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…
Implements data subject rights mechanisms for AI systems including right to explanation of AI decisions, contestation procedures, human review, model output correction, and training data access.
Install AI Data Subject Rights
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill ai-data-subject-rights -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills ai-data-subject-rights --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-data-subject-rights .claude/skills/ai-data-subject-rights && 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-data-subject-rights" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/ai-data-subject-rights into .claude/skills/ai-data-subject-rights/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-data-subject-rights", 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-data-subject-rightsType 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-data-subject-rights -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills ai-data-subject-rights --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-data-subject-rights .agents/skills/ai-data-subject-rights && 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-data-subject-rights" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/ai-data-subject-rights into .agents/skills/ai-data-subject-rights/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-data-subject-rights", 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-data-subject-rights -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills ai-data-subject-rights --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-data-subject-rights .cursor/skills/ai-data-subject-rights && 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-data-subject-rights" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/ai-data-subject-rights into .cursor/skills/ai-data-subject-rights/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-data-subject-rights", 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-data-subject-rights--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-data-subject-rights -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills ai-data-subject-rights --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-data-subject-rights .gemini/skills/ai-data-subject-rights && 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-data-subject-rights" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/ai-data-subject-rights into .gemini/skills/ai-data-subject-rights/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-data-subject-rights", 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-data-subject-rightsInstalls 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-data-subject-rights -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-data-subject-rights .github/skills/ai-data-subject-rights && 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-data-subject-rights" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/ai-data-subject-rights into .github/skills/ai-data-subject-rights/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-data-subject-rights", 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-data-subject-rights -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-data-subject-rights --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-data-subject-rights .opencode/skills/ai-data-subject-rights && 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-data-subject-rights" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/ai-data-subject-rights into .opencode/skills/ai-data-subject-rights/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-data-subject-rights", 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-data-subject-rights- GitHub stars
- 301
- Token cost
- ~2.2k tokens
- SKILL.md length
- 890 words
- Files
- 5 (incl. scripts, references, assets)
- Skills in repo
- 280
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Implements data subject rights mechanisms for AI systems including right to explanation of AI decisions, contestation procedures, human review, model output correction, and training data access.
- Tasks that involve Privacy and GDPR
- SKILL.md covers Overview, Rights Framework for AI, Operational Implementation and Enforcement Precedents, plus 1 more section
- Runs Python scripts from its folder
- Tasks that involve AI governance
What it does
AI Data Subject Rights is an agent skill from mukul975/Privacy-Data-Protection-Skills. Implements data subject rights mechanisms for AI systems including right to explanation of AI decisions, contestation procedures, human review, model output correction, and training data access. Covers GDPR Arts. 15-22 and AI Act Art. 86. Keywords: data subject rights, AI explanation, contestation, human review, training data access, model correction.
Its SKILL.md is about 2.2k 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-data-subject-rights skill to implement data subject rights mechanisms for AI systems including right to explanation of AI decisions…”
- “/ai-data-subject-rights”
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 Data Subject Rights loads about 2.2k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 890 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). 890 words, ~2,193 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-data-subject-rights/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- ai-data-subject-rights
- description
- Implements data subject rights mechanisms for AI systems including right to explanation of AI decisions, contestation procedures, human review, model output correction, and training data access. Covers GDPR Arts. 15-22 and AI Act Art. 86. Keywords: data subject rights, AI explanation, contestation, human review, training data access, model correction.
- license
- Apache-2.0
- metadata.author
- mukul975
- metadata.version
- 1.0
- metadata.domain
- privacy
- metadata.subdomain
- ai-privacy-governance
- metadata.tags
- data-subject-rights, ai-explanation, contestation, human-review, training-data-access, model-correction
Data Subject Rights for AI Systems
Overview
AI systems create unique challenges for data subject rights exercise. Traditional rights mechanisms designed for structured databases do not map directly to ML model architectures where personal data is encoded in model weights, reproduced in model outputs, or used in opaque decision processes. This skill provides the framework for implementing each GDPR right (Arts. 15-22) and the AI Act Art. 86 right to explanation in the context of AI processing, addressing both training-time and inference-time rights.
Rights Framework for AI
Right of Access (Art. 15)
| AI Context | Obligation | Implementation |
|---|---|---|
| Training data contribution | Confirm whether data subject's data was in training set; provide copy if feasible | Training data catalogue indexed by data subject identifier; membership query |
| AI inference inputs | Provide data used as input to AI decision | Log inference inputs with data subject linkage |
| AI inference outputs | Provide AI decision/score/classification affecting data subject | Decision logging with data subject ID |
| Logic explanation | Art. 15(1)(h): meaningful information about logic of automated decisions | SHAP/LIME explanation on request or system-level explanation |
| Training data source | Art. 14(2)(f): source of data if not collected from data subject | Training data provenance documentation |
Technical Challenges:
- Identifying specific records in massive training datasets
- Determining if a data subject's data is in the training set without running membership inference
- Providing meaningful logic explanation for complex models
Right to Rectification (Art. 16)
| AI Context | Obligation | Implementation |
|---|---|---|
| Training data correction | Correct inaccurate data in training dataset | Update training data; assess if model retraining needed |
| Model output correction | Correct inaccurate AI outputs about a data subject | Output correction mechanism; flag in decision system |
| Inference input correction | Correct data used as inference input | Update input data; re-run inference |
Technical Challenge: Correcting training data may require model retraining to propagate the correction. For deployed models, correction may need model update or retraining pipeline.
Right to Erasure (Art. 17)
| AI Context | Obligation | Implementation |
|---|---|---|
| Training data deletion | Delete data subject's data from training dataset | Remove from training data; assess model impact |
| Model unlearning | Remove influence of deleted data from trained model | Machine unlearning technique or full retraining |
| Inference logs | Delete inference inputs and outputs linked to data subject | Purge from decision logs |
| Model outputs | Delete generated content about the data subject | Content removal mechanism |
Technical Challenge: True erasure from a trained model requires either verified machine unlearning or complete model retraining. The EDPB acknowledges this challenge but expects controllers to demonstrate good faith effort and use best available techniques.
Right to Restriction (Art. 18)
| AI Context | Obligation |
|---|---|
| Contested accuracy | Restrict processing while accuracy of training data or AI output is verified |
| Unlawful processing | Restrict rather than delete if data subject requests |
| During objection assessment | Restrict while controller assesses whether legitimate grounds override |
Implementation: Quarantine data subject's data from training pipeline and inference pipeline during restriction period.
Right to Data Portability (Art. 20)
| AI Context | Obligation |
|---|---|
| Training data contribution | Provide data subject's training data contribution in structured, machine-readable format |
| AI-generated profile | If AI has created a profile, provide in portable format |
| Inference history | Provide history of AI decisions affecting data subject |
Show full SKILL.md (381 more words)Show less
Right to Object (Art. 21)
| AI Context | Obligation |
|---|---|
| AI training objection | If training is based on legitimate interest (Art. 6(1)(f)), data subject can object |
| Profiling objection | Object to AI profiling including inference of characteristics |
| Direct marketing | Absolute right to object to AI-driven direct marketing profiling |
Upon objection: Controller must cease processing unless compelling legitimate grounds override. For AI training: remove data from training pipeline and assess model impact.
Rights Relating to Automated Decisions (Art. 22)
| Right | Implementation |
|---|---|
| Right not to be subject | Opt-out from solely automated AI decisions with legal/significant effects |
| Right to human intervention | Qualified human reviewer with authority to override AI |
| Right to express views | Mechanism for data subject to provide additional context |
| Right to contest | Formal contestation with independent review |
| Right to explanation | AI Act Art. 86 + GDPR Recital 71: clear explanation of AI's role in the decision |
AI Act Art. 86 — Right to Explanation
For high-risk AI systems, affected persons have the right to:
- Clear and meaningful explanations of the role of the AI system in the decision-making procedure
- The main elements of the decision taken
- This right is without prejudice to GDPR data subject rights
Operational Implementation
Rights Request Triage for AI
Data subject rights request received
│
├─ Identify if AI processing is involved
│ ├─ Was AI used in any decision affecting the data subject?
│ ├─ Is the data subject's data in any training dataset?
│ └─ Has AI generated any content about the data subject?
│
├─ Determine applicable AI-specific rights
│ ├─ Access: training data, inference records, logic explanation
│ ├─ Rectification: training data or output correction
│ ├─ Erasure: training data deletion, model unlearning
│ ├─ Restriction: quarantine from AI pipeline
│ ├─ Objection: cease AI training on their data
│ └─ Automated decision: explanation, human review, contestation
│
├─ Route to appropriate team
│ ├─ Standard rights: data protection team
│ ├─ AI-specific: data protection + ML engineering team
│ └─ Contestation: independent review panel
│
└─ Process within Art. 12 timeframe (one month, extendable by two)Response Timeframes
| Request Type | Standard | Extended | Justification for Extension |
|---|---|---|---|
| Access (standard) | 1 month | 3 months | Complex, voluminous |
| Access (AI logic) | 1 month | 3 months | Requires technical explanation generation |
| Rectification | 1 month | 3 months | May require model retraining |
| Erasure | 1 month | 3 months | Machine unlearning complexity |
| Explanation (Art. 86) | Without undue delay | — | Time-critical for affected persons |
| Contestation | 30 days | 90 days | Requires independent review |
Enforcement Precedents
- Austrian DPA v. CRIF (2023): Violation of Art. 15(1)(h) — credit scoring system failed to provide meaningful information about automated decision logic upon access request.
- Garante v. OpenAI (2023): Required mechanism for data subjects to request correction of inaccurate AI outputs and to object to AI training on their data.
- Dutch DPA guidance (2024): Right to erasure includes obligation to address erasure from AI training data, even if technically challenging.
- EDPB ChatGPT Taskforce (2024): Controllers must demonstrate capability to address rights requests affecting training data — technical difficulty does not exempt.
Integration Points
- ai-automated-decisions: Contestation and human review mechanisms
- ai-transparency-reqs: Logic explanation fulfils transparency obligations
- ai-data-retention: Erasure rights intersect with retention and unlearning
- ai-training-lawfulness: Objection right applies to legitimate interest-based training
© 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-data-subject-rights 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 Data Subject Rights 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 Data Subject Rights this skillmukul975/Privacy-Data-Protection-Skills | 301 | — | ~2.2k | 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 Data Subject Rights
What does AI Data Subject Rights do?
Implements data subject rights mechanisms for AI systems including right to explanation of AI decisions, contestation procedures, human review, model output correction, and training data access. AI Data Subject Rights is an agent skill from mukul975/Privacy-Data-Protection-Skills. Implements data subject rights mechanisms for AI systems including right to explanation of AI decisions, contestation procedures, human review, model output correction, and training data access.
When should I use AI Data Subject Rights?
AI Data Subject Rights fits situations like: tasks that involve Privacy and GDPR; tasks that involve AI governance.
How do I install AI Data Subject Rights in Claude Code?
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill ai-data-subject-rights -a claude-code`. Or copy the skill folder (skills/privacy/ai-data-subject-rights in mukul975/Privacy-Data-Protection-Skills) into .claude/skills/ai-data-subject-rights in your project. Claude Code loads it when a task matches its description.
How do I install AI Data Subject Rights in Codex?
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill ai-data-subject-rights -a codex`. Or copy the skill folder (skills/privacy/ai-data-subject-rights in mukul975/Privacy-Data-Protection-Skills) into .agents/skills/ai-data-subject-rights in your project. Codex loads it when a task matches its description.
Can I use AI Data Subject Rights 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-data-subject-rights -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-data-subject-rights, .gemini/skills/ai-data-subject-rights, .github/skills/ai-data-subject-rights and .opencode/skills/ai-data-subject-rights in your project.
What does AI Data Subject Rights need to run?
Going by SKILL.md and its folder, AI Data Subject Rights needs Python for the scripts in its folder. Our summary lists: Python 3.
Does AI Data Subject Rights 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 Data Subject Rights 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 Data Subject Rights use?
AI Data Subject Rights 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 Data Subject Rights use?
About 2.2k tokens (SKILL.md is roughly 8.8k 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 1.2k tokens, read only when the agent opens those files.
What are the alternatives to AI Data Subject Rights?
Skills that share tags, products or a category with AI Data Subject Rights: 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 Data Subject Rights?
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.