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fastedd27/README.md

Charles Weeks

I build AI systems that remember: durable memory, retrieval that still holds up months later, and architectures that run local-first, on hardware I own.

Twenty-five years before that in high-end residential systems integration — networks, control systems, running the field and training the techs. That is the reason this work ships instead of staying a demo.

What is in here

spire-skills — two plugins for Claude. spire-pipeline (v0.3.0) runs a build in three stages: a design swarm that argues out competing approaches, a run-list that holds the plan across sessions, and a conductor that executes it and verifies each row before ticking it. Built for builds too big to finish in one sitting. model-vetting (v0.1.0) reads a public HuggingFace model repo before you pull it: model-scorecard for quick triage off the public API, model-eval for a deeper static pass. Both are read-only, neither one is a clearance. I run the same shipped versions myself.

sovereign-knowledge-federation — source and issues for the Sovereign Knowledge Federation working paper: capture, structure, decay, and recall treated as one system, and a boundary model for sharing a second brain without handing it to a platform. Published June 20, 2026, CC BY 4.0. DOI: 10.5281/zenodo.20778935

Elsewhere

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    The acceptance gate for the production-to-support handoff.

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    Is this HuggingFace model safe to run? A scorecard gut-check + deep code-eval, shipped as portable agent skills.

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