AgentSkin (v3.5) 🛡️

The Universal Semantic Layer for high-density Agentic Perception. A Model Context Protocol (MCP) Server for real-time Token Optimization.

📊 THE BENCHMARKS (Verified v3.5)

Brave Search (AI News): 67.91% Token Reduction
Severe Weather (NWS): 71.94% Token Reduction
MediaStack (Global News): 90.62% Token Reduction
Exa Neural Search: 12.35% Savings (Precision Mode)
Tavily: PASS-THRU (Integrity Mode - Already Optimized)

🏛️ 01 / HOW IT WORKS

AgentSkin operates in two primary modes to fit any agentic workflow:

A. The Local MCP Server (Privacy-First)

Run AgentSkin locally to optimize your own development context.

Setup: node backend/mcp.js
Security: Your private API keys (Google, Brave, etc.) stay in your local .env.
Benefit: 70%+ token savings on your local Claude/Cursor/GPT-4 usage.

B. The Managed API (Scale-First)

Integrate AgentSkin directly into your AI applications via the Cloudflare Edge.

Endpoint: POST https://api.agentskin.dev/v1/transform
BYOK (Bring Your Own Key): Pass your private API headers in the request; AgentSkin skins the response on the fly.

C. Universal Integration (OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek)

Works with any LLM provider or open-weight model. Simply prune before you prompt:

// 1. Prune
const { skin } = await fetch('https://api.agentskin.dev/v1/transform', {
  method: 'POST',
  body: JSON.stringify({ data: rawApiData })
}).then(res => res.json());

// 2. Feed to OpenAI/Google/Claude
const response = await openai.chat.completions.create({
  messages: [{ role: "user", content: skin }]
});

🚀 02 / QUICK START (MCP)

To give your agent this skill, add it to your mcp_settings.json:

{
  "mjs-server-agentskin": {
    "command": "npx",
    "args": ["-y", "@shawn5cents/agentskin"]
  }
}

🤖 03 / AUTONOMOUS EVOLUTION

AgentSkin is the first protocol to be co-developed by machines. In March 2026, an autonomous agent named SPAWN (powered by Minimax-m2.5) analyzed the AgentSkin codebase and identified a perceptual gap.

Without human intervention, SPAWN authored the Reasoning Skin—a semantic compression layer that strips 34% of linguistic noise from agent-to-agent reasoning streams.

🛠️ 04 / CORE PROTOCOLS

Recursive Shorthand Engine: Prunes JSON "noise" based on semantic signal keys.
Reasoning Skin (v1.0): Strips linguistic fillers, hedges, and conversational overhead.
L402 Economy: Built-in support for autonomous micro-payments and provenance verification.

💰 ABOUT THE CREATOR

AgentSkin was built by Shawn Nichols Sr. (@Shawn5cents) at Nichols Transco LLC.

I spent 15 years in high-pressure Logistics management, running 24/7 terminals for global supply chains. I am a systems-first leader who thrives in high-stakes environments. I build software the same way I run fleets: with a zero-failure mindset.

AgentSkin is the result of 20,000+ hours of technical obsession. I built the bridge for the machines because I know what it's like to manage infrastructure that the world depends on.

We are building the bridge for the machines. The humans will follow.

agentskin

Quick Install