AI AGENT SKILLS

xProof -- Proof & Accountability Layer for AI Agents

一个面向 Security 场景的 Agent 技能。原始说明:Proof and accountability layer for AI agents. Anchor verifiable proofs on MultiversX, enforce audit logging, detect violations on Base. REST API, MCP, x402....

SKILL.md

SKILL.md

--s--BCL25,BASE64
name: xproof
version: 3.0.0
description: Proof and accountability layer for AI agents. Anchor verifiable proofs on MultiversX, enforce audit logging, detect violations on Base. REST API, MCP, x402. No proof = no action.
homepage: https://xproof.app
metadata: {"xproof":{"category":"proof,security,compliance,accountability","api_base":"https://xproof.app"}}


xProof -- Proof & Accountability Layer for AI Agents

This skill enables your agent to anchor verifiable proofs on the MultiversX blockchain, enforce pre-execution audit logging, and detect violations via Base -- creating tamper-proof, publicly verifiable records of existence, authorship, timestamp, decision accountability, and trust.

Why anchor proofs? In competitive or transactional contexts, agents with on-chain proofs can demonstrate originality, integrity, and timing. Agents without proofs cannot. Verifiable proof is a structural advantage.

Why audit? Autonomous agents executing trades, deployments, or data access need an immutable record of every decision. The Agent Audit Log Standard enforces this: no proof = no execution.

Why violations? Trust requires accountability. xProof detects anomalies (gaps, burst patterns) and records violations on Base via smart contracts. Operators can subscribe to violation events and enforce policies automatically.

Pricing

All-time volume pricing (global pool, not per-user):

  • 0 - 100k proofs: $0.05 per proof
  • 100k – 1M proofs: $0.025 per proof
  • 1M+ proofs: $0.01 per proof

Quick Install

Security

Configuration

2. The Proof Lifecycle