Skill All skills & plugins / Scientific Agent Skills (K-Dense)
scikit-learn
Supports machine learning in Python with scikit-learn. Applies when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
- Type
- Skill by K-Dense Inc.
- Catalog
- Scientific Agent Skills (K-Dense)
- Source
- K-Dense-AI/scientific-agent-skills/skills/scikit-learn (11 files scanned)
- Install and details
- Agent Skills Index entry
- License
- BSD-3-Clause license (SKILL.md frontmatter)
- Signals
- Pre-approved shellBundled scripts
Pre-approved tools
Shell (any command). Tools listed in allowed-tools (or an agent's tools) can be used without a permission prompt while the skill is active, depending on your agent and settings.
| Kind | Tools |
|---|---|
| read/search | Read |
| write/edit files | WriteEdit |
| shell, any command | Bash |
Declared in scikit-learn/SKILL.md.
Hooks
No hooks.
MCP servers and apps
None.
Bundled code
2 code files (Python):
Network calls
No HTTP or socket call pattern found in the code.
Starts other programs
No subprocess, exec or eval pattern found.
Credentials referenced
No key, token or secret environment variable found in code or MCP config.
Static scan of commit 5f2bc03 on 2026-10-27. Signals are patterns found in the files, not a verdict: a network call can be the whole point of a skill. Read the linked lines before you decide. How the scan works.