القائمة
Risk assessment is a systematic process of identifying, analyzing, and evaluating potential risks that could affect project success, system stability, or business operations. This skill provides frame
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| id | SKL-risk-RISKASSESSMENT |
| name | Risk Assessment |
| description | Risk assessment is a systematic process of identifying, analyzing, and evaluating potential risks that could affect project success, system stability, or business operations. This skill provides frame |
| version | 1.0.0 |
| status | active |
| owner | @cerebra-team |
| last_updated | 2026-02-22 |
| category | Backend |
| tags | ["api","backend","server","database"] |
| stack | ["Python","Node.js","REST API","GraphQL"] |
| difficulty | Intermediate |
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Risk assessment is a systematic process of identifying, analyzing, and evaluating potential risks that could affect project success, system stability, or business operations. This skill provides frameworks and methodologies for effective risk management, including risk identification, analysis, prioritization, mitigation planning, and continuous monitoring. It enables teams to proactively address potential issues before they materialize, reducing likelihood and impact of incidents.
# Example implementation following best practices
def example_function():
# Your implementation here
pass
.env.example keys: API_KEY, DATABASE_URL (no values)| Type | Focus Area | Required Scenarios / Mocks |
|---|---|---|
| Unit | Core Logic | Must cover primary logic and at least 3 edge/error cases. Target minimum 80% coverage |
| Integration | DB / API | All external API calls or database connections must be mocked during unit tests |
| E2E | User Journey | Critical user flows to test |
| Performance | Latency / Load | Benchmark requirements |
| Security | Vuln / Auth | SAST/DAST or dependency audit |
| Frontend | UX / A11y | Accessibility checklist (WCAG), Performance Budget (Lighthouse score) |
request_iderror_rate, latency, queue_depth(ข้อกำหนดสำหรับ AI Agent ในการคิดและแก้ปัญหาเมื่อเกิดข้อผิดพลาด)