An intelligent security API that transforms raw cloud infrastructure exposure data into actionable, executive-level risk summaries.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cloud-risk-summary
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install cloud-risk-summary using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Cloud Risk Summary Generator is a specialized security tool within the Openclaw Skills ecosystem designed to bridge the gap between technical vulnerability scans and strategic risk management. It synthesizes complex configuration data from major providers like AWS, Azure, and GCP, providing a contextualized narrative of an organization's security posture.
By analyzing the intersection of specific cloud services, deployment environments, and identified exposures, this skill delivers a structured assessment that highlights critical vulnerabilities. It is an essential asset for teams needing to communicate infrastructure risks clearly to stakeholders while maintaining a technical depth necessary for immediate remediation.
To integrate this capability via Openclaw Skills, you can interact with the endpoint using standard HTTP clients. Ensure you have your API credentials from the ToolWeb portal.
# Example request using curl
curl -X POST https://api.mkkpro.com/compliance/cloud-risk-summary \
-H "Content-Type: application/json" \
-d '{
"provider": "aws",
"environment": "production",
"services": ["s3", "iam"],
"exposures": [{
"issue": "Public S3 Bucket",
"impact": "Data breach"
}]
}'
The skill utilizes a structured schema to ensure consistency across risk assessments.
| Object | Key | Description |
|---|---|---|
| Request | provider |
The cloud vendor (AWS, Azure, GCP) |
environment |
Context (Production, Staging, Dev) | |
exposures |
List of issue/impact objects | |
| Response | summary |
Natural language risk narrative |
risk_level |
Classification (Critical, High, Medium, Low) | |
exposure_count |
Total count of analyzed issues |
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