Clean the context before it hits the model. AgentSkin keeps task-relevant facts and strips low-value API, JSON, and terminal noise.
When a caller or URL rule supplies fields to preserve, AgentSkin does not merge generic fallback keys such as id, name, or url. This prevents unrelated nested objects from leaking into compact context.
Generic signal keys are used only when no explicit rule exists. Small or already-compact inputs may pass through unchanged.
Other public products and experiments from Nichols AI. AgentSkin is the context layer; these are the places it lives beside.
Applied AI systems, agent infrastructure, production software, and business automation.
Turn YouTube videos, webpages, and documents into clean notes without the copy-paste mess.
A public build experiment from the Nichols AI lab, available directly on GitHub.