Agent skill

Data Portability

by mukul975 in mukul975/Privacy-Data-Protection-Skills

Executes GDPR Article 20 data portability requests, covering machine-readable format requirements (JSON, CSV, XML), direct controller-to-controller transfer mechanisms, and scope limitations to data…

Apache-2.0Auto-check passedLegal & Compliance

Install Data Portability

skills CLI
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill data-portability -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Privacy-Data-Protection-Skills data-portability --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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/data-portability .claude/skills/data-portability && rm -rf skills-src

Use ~/.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/

Facts

Skill name
data-portability
GitHub stars
295
Token cost
~2k tokens
SKILL.md length
1,017 words
Files
5 (incl. scripts, references, assets)
Skills in repo
278
Repo updated
First seen
Licence
Apache-2.0

At a glance

Executes GDPR Article 20 data portability requests, covering machine-readable format requirements (JSON, CSV, XML), direct controller-to-controller transfer mechanisms, and scope limitations to data…

  • Works in 7 steps: Receive and Validate the Request → Scope Assessment → Data Extraction → …
  • Tasks that involve Privacy and GDPR
  • SKILL.md covers Overview, Legal Foundation, Portability Request Workflow and Response Timeline
  • Runs Python scripts from its folder

What it does

Data Portability is an agent skill from mukul975/Privacy-Data-Protection-Skills. Executes GDPR Article 20 data portability requests, covering machine-readable format requirements (JSON, CSV, XML), direct controller-to-controller transfer mechanisms, and scope limitations to data provided by the subject on consent or contract basis. Activate for portability, data export, Art. 20, data transfer queries.

Its SKILL.md is about 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 CSV and tabular files. 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 CSV and tabular files

Example prompts

  • “Use the data-portability skill to execute GDPR Article 20 data portability requests, covering machine-readable format requirements (JSON, CSV, XML)…”
  • “/data-portability”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Receive and Validate the Request
  2. Scope Assessment
  3. Data Extraction
  4. Format the Data
  5. Execute Direct Transfer (If Applicable)
  6. Deliver to Data Subject (Self-Export)
  7. Close and Document

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

Data Portability loads about 2k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 1,017 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.7k

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). 1,017 words, ~2,004 tokens.

Download SKILL.mdSave it as .claude/skills/data-portability/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
data-portability
description
Executes GDPR Article 20 data portability requests, covering machine-readable format requirements (JSON, CSV, XML), direct controller-to-controller transfer mechanisms, and scope limitations to data provided by the subject on consent or contract basis. Activate for portability, data export, Art. 20, data transfer queries.
license
Apache-2.0
metadata.author
mukul975
metadata.version
1.0
metadata.domain
privacy
metadata.subdomain
data-subject-rights
metadata.tags
data-portability, gdpr-article-20, machine-readable, data-export, controller-transfer

Executing Data Portability Requests

Overview

The right to data portability under GDPR Article 20 allows data subjects to receive their personal data in a structured, commonly used, and machine-readable format, and to transmit that data to another controller without hindrance. This skill provides the complete workflow for assessing scope, extracting data, formatting output, and facilitating direct transfers.

GDPR Article 20 — Right to Data Portability
  1. Art. 20(1) — The data subject has the right to receive the personal data concerning them, which they have provided to a controller, in a structured, commonly used and machine-readable format, and has the right to transmit those data to another controller without hindrance from the controller to which the personal data have been provided, where:

    • (a) the processing is based on consent under Art. 6(1)(a) or Art. 9(2)(a), or on a contract under Art. 6(1)(b); AND
    • (b) the processing is carried out by automated means.
  2. Art. 20(2) — The data subject has the right to have the personal data transmitted directly from one controller to another, where technically feasible.

  3. Art. 20(3) — The exercise of portability shall not adversely affect the rights and freedoms of others.

  4. Art. 20(4) — The right to portability shall not apply to processing necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller.

Scope: What Data Is Portable

Per EDPB (formerly WP29) Guidelines on the right to data portability (WP242 rev.01), portable data includes:

  1. Data provided by the data subject: Information actively and knowingly provided (e.g., account details, form submissions, uploaded content).
  2. Observed data: Data generated by the data subject's activity (e.g., search history, location data, activity logs, raw sensor data from connected devices).
  3. NOT included — Inferred or derived data: Data created by the controller through analysis (e.g., credit scores, profiling segments, algorithmic assessments). These are the controller's intellectual output.

Portability applies ONLY where the legal basis for processing is:

  • Art. 6(1)(a) — Consent
  • Art. 9(2)(a) — Explicit consent (for special category data)
  • Art. 6(1)(b) — Performance of a contract

Portability does NOT apply to data processed under:

  • Art. 6(1)(c) — Legal obligation
  • Art. 6(1)(d) — Vital interests
  • Art. 6(1)(e) — Public interest / official authority
  • Art. 6(1)(f) — Legitimate interests

Portability Request Workflow

Step 1: Receive and Validate the Request
  1. Log the request with reference PORT-YYYY-NNNN.
  2. Verify the requester's identity (tiered verification as per DSAR process).
  3. Determine whether the request is for:
    • (a) Self-export: Data subject wants to receive their data directly.
    • (b) Direct transfer: Data subject wants data transmitted to another controller.
  4. If direct transfer, obtain the receiving controller's details:
    • Organisation name and registered address
    • Technical contact email
    • API endpoint or secure transfer mechanism (if available)
    • Data format preference
Step 2: Scope Assessment
  1. Identify all personal data the subject has provided or that has been observed through their use of the service.
  2. Filter by legal basis — include only data processed under consent (Art. 6(1)(a)/Art. 9(2)(a)) or contract (Art. 6(1)(b)).
  3. Exclude inferred or derived data (profiling scores, analytics outputs, internal assessments).
  4. Exclude data that would adversely affect the rights and freedoms of others (Art. 20(3)) — redact third-party personal data from exported datasets.
  5. Confirm that processing is carried out by automated means (manual paper files are excluded).
Step 3: Data Extraction
  1. Query all relevant systems for the in-scope data:
    • Customer account database
    • Transaction/order history
    • User-generated content (uploads, posts, messages authored by the subject)
    • Service interaction logs (observed data)
    • Preference and settings data
    • Connected device data (if applicable)
  2. Apply the scope filter from Step 2.
  3. De-duplicate records across systems.
  4. Validate data integrity (checksums, record counts).
Show full SKILL.md (406 more words)Show less
Step 4: Format the Data

Meridian Analytics Ltd supports the following machine-readable formats:

FormatMIME TypeUse CaseSchema
JSONapplication/jsonDefault — structured, widely supportedSchema documented in API specification
CSVtext/csvTabular data, spreadsheet-compatibleHeader row with field names, UTF-8 encoding, RFC 4180 compliant
XMLapplication/xmlEnterprise integration, legacy systemsXSD schema provided with export

Format selection priority:

  1. If the data subject specified a preferred format, use it (if supported).
  2. If the receiving controller specified a format, use it.
  3. Default to JSON.

Data packaging:

  • Each data category is exported as a separate file (e.g., account_data.json, transactions.csv, content_uploads.json).
  • A manifest file (manifest.json) lists all included files, record counts, date ranges, and checksums.
  • Files are packaged into a single ZIP archive with AES-256 encryption.
Step 5: Execute Direct Transfer (If Applicable)

If the data subject requested direct controller-to-controller transfer under Art. 20(2):

  1. Verify the receiving controller's identity and authorisation.
  2. Establish a secure transfer channel:
    • Option A — API transfer: If the receiving controller provides an API endpoint, transmit via HTTPS with mutual TLS authentication.
    • Option B — SFTP transfer: Establish an SFTP connection with SSH key authentication.
    • Option C — Secure file exchange: Upload the encrypted archive to a secure portal and provide time-limited access credentials to the receiving controller.
  3. Obtain transfer confirmation (HTTP 200/201 response, SFTP receipt confirmation, or download confirmation).
  4. If direct transfer is not technically feasible, notify the data subject and provide the data directly to them instead, per Art. 20(2).
Step 6: Deliver to Data Subject (Self-Export)
  1. Upload the encrypted archive to the secure download portal.
  2. Send notification to the data subject with:
    • Secure download link (72-hour expiry)
    • Decryption password (sent via separate channel — SMS or secondary email)
    • Manifest summary (file list, record counts)
    • Instructions for opening the archive
  3. Record the delivery confirmation.
Step 7: Close and Document
  1. Update the portability request register with:
    • Completion date
    • Data categories exported
    • Format used
    • Transfer method (self-export or direct transfer)
    • Recipient controller (if direct transfer)
  2. Retain the processing record for 3 years.
  3. The export does NOT require deletion of the original data — portability is an additional right, not a replacement for erasure.

Response Timeline

  • Standard deadline: 30 calendar days from receipt of the request.
  • Extension: Up to 60 additional days for complex requests (Art. 12(3)).
  • No fee: The first copy must be provided free of charge. Additional copies may incur a reasonable fee under Art. 12(5).

© 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/data-portability 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

Data Portability 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.

Data Portability compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Data Portability this skillmukul975/Privacy-Data-Protection-Skills295—~2kAutomated safety check: PassApache-2.0
Data Exportgustavscirulis/snapgrid1171 repos~2.9kAutomated safety check: NotesCustom licence
Data Importindranilbanerjee/digital-marketing-pro8551 repos~2.3kAutomated safety check: PassMIT
C15tc15t/c15t1.9k1 repos~1.6kAutomated safety check: PassApache-2.0
HIPAA Safe Harbor Coverage Auditmaziyarpanahi/openmed5.5k—~1.7kAutomated safety check: PassApache-2.0
Korean Privacy Termskimlawtech/korean-privacy-terms586—~2.9kAutomated safety check: PassApache-2.0

Similar skills

  • Data Export

    gustavscirulis/snapgrid

    Generates data export/import infrastructure for JSON, CSV, PDF formats with GDPR data portability, share sheet integration, and file import.

    117 GitHub starsUsed in 1 repo~2.9k tokens
    Legal & ComplianceAuto-check: notes
  • Data Import

    indranilbanerjee/digital-marketing-pro

    Import CSV, JSON, or Google Sheets data into a connected CRM, email platform, or audience store — auto-suggested field mapping, validation, dedup against existing records, consent verification, and…

    855 GitHub starsUsed in 1 repo~2.3k tokens
    Sales & SupportAuto-check passed
  • C15t

    c15t/c15t

    Work with c15t consent management docs, APIs, and integrations for Next.js, React, and JavaScript.

    1.9k GitHub starsUsed in 1 repo~1.6k tokens
    Legal & ComplianceAuto-check passed
  • Checks OpenMed de-identified clinical text against the 18 HIPAA Safe Harbor identifier categories and reports gaps and residual re-identification risk.

    5.5k GitHub stars~1.7k tokensUpdated today
    Legal & ComplianceAuto-check passed
  • Korean Privacy Terms

    kimlawtech/korean-privacy-terms

    처리방침·이용약관 자동 생성 스킬 패키지 (v4.0). An agent skill from kimlawtech/korean-privacy-terms.

    586 GitHub stars~2.9k tokensUpdated 1 mo ago
    Legal & ComplianceAuto-check passed
  • Gdpr Compliance

    Sushegaad/Claude-Skills-Governance-Risk-and-Compliance

    Expert GDPR compliance assistant covering all four core workflows: (1) auditing code and systems for GDPR violations, (2) drafting GDPR-compliant documents such as privacy policies, Data Processing…

    942 GitHub starsUsed in 1 repo~3.9k tokens
    Legal & ComplianceAuto-check passed

More from mukul975/Privacy-Data-Protection-Skills

All 278 skills in this repo
  • Age Gating Services

    mukul975/Privacy-Data-Protection-Skills

    Implements age-gating mechanisms for online services to restrict access based on user age.

    295 GitHub stars~3.7k tokensUpdated 6 mo ago
    Auto-check passed
  • AI Data Retention

    mukul975/Privacy-Data-Protection-Skills

    Manages AI model retention and machine unlearning requirements.

    295 GitHub stars~1.9k tokensUpdated 6 mo ago
    Auto-check passed
  • Dpia Mitigation Plan

    mukul975/Privacy-Data-Protection-Skills

    Structures risk mitigation planning and residual risk tracking for Data Protection Impact Assessments under GDPR Article 35(7)(d).

    295 GitHub stars~846 tokensUpdated 6 mo ago
    Auto-check passed
  • Gdpr Accountability

    mukul975/Privacy-Data-Protection-Skills

    Guides implementation of the GDPR accountability principle under Articles 5(2) and 24, including documentation requirements for policies, DPIAs, RoPA, training records, and breach logs.

    295 GitHub stars~1.9k tokensUpdated 6 mo ago
    Auto-check passed
  • Pia Threshold Screening

    mukul975/Privacy-Data-Protection-Skills

    Conducts pre-DPIA threshold screening to determine whether a full Data Protection Impact Assessment is required under GDPR Article 35.

    295 GitHub stars~880 tokensUpdated 6 mo ago
    Auto-check passed
  • Retention Schedule

    mukul975/Privacy-Data-Protection-Skills

    Designs and implements data retention schedules compliant with GDPR Article 5(1)(e) storage limitation principle.

    295 GitHub stars~3.3k tokensUpdated 6 mo ago
    Auto-check passed

Questions about Data Portability

What does Data Portability do?

Executes GDPR Article 20 data portability requests, covering machine-readable format requirements (JSON, CSV, XML), direct controller-to-controller transfer mechanisms, and scope limitations to data…. Data Portability is an agent skill from mukul975/Privacy-Data-Protection-Skills. Executes GDPR Article 20 data portability requests, covering machine-readable format requirements (JSON, CSV, XML), direct controller-to-controller transfer mechanisms, and scope limitations to data provided by the subject on consent or contract basis.

When should I use Data Portability?

Data Portability fits situations like: tasks that involve Privacy and GDPR; tasks that involve CSV and tabular files.

How do I install Data Portability in Claude Code?

Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill data-portability -a claude-code`. Or copy the skill folder (skills/privacy/data-portability in mukul975/Privacy-Data-Protection-Skills) into .claude/skills/data-portability in your project. Claude Code loads it when a task matches its description.

How do I install Data Portability in Codex?

Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill data-portability -a codex`. Or copy the skill folder (skills/privacy/data-portability in mukul975/Privacy-Data-Protection-Skills) into .agents/skills/data-portability in your project. Codex loads it when a task matches its description.

Can I use Data Portability 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 data-portability -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-portability, .gemini/skills/data-portability, .github/skills/data-portability and .opencode/skills/data-portability in your project.

What does Data Portability need to run?

Going by SKILL.md and its folder, Data Portability needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Data Portability 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 Data Portability 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 Data Portability use?

Data Portability 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 Data Portability use?

About 2k tokens (SKILL.md is roughly 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 1.7k tokens, read only when the agent opens those files.

What are the alternatives to Data Portability?

Skills that share tags, products or a category with Data Portability: Data Export (gustavscirulis/snapgrid, 117 stars), Data Import (indranilbanerjee/digital-marketing-pro, 855 stars), C15t (c15t/c15t, 1.9k stars) and HIPAA Safe Harbor Coverage Audit (maziyarpanahi/openmed, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Data Portability?

mukul975 (a GitHub user) maintains it in mukul975/Privacy-Data-Protection-Skills, which has 295 GitHub stars. The repository holds 278 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.