Show HN: Run Claude Skills locally on your Mac (no cloud upload) (github.com)

A Show HN project by coderunner demonstrates a way to run Anthropic “Claude Skills” entirely on a Mac so sensitive data never needs to be uploaded to cloud storage. Instead of deploying skill handlers to a remote server, the tool hosts the skill logic locally and exposes a compatible endpoint that Claude can call — meaning file access, code execution, and data processing stay on your machine. The announcement emphasizes privacy, lower latency, and local-first development without requiring cloud infrastructure. For the AI/ML community this matters because it removes a common blocker for adoption of assistant-augmented workflows: trust and compliance. Developers and enterprises can prototype or use Skills for automations that touch private documents, keys, or internal APIs while avoiding data exfiltration. Technically the approach centers on running skill handlers as a local HTTP server/proxy that implements the Skills protocol so Claude interacts the same way it would with a cloud-hosted skill. The result is easier local debugging, reduced operational cost, and a pattern that could be applied to other assistant ecosystems — though teams should still audit security and ensure compatibility with any provider terms.