Ai Privacy Impact Template

Community

mukul975

ai-privacy-impact-template

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.

Overview

Publisher	mukul975
Repository	`Privacy-Data-Protection-Skills`
Skill name	`ai-privacy-impact-template`
Stars	279
Forks	59
Bundled files	4
License	Apache-2.0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by mukul975 on GitHub. Read the source before you install it.

Installation

Install the Ai Privacy Impact Template AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/plugins/ai-privacy-governance-skills/skills/ai-privacy-impact-template

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git /tmp/Privacy-Data-Protection-Skills
mkdir -p .claude/skills
cp -r /tmp/Privacy-Data-Protection-Skills/plugins/ai-privacy-governance-skills/skills/ai-privacy-impact-template .claude/skills/ai-privacy-impact-template

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ai Privacy Impact Template in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ai Privacy Impact Template on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ai Privacy Impact Template is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ai Privacy Impact Template AI skill do?

Why use Ai Privacy Impact Template on TypingMind?

Because you install it once and use it with any model. Ai Privacy Impact Template is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ai Privacy Impact Template in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/plugins/ai-privacy-governance-skills/skills/ai-privacy-impact-template. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ai Privacy Impact Template?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ai Privacy Impact Template?

As many as you like. As long as a model supports skills, you can use Ai Privacy Impact Template with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ai Privacy Impact Template AI skill free?

Yes. It is published on GitHub by mukul975 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Combined DPIA and AI Act Conformity Assessment Template

Overview

Combined Risk Scoring Matrix

Risk Dimensions

Scoring Scale (Per Dimension)

Overall Risk Classification

GDPR DPIA Requirements (Art. 35(7))

AI Act Conformity Assessment Requirements

Mitigation Measures Framework

Technical Measures

Organisational Measures

Enforcement Relevance

Integration Points

Bundled files

Frequently asked questions

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