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ml-research-lab

AnastasiyaW/codex-claude-code-configSkill

Machine-learning research loop for dataset curation, fine-tuning, evaluation, inference deployment, experiment tracking, and model explainability. Use when working on ML experiments, training data, model benchmarks, RunPod/GPU runs, classifier quality, vLLM/GGUF serving, SHAP-style model explanations, or research-to-code iterations. Do not use for a simple code edit that has no ML dataset, metric, model, or experiment artifact.

ScannedSkillSource: GitHub
212 stars +47 this week Updated 16d ago License MIT Context ≈112 tokens always loaded
62popular

Why this score

Stars9/35
Usage (forks)3/15
Upkeep25/25
License15/15
Owner history10/10

This repo hosts 10 skills, so its 212 stars are split between them (about 21 each) for scoring.

Popularity score: 62/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 20, 2026 at commit 6c3dd828eaec, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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