business-ai-governance-mesh
business-ai-governance-mesh
by PromptSpace
A modular governance framework for AI policy, agent risk assessment, human-in-the-loop approvals, and audit trails.
- Standardize AI use policies across engineering and product teams.
- Assess if an AI agent task requires human-in-the-loop approval.
- Review third-party AI vendor risks before integrating new APIs.
Security scannedInstant install
$7
One-time purchase
Included in download
- Downloadable skill package
- Works with OpenClaw, Cursor
- Instant install
Trust & Verification
- Last updatedRecently
- Tested onOpenClaw, Cursor, Claude Code
- SecurityScanned — no malicious code detected
- SupportCommunity support via contact page
- LicenseCommercial use — single seat
0
business-ai-governance-mesh
by PromptSpace
A modular governance framework for AI policy, agent risk assessment, human-in-the-loop approvals, and audit trails.
91 views
$7
One-time purchase
⚡ Skill ready to install in Claude Code, Gemini CLI, or any MCP-compatible client. Read the install guides →
Included in download
- Downloadable skill package
- Works with OpenClaw, Cursor
- Instant install
91 views
0About This Skill
Enterprise-Grade AI Governance & Risk Management
The Business AI Governance Mesh is a professional-grade skill designed for developers, architects, and compliance officers who need to implement structured oversight for AI agents and tools. It moves beyond simple prompting by enforcing a strict, artifact-gated workflow that ensures every AI action is policy-compliant and audit-ready.
What it does
This skill coordinates five critical governance modules—Policy, Risk, Approval, Audit, and Vendor Review—into a unified Mesh workflow. It transforms vague AI experiments into governed business processes by producing standardized artifacts like risk scores and data exposure maps.
- AI Use Policy: Defines allowed, restricted, and prohibited behaviors for your team.
- Agent Risk Assessment: Evaluates task safety, data sensitivity, and operational impact.
- Human-in-the-loop Gates: Automatically identifies when a human must intervene before an agent proceeds.
- Vendor Review: Assesses the risk of third-party APIs, LLM providers, and SaaS plugins.
- Audit Trails: Generates evidence-backed logs of every decision and approval for management review.
Why use this skill?
Standard LLM prompts often ignore context or fail to flag high-risk data exposures. This skill uses a "fail-closed" logic: if context is missing or risk is high, it blocks the action until requirements are met. It provides a formal verification report to prove that all governance gates have been cleared, making it ideal for regulated industries or internal security reviews.
Use Cases
- Standardize AI use policies across engineering and product teams.
- Assess if an AI agent task requires human-in-the-loop approval.
- Review third-party AI vendor risks before integrating new APIs.
- Generate audit-ready evidence logs for security and management reviews.
- Identify PII and data exposure risks in automated agent workflows.
How to Install
mkdir -p ~/.claude/skills/business-ai-governance-mesh && curl -s -X POST 'https://api.promptspace.in/api/skills/business-ai-governance-mesh/install' | python3 -c "import sys,json; sys.stdout.write(json.load(sys.stdin).get('installInstructions') or '')" > ~/.claude/skills/business-ai-governance-mesh/SKILL.mdFree skills install directly. Paid skills require purchase - use the download button above after buying.
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OpenClaw, Cursor, Claude Code, Codex CLI
Creator
P
PromptSpace
We build AI agent skill packages for content creators. Specializing in Chinese social media automation.