Xpersona
agentCLAWHUBUnverified

Agent Governance Assistant

UPDATED 2026: Covers China AI Agent governance regulations (generative AI regulations), MCP protocol governance implications, and enterprise AI audit frameworks. AI-powered enterprise AI agent governance framework — audit agent behavior, enforce security policies, ensure CBIRC/CFCA compliance, detect shadow AI, and generate governance reports. Built for IT risk managers, compliance officers, and enterprise AI leaders in financial institutions. Keywords: AI agent governance, enterprise AI, agent compliance, AI security policy, CBIRC, CFCA, shadow AI detection, agent audit, Microsoft Agent 365, Copilot Studio, China AI regulation, Agent治理, 企业AI, AI合规, 影子AI检测, AI审计, NFRA AI合规, AI治理.

OpenClaw
View on ClawHubHomepage

Rank

62

Safety

84

Downloads

1.1k

Updated

Oct 11, 2026

Version

5.0.1

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Oct 11, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 11, 2026
Adoption signal
1.1K downloadsadoption · observed Oct 11, 2026
Latest release
5.0.1release · observed Sep 18, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17ewqc4f2s6gpcbm88hy7fgvn85kg1g:agent-governance-assistant
  1. Install using `clawhub skill install s17ewqc4f2s6gpcbm88hy7fgvn85kg1g:agent-governance-assistant` in an isolated environment before connecting it to live workloads.
  2. No published capability contract is available yet, so validate auth and request/response behavior manually.
  3. Review the upstream CLAWHUB listing at https://clawhub.ai/gechengling/agent-governance-assistant before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-gechengling-agent-governance-assistant/snapshot"

Documentation

CLAWHUB

56,885 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: "Agent Governance Assistant"
slug: agent-gov
description: "UPDATED 2026: Covers China AI Agent governance regulations (generative AI regulations), MCP protocol governance implications, and enterprise AI audit frameworks. AI-powered enterprise AI agent governance framework — audit agent behavior, enforce security policies, ensure CBIRC/CFCA compliance, detect shadow AI, and generate governance reports. Built for IT risk managers, compliance officers, and enterprise AI leaders in financial institutions. Keywords: AI agent governance, enterprise AI, agent compliance, AI security policy, CBIRC, CFCA, shadow AI detection, agent audit, Microsoft Agent 365, Copilot Studio, China AI regulation, Agent治理, 企业AI, AI合规, 影子AI检测, AI审计, NFRA AI合规, AI治理."
version: "5.0.1"
---

# Agent Governance Assistant


### AI Agent治理最新动态 [2026-09-18更新]

| 动态类型 | 内容摘要 | 发布时间 | 影响范围 | 治理应对 |
|---------|---------|---------|---------|---------|
| 协议发布 | MCP 2.0正式发布：无状态协议革命，6个SEP驱动无状态化 | 2026-06 | Agent架构/部署模式重大变革 | 无状态化后更依赖外部审计日志，需补齐留痕 |
| 协议发布 | MCP Apps：Server端渲染交互界面（SEP-1865），沙盒iframe安全运行 | 2026-06 | Agent UI/用户体验 | UI侧输出也需纳入内容合规审查 |
| 协议发布 | Tasks扩展：长时运行任务支持，非阻塞式taskHandle | 2026-06 | Agent编排/工作流 | 长时任务的中间状态需可追溯、可中断 |
| 安全更新 | OpenAI Secure MCP Tunnel：零入站端口企业级安全部署 | 2026-06 | 企业Agent安全 | 仍需配合出网管控与身份鉴别 |
| 互操作 | Google A2A与MCP互操作性测试通过（6月12日联合宣布） | 2026-06 | 多Agent协作 | 跨Agent调用链的责任划分需事先约定 |
| 安全更新 | MCP 2.0安全沙箱：权限声明/执行沙箱/审计日志/用户确认 | 2026-06 | Agent安全治理 | 对应零信任架构的四项控制点 |
| **监管路径分化** | G20期间美方主张轻触式AI监管，与欧盟AI法案、中国分类分级治理形成三条不同路径（以官方最新发布为准） | 2026-09-02 | 跨境AI合规 | 跨国机构需按区域分别设定Agent上线门槛 |
| **AI基建国家化** | AI基础设施被定位为国家级基础设施，主权算力与本土应用能力成为政策议题（以官方最新发布为准） | 2026-09-02 | 金融行业AI基建 | 金融机构的自建算力须同步满足数据不出境要求 |

> **数据截止**: 2026-09-18 | 来源：MCP官方规范、Anthropic官方博客、OpenAI公告、G20公开报道
> **声明**: 以上动态供参考，具体以官方最新发布为准

## Overview

A comprehensive AI-powered framework for governing enterprise AI agents — from audit trails and policy enforcement to regulatory compliance and risk reporting. As enterprise AI agents (Microsoft Agent 365, Copilot Studio, custom agents) proliferate, governance has become the #1 blocker to adoption. This skill bridges the gap between AI capability and enterprise control.

## Title

**Enterprise AI Agent Governance Framework** — Audit · Secure · Comply

## Triggers

- "agent governance" / "AI agent管理" / "代理治理"
- "enterprise AI compliance" / "企业AI合规"
- "shadow AI detection" / "影子AI排查"
- "AI policy enforcement" / "AI策略执行"
- "agent audit trail" / "代理审计日志"
- "Microsoft Agent 365 governance" / "Agent 365治理"
- "AI risk report" / "AI风险报告"
- "Copilot Studio compliance" / "Copilot合规"
- "China AI regulation" / "中国AI监管"
- "CBIRC AI guidance" / "银保监会AI指引"

---

### 0. 2026 企业AI Agent治理最新趋势

| 时间 | 动态 | 治理含义 | 落地动作 |
|------|------|---------|---------|
| **2025年7月** | 中国《生成式人工智能服务管理暂行办法》正式施行 | AI Agent服务纳入互联网信息服务管理，算法备案要求扩展至Agent | 建立Agent算法备案台账 |
| **2025年11月** | MCP协议移交Linux Foundation | AI Agent工具集成标准化带来新的审计盲点，需纳入治理范围 | 把MCP工

_meta.json

{
  "ownerId": "kn74e704j3ygjcygnpf02rdvd185js13",
  "slug": "agent-governance-assistant",
  "version": "5.0.1",
  "publishedAt": 1789708982275
}

skill-card.md

## Description:

UPDATED 2026: Covers China AI Agent governance regulations, MCP protocol governance implications, and enterprise AI audit frameworks for auditing agent behavior, enforcing security policies, detecting shadow AI, and generating governance reports.

This skill is ready for commercial/non-commercial use.

## Publisher:

[gechengling](https://clawhub.ai/user/gechengling)

### License/Terms of Use:

MIT-0

## Use Case:

IT risk managers, compliance officers, and enterprise AI leaders use this skill to inventory enterprise AI agents, classify risk, define governance controls, detect shadow AI, and draft audit or regulatory reporting materials.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Regulatory guidance may be outdated or incomplete for a specific jurisdiction or institution.

Mitigation: Verify current regulatory claims against official sources and internal legal or compliance review before relying on generated reports.

Risk: Enterprise logs, DLP records, browser-extension inventories, or agent inventories may contain sensitive operational or personal data.

Mitigation: Only provide data that the user is authorized to review, and minimize or redact sensitive fields before using the skill.

Risk: Governance outputs are templates and recommendations rather than proof that controls are operating effectively.

Mitigation: Require supporting evidence such as registry records, access matrices, audit log samples, approval records, and retest results before treating findings as closed.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/gechengling/skills/agent-governance-assistant)

## Skill Output:

**Output Type(s):** [guidance, markdown, configuration, text]

**Output Format:** [Markdown with structured tables, checklists, policies, and report sections]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Produces governance templates and recommendations; regulatory claims should be verified against current official sources before use.]

## Skill Version(s):

5.0.1 (source: server release evidence and frontmatter)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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Machine-readable data

The same record, as JSON, for agents and crawlers.

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Record generated Oct 11, 2026.

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