ds-roast
CommunityRuthless, precise ML project critique.
Authordobraga
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It performs a ruthless, structured evaluation of data science and ML projects to surface bugs, data leakage, bad practices, and improvement opportunities.
Core Features & Use Cases
- Exhaustive codebase reconnaissance of notebooks, pipelines, and production ML artifacts, with a concrete set of issues to address.
- Systematic checks for data quality, leakage (temporal, target, group), modeling pitfalls, and MLOps gaps, plus concrete remediation steps.
- Use Case: run this roast on a complete project to generate a prioritized action list that reduces risk before production deployment.
Quick Start
Provide the ML project source (notebooks, scripts, configs) to initiate a roast and receive a detailed technical critique.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ds-roast Download link: https://github.com/dobraga/dotfiles/archive/main.zip#ds-roast Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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