SkillCheatSheet
performing-privacy-impact-assessment
An AI agent skill from mukul975/Anthropic-Cybersecurity-Skills, scored 59 out of 100 by code.
Code score by group
It loses the most points in Done criteria (15), the group that checks whether there is a checklist and a step that verifies the work.
What the author says it does
Automates the Privacy Impact Assessment (PIA) workflow including data flow mapping, privacy risk scoring matrices, GDPR Article 35 DPIA and CCPA/CPRA alignment checks, data inventory cataloging, and remediation tracking. Implements the NIST Privacy Framework PRAM methodology and ICO DPIA guidance for systematic identification and mitigation of privacy risks across processing activities. Use when conducting privacy assessments for new systems, evaluating regulatory compliance posture, or building automated privacy governance programs.
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- mukul975/Anthropic-Cybersecurity-Skills
- Folder
- skills/performing-privacy-impact-assessment
- License
- Apache-2.0
- GitHub stars
- 35,958
- SKILL.md lines
- 289
- Other files
- 3
Add performing-privacy-impact-assessment to your agent
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-privacy-impact-assessmentThe command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.
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All skills in mukul975/Anthropic-Cybersecurity-Skills
Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.