An AI-powered framework on Openclaw Skills to discover, audit, secure, and ensure regulatory compliance for enterprise AI agents and automated workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-gov
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install agent-gov using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Agent Governance Assistant?
The Agent Governance Assistant is a comprehensive, AI-powered framework designed to govern enterprise AI agents, ensuring they align with security policies, organizational rules, and rigid compliance standards. As corporate environments scale their deployment of tools like Microsoft Agent 365, Copilot Studio, and custom LLM applications, governance has emerged as a primary bottleneck to enterprise-wide adoption. This skill systematically bridges the gap between AI autonomy and IT governance by providing deep visibility, policy enforcement, shadow AI detection, and regulatory audit readiness.
By leveraging Openclaw Skills for your agent fleet, you install a zero-trust agent architecture where every autonomous assistant is authenticated, restricted to minimum privileges, and continuously audited. Whether navigating regional regulatory mandates like China's generative AI service regulations, CBIRC/NFRA financial compliance guidelines, or CFCA standards, this framework empowers IT risk managers, security teams, and compliance officers to accelerate safe AI adoption without introducing operational blind spots.
Agent Governance Assistant Use Cases
- Enterprise AI Discovery: Automatically scanning network traffic, API endpoints, and platform environments to index active AI agents and mapping their department ownership.
- Regulatory Auditing & Compliance: Producing structured compliance disclosure reports for regulatory bodies such as CBIRC, NFRA, and CFCA.
- Shadow AI Risk Mitigation: Detecting unauthorized AI tools, unapproved API calls, or risky browser extensions used by employees processing corporate data.
- Microsoft Agent 365 Integration: Organizing access control levels, permission matrices, and activity logs across diverse business units (Finance, Claims, Sales, etc.).
- Zero-Trust Agent Authorization: Enforcing strict minimum-privilege policies and human-in-the-loop triggers for high-risk, high-autonomy agents.
How Agent Governance Assistant Works
- Agent Inventory Discovery: The skill initiates scanning for active AI workflows across known systems (Microsoft 365, Salesforce Einstein, LangChain, RPA) to compile a structured, live registry.
- Risk Classification: It classifies registered agents into tiered categories (Critical, High, Medium, Low) based on data access levels, external network exposure, and operational autonomy.
- Policy Framework Evaluation: Agents are evaluated against pre-defined policies (such as data minimization, model transparency, human-override triggers, or regional PIPL regulations).
- Shadow AI Scanning: The framework analyzes indicators of unsanctioned AI activity, comparing network traffic, API logs, and browser extension data against corporate whitelist directories.
- Audit Trail & Reporting: It generates comprehensive governance audit reports, executive scorecards, and regulatory-ready disclosure templates.
Agent Governance Assistant Setup
To get started with the Agent Governance Assistant, follow these setup steps:
- Install the skill within your agent runner or CLI tool:
openclaw install geclinging/agent-governance-assistant
- Configure your environment variables to link to your enterprise network log analyzer, DLP platforms, or cloud directory endpoints:
export AGENT_GOV_NETWORK_LOGS="/path/to/logs"
export AGENT_GOV_REGULATOR_TEMPLATE="CBIRC-2026"
- Initialize the first discovery scan:
openclaw run agent-governance-assistant --action scan-inventory --target-env prod
Agent Governance Assistant Data Schema & Taxonomy
The Agent Governance Assistant organizes governance tracking and compliance evaluation using a structured metadata taxonomy. Generated files, reports, and registries adhere to clear JSON and Markdown schemas:
Agent Inventory Schema
| Field | Type | Description |
|---|---|---|
agent_id |
String | Unique identifier for the tracked agent |
platform |
String | Hosting environment (e.g., Copilot Studio, LangChain) |
owner |
String | Designated department or employee owner |
risk_tier |
String | Risk categorization (Critical, High, Medium, Low) |
data_access |
String | Permissions and data sensitivity levels |
compliance_status |
Boolean | Pass/Fail status based on current active policies |
Compliance Log Directory Structure
/governance
├── inventory.json # Compiled registry of all active AI agents
├── policy_framework.json # Active organizational policies and regulations
├── shadow_ai_findings/ # Daily security scan reports of rogue AI tools
└── reports/ # CBIRC/CFCA-compliant markdown disclosure documents
Agent Governance Assistant Advanced Features
- Zero-Trust Agent Authorization: Integrates deep token-based authentication and minimum privilege scopes for every autonomous worker.
- Model Context Protocol (MCP) Audit Hooks: Intercepts MCP tool calling configurations to prevent unapproved external API integrations using specialized protocols designed for Openclaw Skills.
- Behavioral UEBA Analysis: Upgrades traditional static DLP pattern matching with User and Entity Behavior Analysis (UEBA) to identify context-based data leaks.
- Dynamic Compliance Scoring: Computes a real-time compliance score (0-100) that shifts automatically whenever policies update or new agents deploy.
- Automated Human-in-the-Loop Triggers: Dynamically flags high-stakes AI actions (e.g., processing transactions > ¥100K) requiring manual supervisor approval before execution.
SKILL.md
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