A PR I would have opened myself

Built a Skill and test harness that automatically assists porting to mlx-lm based on model implementations in transformers.

The key point is that it was designed not as simple automation, but as an assistive tool that both contributors and reviewers can use. The Skill reduces pitfalls in the porting process by handling model variant exploration, checkpoint downloads, config diff comparison, RoPE checks, dtype inference, and layer-by-layer comparison.

From a reviewer's perspective, it explicitly marks the PR as agent-assisted, but organizes code style and change scope to fit mlx-lm conventions, and provides more signal by including generation examples, numerical comparisons, dtype verification, and layer comparisons. A separate non-agentic harness makes results reproducible and prevents the problem of an LLM prematurely declaring success.

This post emphasizes that in open source, the bottleneck is not typing but understanding the implicit contracts of a codebase. It also mentions plans to expand into areas like mlx-vlm, llama.cpp, quantization uploads, and thinking model verification going forward.