Clean the context before it hits the model. AgentSkin keeps task-relevant facts and strips low-value API, JSON, and terminal noise.
APIs, CLIs, and browser tools are designed to be complete, not context-efficient. AgentSkin sits in the middle and keeps the facts the task actually needs.
Preserve the signal. Cut the payload.
npx -y agentskin@latest
compress.Give it existing context. AgentSkin detects JSON, command output, or plain text and chooses the appropriate safe reduction path. Use the specialized tools only when you want direct control.
Explicit signals and URL-specific rules are authoritative. AgentSkin does not keep unrelated nested fields merely because they happen to be named id, name, or url.
If the smaller result loses required information, it is not a successful reduction.
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.