Clean the context before it hits the model. AgentSkin keeps task-relevant facts and strips low-value API, JSON, and terminal noise.
No. Reduction depends on payload shape, selected signals, and command type. Release tests report measured examples, but fidelity is the release criterion.
AgentSkin consumes Tokenjuice as a normal npm dependency for CLI reduction. It is credited under its MIT license.
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.