agent-self-assessment

---
name: Agent Compliance & Security Assessment
version: 2.3.3
description: >
  Comprehensive compliance and security self-assessment for AI agents.
  14-check framework producing a structured threat model + compliance report
  with RED/AMBER/GREEN ratings across security, governance, EU AI Act
  readiness, oversight quality, and NIST alignment domains. Includes
  automation bias detection, audit trail reasoning checks, extraterritorial
  scope assessment, and Zero Trust posture evaluation.
  Designed for the August 2026 EU AI Act deadline.
author:
  name: Justin Roosch
  url: https://github.com/roosch269
license: MIT-0
tags:
  - security
  - compliance
  - eu-ai-act
  - nist
  - self-assessment
  - threat-model
  - agent-safety
  - audit
  - governance
  - transparency
  - risk-classification
  - zero-trust
keywords:
  - agent security posture
  - EU AI Act compliance
  - NIST AI agent standards
  - Article 50 transparency
  - Article 14 human oversight
  - agent threat model
  - security checklist
  - agent hardening
  - AI governance
  - Zero Trust AI
  - agent accountability
metadata:
  openclaw:
    emoji: "🛡️"
    minVersion: "1.0.0"
---

# Agent Compliance & Security Assessment v2.3

**Free. Open. Run it yourself.**

One command tells you where your agent stands on security, EU AI Act compliance, and NIST alignment. 14 checks, 5 domains, RAG-rated report.

> **How to activate:** Tell your agent: *"Run the agent compliance assessment"*

**14 checks across 5 domains:**
- 🔒 **Security** (Checks 1–6): Decision boundaries, audit trail, secret scoping, plane separation, economic accountability, memory safety
- 🏛️ **EU AI Act** (Checks 7–9): Transparency (Art. 50), risk classification (Art. 6), human oversight (Art. 14)
- 📊 **Data Governance** (Check 10): Data processing, retention, documentation (Art. 10, 12)
- 🛡️ **Oversight Quality** (Checks 11–13): Automation bias resistance, audit trail reasoning, extraterritorial scope
- 🔐 **Trust Architecture** (Check