Add community-powered risk mitigation skills for OpenDeRisk & n8n

[Copilot]

Implements a comprehensive skill repository for AI-powered SRE automation, risk assessment, and incident response using OpenDeRisk's multi-agent system and n8n workflow automation.

Skills Implemented (7)

Risk Mitigation Core

• Risk Assessment & Analysis - STRIDE/PASTA threat modeling, CVSS scoring, attack surface mapping
• Root Cause Analysis - 5 Whys, Fishbone diagrams, OpenDeRisk multi-agent RCA workflows
• Incident Response - Severity classification, playbook frameworks, communication protocols
• Monitoring & Alerting - RED/USE/Golden Signals metrics, alert design patterns
• Remediation & Recovery - Auto-rollback, circuit breakers, self-healing patterns

n8n Integration

• n8n-OpenDeRisk Integration - API patterns, agent orchestration, webhook flows
• n8n Risk Workflow Patterns - 5 production-ready templates (alert routing, escalation, auto-remediation)

Structure

skills/
├── risk-assessment/         # SKILL.md (500 lines), EXAMPLES.md with complete scenarios
├── root-cause-analysis/     # SKILL.md with multi-agent integration patterns
├── incident-response/       # Framework and playbook references
├── monitoring-alerting/     # Observability best practices
├── remediation-recovery/    # Automation strategies
├── n8n-openderisk-integration/  # API integration guide
└── n8n-risk-workflows/      # Workflow templates and node patterns

examples/
├── n8n-workflows/          # 5 import-ready workflow patterns
├── risk-scenarios/         # Real-world incident case studies
└── playbooks/              # Incident response procedures

docs/
└── SKILL_DEVELOPMENT.md    # Contribution template and guidelines

Usage Example

Skills activate automatically with AI assistants:

# OpenDeRisk multi-agent RCA
from openderisk import SREAgent, CodeAgent, DataAgent

sre_findings = SREAgent().investigate({
    "incident_id": "INC-001",
    "time_range": "2h",
    "symptoms": ["high error rate", "slow response"]
})

code_analysis = CodeAgent().analyze({
    "repository": "payment-service",
    "focus": sre_findings.suspect_areas
})

validation = DataAgent().correlate({
    "evidence": [sre_findings, code_analysis],
    "confidence_threshold": 0.95
})

# n8n workflow: Alert → OpenDeRisk → Slack
nodes:
  - name: "Webhook Alert"
    type: "webhook"
  - name: "OpenDeRisk RCA"
    type: "httpRequest"
    url: "{{$env.OPENDERISK_URL}}/api/v1/agents/sre/investigate"
  - name: "Notify Team"
    type: "slack"
    message: "Root cause: {{$json.analysis.root_cause}}"

Documentation

• CONTRIBUTING.md - Quality standards, style guide, submission process
• README.md - Project overview, skill catalog, integration patterns
• Skill development template with examples from Risk Assessment implementation

Original prompt

Community-Powered Risk Mitigation Skills for OpenDeRisk & n8n

---

✨ Let Copilot coding agent set things up for you — coding agent works faster and does higher quality work when set up for your repo.