Compliance Testing
petrkindlmann/qa-skills
Test for regulatory compliance: GDPR/CMP consent verification, Google Consent Mode v2, Global Privacy Control (GPC), CCPA/US state opt-out, EU AI Act Article 50 transparency, Better Ads Standards…
Provides combined DPIA and AI Act conformity assessment template with integrated risk scoring matrix.
Install AI Privacy Impact Template
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill ai-privacy-impact-template -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills ai-privacy-impact-template --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/privacy/ai-privacy-impact-template .claude/skills/ai-privacy-impact-template && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ai-privacy-impact-template" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/ai-privacy-impact-template into .claude/skills/ai-privacy-impact-template/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-privacy-impact-template", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/ai-privacy-impact-templateType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill ai-privacy-impact-template -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills ai-privacy-impact-template --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/privacy/ai-privacy-impact-template .agents/skills/ai-privacy-impact-template && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-privacy-impact-template" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/ai-privacy-impact-template into .agents/skills/ai-privacy-impact-template/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-privacy-impact-template", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill ai-privacy-impact-template -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills ai-privacy-impact-template --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/privacy/ai-privacy-impact-template .cursor/skills/ai-privacy-impact-template && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ai-privacy-impact-template" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/ai-privacy-impact-template into .cursor/skills/ai-privacy-impact-template/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-privacy-impact-template", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mukul975/Privacy-Data-Protection-Skills.git --path skills/privacy/ai-privacy-impact-template--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill ai-privacy-impact-template -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills ai-privacy-impact-template --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/privacy/ai-privacy-impact-template .gemini/skills/ai-privacy-impact-template && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ai-privacy-impact-template" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/ai-privacy-impact-template into .gemini/skills/ai-privacy-impact-template/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-privacy-impact-template", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mukul975/Privacy-Data-Protection-Skills ai-privacy-impact-templateInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill ai-privacy-impact-template -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/privacy/ai-privacy-impact-template .github/skills/ai-privacy-impact-template && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ai-privacy-impact-template" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/ai-privacy-impact-template into .github/skills/ai-privacy-impact-template/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-privacy-impact-template", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill ai-privacy-impact-template -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills ai-privacy-impact-template --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/privacy/ai-privacy-impact-template .opencode/skills/ai-privacy-impact-template && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ai-privacy-impact-template" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/ai-privacy-impact-template into .opencode/skills/ai-privacy-impact-template/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-privacy-impact-template", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ai-privacy-impact-template- GitHub stars
- 301
- Token cost
- ~1.6k tokens
- SKILL.md length
- 642 words
- Files
- 5 (incl. scripts, references, assets)
- Skills in repo
- 280
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Provides combined DPIA and AI Act conformity assessment template with integrated risk scoring matrix.
- Tasks that involve Privacy and GDPR
- SKILL.md covers Overview, Combined Risk Scoring Matrix, GDPR DPIA Requirements (Art.… and AI Act Conformity Assessment…, plus 3 more sections
- Runs Python scripts from its folder
- Tasks that involve AI governance
What it does
AI Privacy Impact Template is an agent skill from mukul975/Privacy-Data-Protection-Skills. Provides combined DPIA and AI Act conformity assessment template with integrated risk scoring matrix. Covers GDPR Art. 35 DPIA elements, AI Act high-risk system requirements, mitigation measures, and human oversight assessment. Keywords: DPIA template, conformity assessment, risk scoring, AI Act, combined assessment, high-risk AI.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/standards.md` and `references/workflows.md`).
It sits in Legal & Compliance, covering Privacy and GDPR and AI governance. The repository describes itself as: 282+ structured privacy & data protection skills for AI agents. GDPR, CCPA, EU AI Act, HIPAA, LGPD, PIPL, DPDP Act. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Privacy and GDPR
- Tasks that involve AI governance
Example prompts
- “Use the ai-privacy-impact-template skill to provide combined DPIA and AI Act conformity assessment template with integrated risk scoring matrix”
- “/ai-privacy-impact-template”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 9b2ef9e. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
AI Privacy Impact Template loads about 1.6k tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 90 tokens; SKILL.md has 642 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from mukul975/Privacy-Data-Protection-Skills at commit 9b2ef9e, republished under its Apache-2.0 licence (© mukul975). 642 words, ~1,559 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-privacy-impact-template/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- ai-privacy-impact-template
- description
- Provides combined DPIA and AI Act conformity assessment template with integrated risk scoring matrix. Covers GDPR Art. 35 DPIA elements, AI Act high-risk system requirements, mitigation measures, and human oversight assessment. Keywords: DPIA template, conformity assessment, risk scoring, AI Act, combined assessment, high-risk AI.
- license
- Apache-2.0
- metadata.author
- mukul975
- metadata.version
- 1.0
- metadata.domain
- privacy
- metadata.subdomain
- ai-privacy-governance
- metadata.tags
- dpia-template, conformity-assessment, risk-scoring, ai-act, combined-assessment, high-risk
Combined DPIA and AI Act Conformity Assessment Template
Overview
High-risk AI systems under the EU AI Act must undergo both a GDPR Art. 35 DPIA and an AI Act conformity assessment. Rather than conducting these as separate exercises, this skill provides an integrated template that satisfies both frameworks simultaneously. The combined assessment ensures consistency between GDPR privacy risk analysis and AI Act safety and fundamental rights evaluation, reduces duplication, and provides a single risk scoring matrix covering both regulatory dimensions. Art. 26(9) AI Act explicitly requires deployers to use DPIA results when fulfilling AI Act obligations.
Combined Risk Scoring Matrix
Risk Dimensions
| Dimension | Source | Weight |
|---|---|---|
| Privacy risk to data subjects | GDPR Art. 35(7)(c) | 30% |
| Fundamental rights impact | EU AI Act Art. 9(2)(a) | 25% |
| Accuracy and reliability risk | EU AI Act Art. 15 | 20% |
| Transparency and explainability gap | GDPR Art. 13(2)(f) + AI Act Art. 13 | 15% |
| Human oversight adequacy | GDPR Art. 22 + AI Act Art. 14 | 10% |
Scoring Scale (Per Dimension)
| Score | Level | Description |
|---|---|---|
| 1 | Minimal | Risk negligible; controls effective |
| 2 | Low | Minor risk; standard controls sufficient |
| 3 | Medium | Moderate risk; enhanced controls needed |
| 4 | High | Significant risk; intensive mitigation required |
| 5 | Critical | Severe risk; may require processing suspension |
Overall Risk Classification
| Weighted Score | Classification | Action Required |
|---|---|---|
| 1.0-1.5 | Low | Standard monitoring |
| 1.6-2.5 | Medium | Enhanced monitoring and periodic review |
| 2.6-3.5 | High | Active mitigation and DPO/Board oversight |
| 3.6-4.5 | Very High | Art. 36 prior consultation; deployment hold pending mitigation |
| 4.6-5.0 | Critical | Do not deploy; fundamental redesign required |
GDPR DPIA Requirements (Art. 35(7))
| Element | Reference | Combined Assessment Section |
|---|---|---|
| Systematic description of processing | Art. 35(7)(a) | Section 2: AI System Description |
| Necessity and proportionality | Art. 35(7)(b) | Section 3: Necessity Assessment |
| Risk assessment | Art. 35(7)(c) | Section 5: Combined Risk Register |
| Mitigation measures | Art. 35(7)(d) | Section 6: Mitigation Measures |
AI Act Conformity Assessment Requirements
For high-risk AI systems (Annex III), the conformity assessment per Art. 43 requires:
| Element | Reference | Combined Assessment Section |
|---|---|---|
| Risk management system | Art. 9 | Section 5: Combined Risk Register |
| Data governance | Art. 10 | Section 2: Training Data Governance |
| Technical documentation | Art. 11 | Full combined assessment document |
| Record-keeping | Art. 12 | Section 7: Monitoring and Logging |
| Transparency | Art. 13 | Section 4: Transparency Assessment |
| Human oversight | Art. 14 | Section 4: Human Oversight |
| Accuracy, robustness, cybersecurity | Art. 15 | Section 5: Technical Risk Assessment |
| Quality management system | Art. 17 | Section 8: Quality Management |
Mitigation Measures Framework
Show full SKILL.md (257 more words)Show less
Technical Measures
| Measure | GDPR Relevance | AI Act Relevance | Priority |
|---|---|---|---|
| Differential privacy | Training data protection | Robustness (Art. 15) | High for sensitive data |
| Model output perturbation | Model inversion protection | Accuracy trade-off (Art. 15) | Medium |
| Fairness constraints | Non-discrimination (Art. 5(1)(a)) | Bias prevention (Art. 10) | High for high-risk |
| Explainability tools (SHAP/LIME) | Art. 13(2)(f) logic explanation | Interpretability (Art. 13) | High |
| Input/output PII filtering | Data minimisation (Art. 5(1)(c)) | Accuracy (Art. 15) | High for generative AI |
| Encryption (rest/transit) | Security (Art. 32) | Cybersecurity (Art. 15) | Standard |
| Access controls (RBAC) | Security (Art. 32) | Cybersecurity (Art. 15) | Standard |
| Anomaly detection | Breach detection (Art. 33) | Robustness (Art. 15) | Medium |
Organisational Measures
| Measure | GDPR Relevance | AI Act Relevance |
|---|---|---|
| AI ethics review board | Accountability (Art. 5(2)) | Quality management (Art. 17) |
| Model cards | Transparency (Art. 13-14) | Technical documentation (Art. 11) |
| Regular bias audits | Fairness (Art. 5(1)(a)) | Bias monitoring (Art. 10) |
| Incident response for AI | Breach notification (Art. 33-34) | Post-market monitoring (Art. 72) |
| Staff training on AI risks | Accountability | Human oversight (Art. 14) |
| Documentation and record-keeping | Accountability (Art. 5(2)) | Record-keeping (Art. 12) |
Enforcement Relevance
- AI Act Art. 26(9): Deployers of high-risk AI shall use GDPR Art. 35 DPIA information when fulfilling AI Act obligations — the combined assessment implements this requirement.
- AI Act Art. 43: Conformity assessment procedures for high-risk AI systems.
- GDPR Art. 35: DPIA requirements — the combined template satisfies all Art. 35(7) elements.
Integration Points
- ai-dpia: Combined template extends the AI DPIA methodology
- ai-act-high-risk-docs: Conformity assessment documentation aligns with high-risk requirements
- ai-bias-special-category: Bias assessment results feed into combined risk register
- ai-automated-decisions: Human oversight assessment integrates Art. 22 and Art. 14 requirements
© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (scripts, references, assets) in skills/privacy/ai-privacy-impact-template of mukul975/Privacy-Data-Protection-Skills.
- SKILL.md
- assets/template.md
- references/standards.md
- references/workflows.md
- scripts/process.py
Open the folder on GitHubat commit 9b2ef9e
Compare with similar skills
AI Privacy Impact Template next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AI Privacy Impact Template this skillmukul975/Privacy-Data-Protection-Skills | 301 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Compliance Testingpetrkindlmann/qa-skills | 170 | — | ~4.6k | Automated safety check: Pass | MIT | |
| Compliance Osalirezarezvani/claude-skills | 28k | — | ~3.3k | Automated safety check: Pass | MIT | |
| Ra Qm Skillsalirezarezvani/claude-skills | 28k | — | ~833 | Automated safety check: Pass | MIT | |
| Cross Regulatory Impact Analyzer Patrick Munrolawve-ai/awesome-legal-skills | 847 | — | ~3.1k | Automated safety check: Pass | AGPL-3.0 | |
| Regulatory Deal Card Generator Patrick Munrolawve-ai/awesome-legal-skills | 847 | — | ~2.1k | Automated safety check: Pass | AGPL-3.0 |
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Related
Categories
Questions about AI Privacy Impact Template
What does AI Privacy Impact Template do?
Provides combined DPIA and AI Act conformity assessment template with integrated risk scoring matrix. AI Privacy Impact Template is an agent skill from mukul975/Privacy-Data-Protection-Skills. Provides combined DPIA and AI Act conformity assessment template with integrated risk scoring matrix.
When should I use AI Privacy Impact Template?
AI Privacy Impact Template fits situations like: tasks that involve Privacy and GDPR; tasks that involve AI governance.
How do I install AI Privacy Impact Template in Claude Code?
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill ai-privacy-impact-template -a claude-code`. Or copy the skill folder (skills/privacy/ai-privacy-impact-template in mukul975/Privacy-Data-Protection-Skills) into .claude/skills/ai-privacy-impact-template in your project. Claude Code loads it when a task matches its description.
How do I install AI Privacy Impact Template in Codex?
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill ai-privacy-impact-template -a codex`. Or copy the skill folder (skills/privacy/ai-privacy-impact-template in mukul975/Privacy-Data-Protection-Skills) into .agents/skills/ai-privacy-impact-template in your project. Codex loads it when a task matches its description.
Can I use AI Privacy Impact Template in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill ai-privacy-impact-template -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-privacy-impact-template, .gemini/skills/ai-privacy-impact-template, .github/skills/ai-privacy-impact-template and .opencode/skills/ai-privacy-impact-template in your project.
What does AI Privacy Impact Template need to run?
Going by SKILL.md and its folder, AI Privacy Impact Template needs Python for the scripts in its folder. Our summary lists: Python 3.
Does AI Privacy Impact Template access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is AI Privacy Impact Template safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does AI Privacy Impact Template use?
AI Privacy Impact Template is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does AI Privacy Impact Template use?
About 1.6k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 948 tokens, read only when the agent opens those files.
What are the alternatives to AI Privacy Impact Template?
Skills that share tags, products or a category with AI Privacy Impact Template: Compliance Testing (petrkindlmann/qa-skills, 170 stars), Compliance Os (alirezarezvani/claude-skills, 28k stars), Ra Qm Skills (alirezarezvani/claude-skills, 28k stars) and Cross Regulatory Impact Analyzer Patrick Munro (lawve-ai/awesome-legal-skills, 847 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Privacy Impact Template?
mukul975 (a GitHub user) maintains it in mukul975/Privacy-Data-Protection-Skills, which has 301 GitHub stars. The repository holds 280 skills in this directory. The repository was last updated on March 16, 2026.
Source: mukul975/Privacy-Data-Protection-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.