Dpia Assessment
borghei/Claude-Skills
GDPR Art. An agent skill from borghei/Claude-Skills.
Provides a structured risk scoring methodology for Data Protection Impact Assessments aligned with ENISA threat taxonomy and ISO 29134.
Install Dpia Risk Scoring
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill dpia-risk-scoring -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills dpia-risk-scoring --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/dpia-risk-scoring .claude/skills/dpia-risk-scoring && 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 "dpia-risk-scoring" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/dpia-risk-scoring into .claude/skills/dpia-risk-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dpia-risk-scoring", 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/dpia-risk-scoringType 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 dpia-risk-scoring -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills dpia-risk-scoring --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/dpia-risk-scoring .agents/skills/dpia-risk-scoring && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dpia-risk-scoring" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/dpia-risk-scoring into .agents/skills/dpia-risk-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dpia-risk-scoring", 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 dpia-risk-scoring -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills dpia-risk-scoring --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/dpia-risk-scoring .cursor/skills/dpia-risk-scoring && 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 "dpia-risk-scoring" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/dpia-risk-scoring into .cursor/skills/dpia-risk-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dpia-risk-scoring", 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/dpia-risk-scoring--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 dpia-risk-scoring -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Privacy-Data-Protection-Skills dpia-risk-scoring --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/dpia-risk-scoring .gemini/skills/dpia-risk-scoring && 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 "dpia-risk-scoring" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/dpia-risk-scoring into .gemini/skills/dpia-risk-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dpia-risk-scoring", 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 dpia-risk-scoringInstalls 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 dpia-risk-scoring -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/dpia-risk-scoring .github/skills/dpia-risk-scoring && 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 "dpia-risk-scoring" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/dpia-risk-scoring into .github/skills/dpia-risk-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dpia-risk-scoring", 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 dpia-risk-scoring -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 dpia-risk-scoring --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/dpia-risk-scoring .opencode/skills/dpia-risk-scoring && 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 "dpia-risk-scoring" agent skill from https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/skills/privacy/dpia-risk-scoring into .opencode/skills/dpia-risk-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dpia-risk-scoring", 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
dpia-risk-scoring- GitHub stars
- 301
- Token cost
- ~1k tokens
- SKILL.md length
- 356 words
- Files
- 5 (incl. scripts, references, assets)
- Skills in repo
- 280
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Provides a structured risk scoring methodology for Data Protection Impact Assessments aligned with ENISA threat taxonomy and ISO 29134.
- Works in 10 steps: Loss of confidentiality -- Unauthorised… → Loss of integrity -- Unauthorised… → Loss of availability -- Inability to… → …
- Tasks that involve Privacy and GDPR
- SKILL.md covers Overview, Risk Scoring Framework, Risk Categories (ENISA-Aligned) and Inherent vs Residual Risk, plus 1 more section
- Runs Python scripts from its folder
What it does
Dpia Risk Scoring is an agent skill from mukul975/Privacy-Data-Protection-Skills. Provides a structured risk scoring methodology for Data Protection Impact Assessments aligned with ENISA threat taxonomy and ISO 29134. Covers likelihood and severity assessment, risk matrix construction, inherent vs residual risk calculation, and risk appetite thresholds per EDPB WP248rev.01 guidance. Keywords: risk scoring, DPIA risk matrix, likelihood, severity, ENISA, ISO 29134, residual risk, risk appetite.
Its SKILL.md is about 1k 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 Legal risk assessment. 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 Legal risk assessment
Example prompts
- “Use the dpia-risk-scoring skill to provide a structured risk scoring methodology for Data Protection Impact Assessments aligned with ENISA threat…”
- “/dpia-risk-scoring”
Requirements
- Python 3
Workflow steps
10 steps, taken from the first numbered list in SKILL.md.
- Loss of confidentiality -- Unauthorised disclosure of personal data
- Loss of integrity -- Unauthorised modification of personal data
- Loss of availability -- Inability to access or use personal data
- Loss of purpose limitation -- Data used beyond original purpose
- Discrimination -- Unfair treatment based on processing outcomes
- Identity theft/fraud -- Misuse of personal data for impersonation
- Financial loss -- Direct or indirect monetary harm
- Reputational damage -- Social standing or professional harm
- Physical harm -- Safety or health impacts
- Loss of autonomy -- Chilling effects on behaviour or free expression
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 Risk Scoring loads about 1k tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 108 tokens; SKILL.md has 356 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). 356 words, ~1,013 tokens.
Download SKILL.mdSave it as
.claude/skills/dpia-risk-scoring/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- dpia-risk-scoring
- description
- Provides a structured risk scoring methodology for Data Protection Impact Assessments aligned with ENISA threat taxonomy and ISO 29134. Covers likelihood and severity assessment, risk matrix construction, inherent vs residual risk calculation, and risk appetite thresholds per EDPB WP248rev.01 guidance. Keywords: risk scoring, DPIA risk matrix, likelihood, severity, ENISA, ISO 29134, residual risk, risk appetite.
- license
- Apache-2.0
- metadata.author
- mukul975
- metadata.version
- 1.0
- metadata.domain
- privacy
- metadata.subdomain
- privacy-impact-assessment
- metadata.tags
- risk-scoring, dpia, risk-matrix, enisa, iso-29134, residual-risk
DPIA Risk Scoring Methodology
Overview
Art. 35(7)(c) GDPR requires a DPIA to include "an assessment of the risks to the rights and freedoms of data subjects." This skill provides a quantifiable risk scoring framework that converts qualitative privacy risks into comparable, prioritised scores supporting mitigation decisions.
Risk Scoring Framework
Severity Scale (Impact on Data Subject Rights)
| Level | Score | Description | Examples |
|---|---|---|---|
| Negligible | 1 | Minor inconvenience, easily recoverable | Temporary inability to access non-essential service |
| Limited | 2 | Significant inconvenience, recoverable with effort | Targeted advertising based on inferred preferences |
| Significant | 3 | Serious consequences, difficult to recover from | Financial loss, discrimination, reputational harm |
| Maximum | 4 | Irreversible or very difficult to recover from | Identity theft, physical safety risk, loss of employment |
Likelihood Scale
| Level | Score | Description | Indicators |
|---|---|---|---|
| Negligible | 1 | Unlikely given current controls | Strong technical controls, limited access, encrypted at rest and in transit |
| Limited | 2 | Possible but requires specific conditions | Some access controls, partial encryption, known but unproven attack vectors |
| Significant | 3 | Probable given known threat landscape | Weak controls in specific areas, prior incidents in sector, active threat actors |
| Maximum | 4 | Near-certain or already occurring | No controls, known vulnerabilities, prior breach of similar system |
Risk Matrix
Severity → Negligible(1) Limited(2) Significant(3) Maximum(4)
Likelihood ↓
Maximum(4) 4(M) 8(H) 12(VH) 16(VH)
Significant(3) 3(L) 6(M) 9(H) 12(VH)
Limited(2) 2(L) 4(M) 6(M) 8(H)
Negligible(1) 1(L) 2(L) 3(L) 4(M)
Risk Levels: L=Low(1-3), M=Medium(4-6), H=High(7-9), VH=Very High(10-16)Risk Categories (ENISA-Aligned)
Show full SKILL.md (162 more words)Show less
Rights and Freedoms Impacts
- Loss of confidentiality -- Unauthorised disclosure of personal data
- Loss of integrity -- Unauthorised modification of personal data
- Loss of availability -- Inability to access or use personal data
- Loss of purpose limitation -- Data used beyond original purpose
- Discrimination -- Unfair treatment based on processing outcomes
- Identity theft/fraud -- Misuse of personal data for impersonation
- Financial loss -- Direct or indirect monetary harm
- Reputational damage -- Social standing or professional harm
- Physical harm -- Safety or health impacts
- Loss of autonomy -- Chilling effects on behaviour or free expression
Inherent vs Residual Risk
- Inherent risk: Risk level before applying any mitigation measures
- Residual risk: Risk level after applying planned mitigation measures
- Risk reduction: Difference between inherent and residual risk scores
- Acceptable risk threshold: Organisation-defined tolerance level
Art. 36 Prior Consultation Trigger
When residual risk remains High or Very High after all feasible mitigation measures, the controller must consult the supervisory authority under Art. 36(1) before commencing processing.
© 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-risk-scoring 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 Risk Scoring 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 |
|---|---|---|---|---|---|---|
| Dpia Risk Scoring this skillmukul975/Privacy-Data-Protection-Skills | 301 | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Dpia Assessmentborghei/Claude-Skills | 891 | — | ~4.1k | Automated safety check: Pass | MIT | |
| Legal Compliancetravisjneuman/.claude | 100 | — | ~3.4k | Automated safety check: Pass | MIT | |
| C15tc15t/c15t | 1.9k | 1 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| HIPAA Safe Harbor Coverage Auditmaziyarpanahi/openmed | 5.5k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Korean Privacy Termskimlawtech/korean-privacy-terms | 587 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Dpia Risk Scoring
What does Dpia Risk Scoring do?
Provides a structured risk scoring methodology for Data Protection Impact Assessments aligned with ENISA threat taxonomy and ISO 29134. Dpia Risk Scoring is an agent skill from mukul975/Privacy-Data-Protection-Skills. Provides a structured risk scoring methodology for Data Protection Impact Assessments aligned with ENISA threat taxonomy and ISO 29134.
When should I use Dpia Risk Scoring?
Dpia Risk Scoring fits situations like: tasks that involve Privacy and GDPR; tasks that involve Legal risk assessment.
How do I install Dpia Risk Scoring in Claude Code?
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill dpia-risk-scoring -a claude-code`. Or copy the skill folder (skills/privacy/dpia-risk-scoring in mukul975/Privacy-Data-Protection-Skills) into .claude/skills/dpia-risk-scoring in your project. Claude Code loads it when a task matches its description.
How do I install Dpia Risk Scoring in Codex?
Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill dpia-risk-scoring -a codex`. Or copy the skill folder (skills/privacy/dpia-risk-scoring in mukul975/Privacy-Data-Protection-Skills) into .agents/skills/dpia-risk-scoring in your project. Codex loads it when a task matches its description.
Can I use Dpia Risk Scoring 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-risk-scoring -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-risk-scoring, .gemini/skills/dpia-risk-scoring, .github/skills/dpia-risk-scoring and .opencode/skills/dpia-risk-scoring in your project.
What does Dpia Risk Scoring need to run?
Going by SKILL.md and its folder, Dpia Risk Scoring needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Dpia Risk Scoring 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 Risk Scoring 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 Risk Scoring use?
Dpia Risk Scoring 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 Risk Scoring use?
About 1k tokens (SKILL.md is roughly 4.1k 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 Risk Scoring?
Skills that share tags, products or a category with Dpia Risk Scoring: Dpia Assessment (borghei/Claude-Skills, 891 stars), Legal Compliance (travisjneuman/.claude, 100 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 Dpia Risk Scoring?
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.