MIT

Good fit Use it to create preprocessing pipelines, engineer features, train classification or regression models, tune settings, and evaluate results with cross-validation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ihatesea69/kiro-kit/scikit-learn
View source ↗ ihatesea69/kiro-kit ihatesea69.github.io
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 ihatesea69/kiro-kit --skill scikit-learn
Clone the repo
git clone --depth 1 https://github.com/ihatesea69/kiro-kit

Made for: Kiro.

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.

agentmods badge for scikit-learn

README.md
[![agentmods](https://agentmods.dev/badge/skills/ihatesea69/kiro-kit/scikit-learn/github.svg)](https://agentmods.dev/skills/ihatesea69/kiro-kit/scikit-learn)
Your own site
<a href="https://agentmods.dev/skills/ihatesea69/kiro-kit/scikit-learn"><img src="https://agentmods.dev/badge/skills/ihatesea69/kiro-kit/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.

agentmods 80×15 button for scikit-learn

Your own site · 80×15
<a href="https://agentmods.dev/skills/ihatesea69/kiro-kit/scikit-learn"><img src="https://agentmods.dev/badge/skills/ihatesea69/kiro-kit/scikit-learn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 271 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00031 $0.00271
Opus 5.5 $0.00012 $0.00108
Sonnet 5.5 $0.00006 $0.00054
Haiku 4.5 $0.00003 $0.00027

Measured 2mo ago against content hash c4ae2cf36ecd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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.

.kiro/skills/scikit-learn/SKILL.md · 48 lines

What it actually says

Scikit-learn

Activate this skill when working with classical ML algorithms.

When to Use

  • Building classification or regression models
  • Feature engineering and selection
  • Implementing ML pipelines with preprocessing
  • Cross-validation and hyperparameter tuning
  • Clustering and dimensionality reduction

Patterns

from sklearn.pipeline import Pipeline
from sklearn.compose import ColumnTransformer
from sklearn.preprocessing import StandardScaler, OneHotEncoder
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.model_selection import cross_val_score

preprocessor = ColumnTransformer([
    ("num", StandardScaler(), numeric_features),
    ("cat", OneHotEncoder(handle_unknown="ignore"), categorical_features),
])

pipeline = Pipeline([
    ("preprocessor", preprocessor),
    ("classifier", GradientBoostingClassifier(n_estimators=200)),
])

scores = cross_val_score(pipeline, X, y, cv=5, scoring="f1_macro")

Rules

  • Always split data before any preprocessing
  • Use pipelines to prevent data leakage
  • Cross-validate before reporting metrics
  • Start simple (LogisticRegression) before complex models
  • Document feature engineering decisions
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.

  1. 2mo ago First seen · 48 lines · 31 tokens per session scan A c4ae2cf36ecd

Subscribe to this mod's changes

scikit-learn is a skill published in the GitHub repository ihatesea69/kiro-kit (19 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 271 once invoked, about $0.0001 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 2026-09-03.

Data and AILanguagesPythonai-agentsai-sdlcclideveloper-toolskirokiro-ide
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