Назад към всички

supply-chain-risk-assessor

// Comprehensive supply chain risk identification and assessment skill with heat mapping

$ git log --oneline --stat
stars:384
forks:73
updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
namesupply-chain-risk-assessor
descriptionComprehensive supply chain risk identification and assessment skill with heat mapping
allowed-toolsRead,Write,Glob,Grep,Bash
metadata[object Object]

Supply Chain Risk Assessor

Overview

The Supply Chain Risk Assessor provides comprehensive risk identification, assessment, and visualization capabilities for supply chain risk management. It supports structured risk categorization, probability-impact analysis, heat mapping, and control effectiveness evaluation.

Capabilities

  • Risk Category Taxonomy: Financial, operational, geopolitical, compliance categorization
  • Probability and Impact Assessment: Likelihood and consequence scoring
  • Risk Score Calculation and Ranking: Prioritized risk listing
  • Heat Map Visualization: Visual risk representation
  • Root Cause Analysis Integration: Risk driver identification
  • Risk Appetite Alignment: Threshold and tolerance management
  • Control Effectiveness Evaluation: Mitigation effectiveness assessment
  • Risk Register Maintenance: Centralized risk documentation

Input Schema

risk_assessment_request:
  scope:
    categories: array             # supplier, logistics, demand, etc.
    geography: array
    time_horizon: string
  risk_inputs:
    identified_risks: array
      - risk_name: string
        category: string
        description: string
        probability: float        # 1-5 scale
        impact: float             # 1-5 scale
        velocity: string          # slow, medium, fast
    historical_incidents: array
    external_factors: array
  controls:
    existing_controls: array
    control_effectiveness: object
  risk_appetite: object

Output Schema

risk_assessment_output:
  risk_register:
    risks: array
      - risk_id: string
        name: string
        category: string
        description: string
        probability: float
        impact: float
        risk_score: float
        risk_level: string        # Low, Medium, High, Critical
        root_causes: array
        controls: array
        control_effectiveness: string
        residual_risk: float
        owner: string
        mitigation_status: string
  heat_map:
    visualization_data: object
    distribution: object
  summary:
    total_risks: integer
    by_category: object
    by_level: object
    trends: object
  recommendations: array
  action_plan: array

Usage

Comprehensive Risk Assessment

Input: Supply chain scope, identified risks, historical incidents
Process: Score risks, calculate rankings, generate heat map
Output: Complete risk assessment with prioritized register

Category-Specific Analysis

Input: Supplier category risks, control inventory
Process: Deep-dive risk analysis for supplier domain
Output: Supplier risk profile with mitigation priorities

Control Effectiveness Review

Input: Current controls, incident data, audit findings
Process: Evaluate control performance, identify gaps
Output: Control effectiveness report with recommendations

Integration Points

  • Risk Management Systems: GRC platforms
  • Incident Management: Historical event data
  • Supplier Systems: Supplier risk inputs
  • Tools/Libraries: Risk frameworks, FMEA templates, visualization

Process Dependencies

  • Supply Chain Risk Assessment
  • Supplier Risk Monitoring and Early Warning
  • Business Continuity and Contingency Planning

Best Practices

  1. Conduct comprehensive risk identification workshops
  2. Use consistent probability-impact scales
  3. Validate assessments with subject matter experts
  4. Review and update risk register quarterly
  5. Link risks to business objectives
  6. Communicate risk status to leadership regularly