Agent skill

risk-register-manager

Risk register management skill for systematic risk identification, assessment, and tracking

View SKILL.md on GitHub Repository
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Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/business/decision-intelligence/skills/risk-register-manager

Metadata

Additional technical details for this skill

domain
business
category
risk
priority
medium
specialization
decision-intelligence
tools libraries 
[
    "pandas",
    "numpy",
    "jinja2"
]

SKILL.md

Risk Register Manager

Overview

The Risk Register Manager skill provides comprehensive capabilities for systematic risk identification, assessment, mitigation planning, and ongoing tracking. It supports the full risk management lifecycle from initial identification through monitoring and closure.

Capabilities

  • Risk identification and categorization
  • Probability and impact scoring
  • Risk matrix generation
  • Risk prioritization (P*I ranking)
  • Mitigation strategy tracking
  • Residual risk calculation
  • Risk trend analysis
  • Risk report generation

Used By Processes

  • Decision Quality Assessment
  • Monte Carlo Simulation for Decision Support
  • Strategic Scenario Development

Usage

Risk Identification

python
# Define a risk
risk_entry = {
    "id": "RISK-001",
    "title": "Key Supplier Bankruptcy",
    "description": "Primary component supplier faces financial difficulties, risking supply continuity",
    "category": "Supply Chain",
    "subcategory": "Supplier Risk",
    "identified_by": "Procurement Manager",
    "identification_date": "2024-01-15",
    "status": "Open",
    "triggers": [
        "Supplier credit rating downgrade",
        "Delayed deliveries > 2 weeks",
        "News of financial restructuring"
    ],
    "affected_objectives": ["Production Continuity", "Cost Control"]
}

Risk Assessment

python
# Assess risk
risk_assessment = {
    "risk_id": "RISK-001",
    "probability": {
        "score": 3,  # 1-5 scale
        "rationale": "Supplier shows signs of financial stress; industry downturn",
        "confidence": "medium"
    },
    "impact": {
        "financial": {"score": 4, "estimate": 2500000},
        "schedule": {"score": 3, "estimate_days": 45},
        "reputation": {"score": 2},
        "overall": 4
    },
    "risk_score": 12,  # P x I
    "risk_level": "High",
    "velocity": "Medium",  # How quickly it could materialize
    "assessment_date": "2024-01-20"
}

Mitigation Planning

python
# Define mitigation strategies
mitigation_plan = {
    "risk_id": "RISK-001",
    "response_strategy": "Mitigate",  # Accept, Mitigate, Transfer, Avoid
    "actions": [
        {
            "id": "MIT-001-A",
            "description": "Qualify secondary supplier",
            "owner": "Procurement Director",
            "due_date": "2024-03-01",
            "status": "In Progress",
            "cost": 50000,
            "effectiveness": 0.6  # Expected risk reduction
        },
        {
            "id": "MIT-001-B",
            "description": "Increase safety stock to 8 weeks",
            "owner": "Supply Chain Manager",
            "due_date": "2024-02-15",
            "status": "Not Started",
            "cost": 200000,
            "effectiveness": 0.3
        }
    ],
    "residual_probability": 2,
    "residual_impact": 3,
    "residual_score": 6
}

Risk Matrix Configuration

python
# Configure risk matrix
matrix_config = {
    "probability_scale": {
        1: {"label": "Rare", "range": "< 10%"},
        2: {"label": "Unlikely", "range": "10-25%"},
        3: {"label": "Possible", "range": "25-50%"},
        4: {"label": "Likely", "range": "50-75%"},
        5: {"label": "Almost Certain", "range": "> 75%"}
    },
    "impact_scale": {
        1: {"label": "Negligible", "financial": "< $10K"},
        2: {"label": "Minor", "financial": "$10K - $100K"},
        3: {"label": "Moderate", "financial": "$100K - $1M"},
        4: {"label": "Major", "financial": "$1M - $10M"},
        5: {"label": "Severe", "financial": "> $10M"}
    },
    "risk_levels": {
        "Low": {"range": [1, 4], "color": "green"},
        "Medium": {"range": [5, 9], "color": "yellow"},
        "High": {"range": [10, 16], "color": "orange"},
        "Critical": {"range": [17, 25], "color": "red"}
    }
}

Input Schema

json
{
  "operation": "create|update|assess|report",
  "risk": {
    "id": "string",
    "title": "string",
    "description": "string",
    "category": "string"
  },
  "assessment": {
    "probability": "object",
    "impact": "object"
  },
  "mitigation": {
    "strategy": "string",
    "actions": ["object"]
  },
  "report_options": {
    "format": "matrix|list|dashboard",
    "filters": "object"
  }
}

Output Schema

json
{
  "risk_register": [
    {
      "id": "string",
      "title": "string",
      "category": "string",
      "inherent_score": "number",
      "residual_score": "number",
      "status": "string",
      "owner": "string",
      "next_review": "string"
    }
  ],
  "summary_statistics": {
    "total_risks": "number",
    "by_level": "object",
    "by_category": "object",
    "trend": "object"
  },
  "risk_matrix": "object",
  "top_risks": ["object"],
  "overdue_mitigations": ["object"],
  "report_path": "string"
}

Best Practices

  1. Review and update risk register regularly (monthly minimum)
  2. Assign clear ownership for each risk
  3. Document rationale for probability and impact scores
  4. Track both inherent and residual risk
  5. Include positive risks (opportunities)
  6. Escalate critical risks promptly
  7. Learn from risks that materialized

Risk Response Strategies

Strategy When to Use Example
Avoid High P, High I, feasible to eliminate Cancel risky project phase
Mitigate Reduce P or I is cost-effective Add quality controls
Transfer Impact can be shifted Insurance, contracts
Accept Low priority or unavoidable Budget contingency

Integration Points

  • Feeds into Monte Carlo Engine for quantitative analysis
  • Connects with Value at Risk Calculator for financial risk
  • Supports Risk Analyst agent
  • Integrates with Decision Visualization for risk matrices

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