ml-model-training SKILL.md skillA
ml-model-training from secondsky/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add secondsky/claude-skills/ml-model-training@git:20260402.89c5e89Pins git:20260402.89c5e89 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- secondsky/claude-skills
- Path
plugins/ml-model-training/skills/ml-model-training/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260402.89c5e89, committed Apr 2, 2026
- First version recorded
- Dec 24, 2025
- Size
- 6,938 bytes
- Repository stars
- 247
- License
- MIT
Train ML models with scikit-learn, PyTorch, TensorFlow. Use for classification/regression, neural networks, hyperparameter tuning, or encountering overfitting, underfitting, convergence issues.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# ML Model Training
Train machine learning models with proper data handling and evaluation.
## Training Workflow
1. Data Preparation → 2. Feature Engineering → 3. Model Selection → 4. Training → 5. Evaluation
## Data Preparation
```python
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler, LabelEncoder
# Load and clean data
df = pd.read_csv('data.csv')
df = df.dropna()
# Encode categorical variables
le = LabelEncoder()
df['category'] = le.fit_transform(df['category'])
# Split data (70/15/15)
X = df.drop('target', axis=1)
y = df['target']
X_train, X_temp, y_train, y_temp = train_test_split(X, y, test_size=0.3)
X_val, X_test, y_val, y_test = train_test_split(X_temp, y_temp, test_size=0.5)
# Scale features
scaler = StandardScaler()
X_train = scaler.fit_transform(X_train)
X_val = scaler.transform(X_val)
X_test = scaler.transform(X_test)
```
## Scikit-learn Training
```python
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import classification_report, accuracy_score
model = RandomForestClassifier(n_estimators=100, random_state=42)
model.fit(X_train, y_train)
…Read the whole file at its exact version.
How to install
mdr add secondsky/claude-skills/ml-model-training@sha256:4641463a8341bd5eThe line at the top of this page pins the label git:20260402.89c5e89, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_jcps2pn6urfl3ctr)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Dec 24, 2025 and Apr 2, 2026, about one every 100 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260402.89c5e89 latest | 2026-04-02 | 89c5e89 | 6,938 B | A | view · diff |
| git:20251224.ba827ce | 2025-12-24 | ba827ce | 6,924 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6938 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
secondsky/claude-skills · 247 stars · license MIT · pushed 2026-10-31 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_jcps2pn6urfl3ctr GET https://markdownregistry.com/api/v1/resolve?ref=secondsky/claude-skills/ml-model-training GET https://markdownregistry.com/api/v1/blob/4641463a8341bd5ee8aa06b1ee9d4d6153e52eee175b8cfcdc001a94ce054a0b
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.