Agent skill

Dpia Mitigation Plan

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

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

Apache-2.0Auto-check passedLegal & Compliance

Install Dpia Mitigation Plan

skills CLI
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill dpia-mitigation-plan -a claude-code

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

GitHub CLI
$ gh skill install mukul975/Privacy-Data-Protection-Skills dpia-mitigation-plan --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/dpia-mitigation-plan .claude/skills/dpia-mitigation-plan && 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
dpia-mitigation-plan
GitHub stars
297
Token cost
~846 tokens
SKILL.md length
258 words
Files
5 (incl. scripts, references, assets)
Skills in repo
280
Repo updated
First seen
Licence
Apache-2.0

At a glance

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

  • Works in 8 steps: Risk reference -- Link to DPIA risk… → Inherent risk level -- Before mitigation → Proposed measures -- Specific technical… → …
  • Tasks that involve Privacy and GDPR
  • SKILL.md covers Overview, Mitigation Strategy Categories, Mitigation Plan Structure and Residual Risk Decision Framework, plus 1 more section
  • Runs Python scripts from its folder

What it does

Dpia Mitigation Plan is an agent skill from mukul975/Privacy-Data-Protection-Skills. Structures risk mitigation planning and residual risk tracking for Data Protection Impact Assessments under GDPR Article 35(7)(d). Covers mitigation measure identification, implementation tracking, residual risk acceptance, and Art. 36 prior consultation triggers. Keywords: DPIA mitigation, risk treatment, residual risk, Art. 35(7)(d), safeguards, mitigation tracking, prior consultation.

Its SKILL.md is about 850 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. 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

Example prompts

  • “Use the dpia-mitigation-plan skill to structure risk mitigation planning and residual risk tracking for Data Protection Impact Assessments under…”
  • “/dpia-mitigation-plan”

Requirements

  • Python 3

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Risk reference -- Link to DPIA risk register entry
  2. Inherent risk level -- Before mitigation
  3. Proposed measures -- Specific technical and organisational controls
  4. Implementation owner -- Accountable person
  5. Implementation deadline -- Target completion date
  6. Verification method -- How effectiveness will be confirmed
  7. Residual risk level -- After planned mitigation
  8. Acceptance decision -- Within appetite / escalation required / prior consultation

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

Dpia Mitigation Plan loads about 846 tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 103 tokens; SKILL.md has 258 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~103
When it runs · the whole SKILL.md, loaded when a task matches
~846
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.5k

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). 258 words, ~846 tokens.

Download SKILL.mdSave it as .claude/skills/dpia-mitigation-plan/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
dpia-mitigation-plan
description
Structures risk mitigation planning and residual risk tracking for Data Protection Impact Assessments under GDPR Article 35(7)(d). Covers mitigation measure identification, implementation tracking, residual risk acceptance, and Art. 36 prior consultation triggers. Keywords: DPIA mitigation, risk treatment, residual risk, Art. 35(7)(d), safeguards, mitigation tracking, prior consultation.
license
Apache-2.0
metadata.author
mukul975
metadata.version
1.0
metadata.domain
privacy
metadata.subdomain
privacy-impact-assessment
metadata.tags
dpia-mitigation, risk-treatment, residual-risk, art-35-7d, safeguards

DPIA Mitigation Planning

Overview

Article 35(7)(d) GDPR requires a DPIA to include "the measures envisaged to address the risks, including safeguards, security measures and mechanisms to ensure the protection of personal data and to demonstrate compliance with this Regulation." This skill provides a structured mitigation planning framework.

Mitigation Strategy Categories

Technical Measures
CategoryExamplesGDPR Reference
EncryptionAt-rest, in-transit, end-to-endArt. 32(1)(a)
PseudonymisationTokenisation, hashing, key-codedArt. 25(1), Art. 32(1)(a)
Access controlsRBAC, MFA, privileged access managementArt. 32(1)(b)
Data minimisationField-level reduction, aggregation, samplingArt. 5(1)(c), Art. 25(1)
Anonymisationk-anonymity, differential privacy, generalisationRecital 26
MonitoringSIEM, DLP, anomaly detectionArt. 32(1)(d)
Organisational Measures
CategoryExamplesGDPR Reference
PoliciesData protection policy, acceptable useArt. 24(2)
TrainingPrivacy awareness, role-specific trainingArt. 39(1)(b)
ContractsDPAs, joint controller arrangements, NDAsArt. 28, Art. 26
AuditsInternal audits, processor audits, certificationArt. 28(3)(h)
GovernanceDPO oversight, privacy committee, RACIArt. 37-39
Incident responseBreach procedures, notification protocolsArt. 33-34

Mitigation Plan Structure

For each identified risk:

  1. Risk reference -- Link to DPIA risk register entry
  2. Inherent risk level -- Before mitigation
  3. Proposed measures -- Specific technical and organisational controls
  4. Implementation owner -- Accountable person
  5. Implementation deadline -- Target completion date
  6. Verification method -- How effectiveness will be confirmed
  7. Residual risk level -- After planned mitigation
  8. Acceptance decision -- Within appetite / escalation required / prior consultation

Residual Risk Decision Framework

Residual Risk LOW → Accept; document; routine monitoring
Residual Risk MEDIUM → Accept with enhanced monitoring; annual review
Residual Risk HIGH → Escalate to senior management; consider additional measures
Residual Risk VERY HIGH → Art. 36 prior consultation required before processing

Implementation Tracking

Each mitigation measure progresses through:

  • Proposed -- Identified but not yet approved
  • Approved -- Budget and resources allocated
  • In Progress -- Implementation underway
  • Implemented -- Deployed and operational
  • Verified -- Effectiveness confirmed through testing

© 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/dpia-mitigation-plan 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

Dpia Mitigation Plan 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.

Dpia Mitigation Plan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Dpia Mitigation Plan this skillmukul975/Privacy-Data-Protection-Skills297—~846Automated safety check: PassApache-2.0
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
Gdpr ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance9431 repos~3.9kAutomated safety check: PassMIT
Hipaa ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance9431 repos~2.3kAutomated safety check: PassMIT

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Questions about Dpia Mitigation Plan

What does Dpia Mitigation Plan do?

Structures risk mitigation planning and residual risk tracking for Data Protection Impact Assessments under GDPR Article 35(7)(d). Dpia Mitigation Plan is an agent skill from mukul975/Privacy-Data-Protection-Skills. Structures risk mitigation planning and residual risk tracking for Data Protection Impact Assessments under GDPR Article 35(7)(d).

When should I use Dpia Mitigation Plan?

Dpia Mitigation Plan fits situations like: tasks that involve Privacy and GDPR.

How do I install Dpia Mitigation Plan in Claude Code?

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

How do I install Dpia Mitigation Plan in Codex?

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

Can I use Dpia Mitigation Plan 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 dpia-mitigation-plan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dpia-mitigation-plan, .gemini/skills/dpia-mitigation-plan, .github/skills/dpia-mitigation-plan and .opencode/skills/dpia-mitigation-plan in your project.

What does Dpia Mitigation Plan need to run?

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

Does Dpia Mitigation Plan 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 Dpia Mitigation Plan 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 Dpia Mitigation Plan use?

Dpia Mitigation Plan 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 Dpia Mitigation Plan use?

About 846 tokens (SKILL.md is roughly 3.4k 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 1.6k tokens, read only when the agent opens those files.

What are the alternatives to Dpia Mitigation Plan?

Skills that share tags, products or a category with Dpia Mitigation Plan: C15t (c15t/c15t, 1.9k stars), HIPAA Safe Harbor Coverage Audit (maziyarpanahi/openmed, 5.5k stars), Korean Privacy Terms (kimlawtech/korean-privacy-terms, 586 stars) and Gdpr Compliance (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 943 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dpia Mitigation Plan?

mukul975 (a GitHub user) maintains it in mukul975/Privacy-Data-Protection-Skills, which has 297 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.