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oleg-bk/README.md

Hi, I'm Oleg

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AI and data infrastructure architect focused on risk, control, and verifiable decision systems.

I build action-control infrastructure for autonomous agents: local capability scanning before deployment, runtime gates for risky actions, signed receipts after execution, and reputation-aware trust signals.

Python TypeScript MCP Agentic AI Verifiable Proof

Current work

  • AgentVeil SDK - action control for autonomous agents: check posture, gate risky actions, prove execution.
  • Lurkr - local-only pre-deploy scanner for risky AI-agent capability surfaces.
  • Paperclip AVP Plugin - trust and reputation layer for Paperclip agents via AgentVeil Protocol.
  • Microsoft AGT PR #1010 - AVPProvider for EigenTrust-based agent reputation scoring, merged into Microsoft's Agent Governance Toolkit.
  • Research - why AI-agent reputation needs both link analysis and flow-based gating.

Focus

action control · signed receipts · agent reputation · capability scanning · MCP workflows · verifiable evidence

Pinned Loading

  1. agentveil-protocol/agentveil-sdk agentveil-protocol/agentveil-sdk Public

    Action Control for autonomous agents. Check posture. Gate risky actions. Prove execution. Fits your existing agent stack.

    Python 9 3

  2. agentveil-protocol/lurkr agentveil-protocol/lurkr Public

    Pre-deploy static scanner for risky AI agent capabilities. Local-only. No telemetry. No network calls during scan. Redacted output. MIT.

    Python 1

  3. agentveil-protocol/paperclip-plugin-avp agentveil-protocol/paperclip-plugin-avp Public

    Trust and delegation controls for Paperclip agent teams, powered by AgentVeil Protocol.

    TypeScript 7 2