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ml-system-design-review

ML-SystemDesign/MLSystemDesignSkill

Use when reviewing ML system design docs, ML/AI project repos, design-doc PRs, RAG/LLM/foundation-model architectures, agentic AI workflows, or production ML readiness. Applies the ML System Design framework by Kravchenko and Babushkin to grade designs, compare docs with code, find critical gaps and low-hanging fruit, and give specific non-cringy praise.

ScannedSkillSource: GitHub
886 stars +3 this week Updated 2mo ago License MIT Context ≈95 tokens always loaded
68popular

Why this score

Stars17/35
Usage (forks)6/15
Upkeep20/25
License15/15
Owner history10/10

This repo hosts 3 skills, so its 886 stars are split between them (about 295 each) for scoring.

Popularity score: 68/100 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 21, 2026 at commit 8dd0d88852fe, 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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