scikit-learn
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
The two scanners disagree: Cisco found nothing and SkillSpector says do not install. One of them has a blind spot here; read the skill before trusting either. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
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.
- Package
- 11 files, 136 KB
- SKILL.md
- 1402 words, 12+ sections
- Code
- Python (2)
- Allowed tools
ReadWriteEditBash- License
- BSD-3-Clause license
- Compatibility
- Requires Python 3.11+ and scikit-learn 1.9.1. NumPy, SciPy, and joblib are dependencies; bundled scripts also require pandas and matplotlib. Installation needs network access; bundled examples use local datasets without credentials.
SKILL.md covers: Scikit-learn · Overview · Installation · Install scikit-learn using uv · Optional: plotting utilities and bundled script dependencies · Commonly used with · When to Use This Skill · Quick Start · Classification Example · Split data · Preprocess · Train model
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 13 KB |
references/common_workflows.md | doc | 3.6 KB |
references/core_capabilities.md | doc | 5.0 KB |
references/model_evaluation.md | doc | 19 KB |
references/pipelines_and_composition.md | doc | 16 KB |
references/preprocessing.md | doc | 18 KB |
references/quick_reference.md | doc | 12 KB |
references/supervised_learning.md | doc | 12 KB |
references/unsupervised_learning.md | doc | 16 KB |
scripts/classification_pipeline.py | script | 10 KB |
scripts/clustering_analysis.py | script | 11 KB |
External hosts referenced
scikit-learn.org arxiv.org doi.org export.arxiv.org imbalanced-learn.org umap-learn.readthedocs.io
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Package contents recorded 2026-10-22 at commit 593377bb0487. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills
- Raw scan result: skills-scikit-learn-scan.json
- Badge for your README:
- Request a re-scan