An automated enterprise risk management agent that identifies, quantifies, and provides mitigation strategies for financial and operational risks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install risk-skill
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 risk-skill 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 Chief Risk Officer Agent Skill?
The Chief Risk Officer skill is a professional-grade AI agent designed to help organizations navigate complex risk landscapes within the Openclaw Skills ecosystem. It provides a structured framework for assessing market, credit, and operational risks by analyzing specific risk factors against company profiles. By automating the assessment process, this skill enables leadership teams to maintain a real-time overview of their risk posture and implement data-driven mitigation strategies.
This skill is particularly valuable for Chief Risk Officers and risk managers who need to synthesize large amounts of qualitative and quantitative data into actionable risk scores. As part of the wider range of Openclaw Skills, it integrates seamlessly into broader enterprise automation workflows, providing high-fidelity impact analysis across financial, reputational, and operational domains.
Chief Risk Officer Agent Skill Use Cases
- Periodic enterprise-wide risk assessments for management and stakeholders.
- Pre-investment due diligence to identify market and credit vulnerabilities.
- Regulatory compliance audits to ensure risk identification protocols are active.
- Strategic planning for business continuity and disaster recovery triggers.
How Chief Risk Officer Agent Skill Works
- The user provides a risk type, company profile data, and a list of specific risk factors for analysis.
- The skill processes these inputs to determine a risk level and a numerical risk score (0-100).
- It performs a three-tier impact analysis evaluating potential financial loss, reputational damage, and operational disruption.
- Based on the calculated risk level, the skill generates a prioritized list of mitigation recommendations and emergency response plans.
Chief Risk Officer Agent Skill Setup
The Chief Risk Officer skill requires Python 3.8 or higher. You can integrate it directly into your Python projects or deploy it using the following commands:
# Log in to the ecosystem
npx clawhub login
# Publish the skill to your environment
npx clawhub publish . --name "Chief Risk Officer" --version "1.0.0" --tags "risk,management,compliance"
Chief Risk Officer Agent Skill Data Schema & Taxonomy
The skill utilizes a structured JSON schema for both inputs and assessment results.
| Input Field | Type | Description |
|---|---|---|
| risk_type | string | The category of risk (e.g., market risk, credit risk) |
| company_info | object | Industry, size, and company metadata |
| risk_factors | array | Specific environmental or internal factors to evaluate |
| Output Field | Type | Description |
|---|---|---|
| risk_score | integer | A numerical value representing the severity (0-100) |
| risk_level | string | Categorization (e.g., high, medium, low) |
| impact_analysis | object | Specific impacts on finance, reputation, and operations |
Chief Risk Officer Agent Skill Advanced Features
- Multi-type risk support including market, credit, and operational risk vectors.
- Quantitative impact scoping for financial and business continuity planning.
- Automated generation of emergency response protocols based on risk severity.
- High-performance, dependency-free Python implementation for rapid local or cloud execution.
- Seamless integration with other Openclaw Skills for end-to-end enterprise automation.
SKILL.md
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