사용 방법
- 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
- 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
- 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/mukul975/privacy-data-protection-skills --skill dpia-risk-scoring시작 전 확인
- 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
- 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 Skill 문서
원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.
DPIA Risk Scoring Methodology
Overview
Art. 35(7)(c) GDPR requires a DPIA to include "an assessment of the risks to the rights and freedoms of data subjects." This skill provides a quantifiable risk scoring framework that converts qualitative privacy risks into comparable, prioritised scores supporting mitigation decisions.
Risk Scoring Framework
Severity Scale (Impact on Data Subject Rights)
| Level | Score | Description | Examples |
|---|---|---|---|
| Negligible | 1 | Minor inconvenience, easily recoverable | Temporary inability to access non-essential service |
| Limited | 2 | Significant inconvenience, recoverable with effort | Targeted advertising based on inferred preferences |
| Significant | 3 | Serious consequences, difficult to recover from | Financial loss, discrimination, reputational harm |
| Maximum | 4 | Irreversible or very difficult to recover from | Identity theft, physical safety risk, loss of employment |
Likelihood Scale
| Level | Score | Description | Indicators |
|---|---|---|---|
| Negligible | 1 | Unlikely given current controls | Strong technical controls, limited access, encrypted at rest and in transit |
| Limited | 2 | Possible but requires specific conditions | Some access controls, partial encryption, known but unproven attack vectors |
| Significant | 3 | Probable given known threat landscape | Weak controls in specific areas, prior incidents in sector, active threat actors |
| Maximum | 4 | Near-certain or already occurring | No controls, known vulnerabilities, prior breach of similar system |
Risk Matrix
Severity → Negligible(1) Limited(2) Significant(3) Maximum(4)
Likelihood ↓
Maximum(4) 4(M) 8(H) 12(VH) 16(VH)
Significant(3) 3(L) 6(M) 9(H) 12(VH)
Limited(2) 2(L) 4(M) 6(M) 8(H)
Negligible(1) 1(L) 2(L) 3(L) 4(M)
Risk Levels: L=Low(1-3), M=Medium(4-6), H=High(7-9), VH=Very High(10-16)Risk Categories (ENISA-Aligned)
Rights and Freedoms Impacts
- Loss of confidentiality -- Unauthorised disclosure of personal data
- Loss of integrity -- Unauthorised modification of personal data
- Loss of availability -- Inability to access or use personal data
- Loss of purpose limitation -- Data used beyond original purpose
- Discrimination -- Unfair treatment based on processing outcomes
- Identity theft/fraud -- Misuse of personal data for impersonation
- Financial loss -- Direct or indirect monetary harm
- Reputational damage -- Social standing or professional harm
- Physical harm -- Safety or health impacts
- Loss of autonomy -- Chilling effects on behaviour or free expression
Inherent vs Residual Risk
- Inherent risk: Risk level before applying any mitigation measures
- Residual risk: Risk level after applying planned mitigation measures
- Risk reduction: Difference between inherent and residual risk scores
- Acceptable risk threshold: Organisation-defined tolerance level
Art. 36 Prior Consultation Trigger
When residual risk remains High or Very High after all feasible mitigation measures, the controller must consult the supervisory authority under Art. 36(1) before commencing processing.
