Agent skill

Pia Threshold Screening

by mukul975 in 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.

Apache-2.0Auto-check passedLegal & Compliance

Install Pia Threshold Screening

skills CLI
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill pia-threshold-screening -a claude-code

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

GitHub CLI
$ gh skill install mukul975/Privacy-Data-Protection-Skills pia-threshold-screening --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/pia-threshold-screening .claude/skills/pia-threshold-screening && 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
pia-threshold-screening
GitHub stars
297
Token cost
~880 tokens
SKILL.md length
330 words
Files
5 (incl. scripts, references, assets)
Skills in repo
280
Repo updated
First seen
Licence
Apache-2.0

At a glance

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

  • Works in 6 steps: Identify processing activity -- Describe… → Check mandatory triggers -- Evaluate… → Check national blacklist -- Consult the… → …
  • Tasks that involve Privacy and GDPR
  • SKILL.md covers Overview, Screening Criteria, Screening Process and Decision Logic, plus 1 more section
  • Runs Python scripts from its folder

What it does

Pia Threshold Screening is an agent skill from 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. Applies the EDPB WP248rev.01 nine-criteria test, national supervisory authority blacklists, and organisational risk appetite to produce a documented screening decision. Keywords: threshold screening, DPIA trigger, pre-DPIA, WP248, Article 35(1), blacklist, screening decision.

Its SKILL.md is about 880 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 pia-threshold-screening skill to conduct pre-DPIA threshold screening to determine whether a full Data Protection Impact Assessment is…”
  • “/pia-threshold-screening”

Requirements

  • Python 3

Workflow steps

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

  1. Identify processing activity -- Describe the proposed or changed processing
  2. Check mandatory triggers -- Evaluate against Art. 35(3)(a)-(c)
  3. Check national blacklist -- Consult the relevant SA published list
  4. Apply nine-criteria test -- Score each WP248 criterion as met/not met
  5. Document rationale -- Record the screening decision with justification
  6. Escalate or close -- Route to full DPIA or document exemption

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

Pia Threshold Screening loads about 880 tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 109 tokens; SKILL.md has 330 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~109
When it runs · the whole SKILL.md, loaded when a task matches
~880
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.6k

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). 330 words, ~880 tokens.

Download SKILL.mdSave it as .claude/skills/pia-threshold-screening/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
pia-threshold-screening
description
Conducts pre-DPIA threshold screening to determine whether a full Data Protection Impact Assessment is required under GDPR Article 35. Applies the EDPB WP248rev.01 nine-criteria test, national supervisory authority blacklists, and organisational risk appetite to produce a documented screening decision. Keywords: threshold screening, DPIA trigger, pre-DPIA, WP248, Article 35(1), blacklist, screening decision.
license
Apache-2.0
metadata.author
mukul975
metadata.version
1.0
metadata.domain
privacy
metadata.subdomain
privacy-impact-assessment
metadata.tags
threshold-screening, dpia-trigger, pre-dpia, wp248, article-35, blacklist

PIA Threshold Screening

Overview

Article 35(1) GDPR requires a DPIA when processing is "likely to result in a high risk to the rights and freedoms of natural persons." This skill provides a structured screening methodology to make that determination before committing to a full DPIA.

Screening Criteria

EDPB Nine-Criteria Test (WP248rev.01)

Processing that meets two or more of the following criteria generally requires a DPIA:

#CriterionGDPR Reference
1Evaluation or scoringArt. 35(3)(a)
2Automated decision-making with legal/similar effectArt. 35(3)(a)
3Systematic monitoringArt. 35(3)(c)
4Sensitive data or data of highly personal natureArt. 9, Art. 10
5Data processed on a large scaleRecital 91
6Matching or combining datasetsWP248
7Data concerning vulnerable data subjectsWP248
8Innovative use or applying new technological solutionsWP248
9Processing that prevents data subjects from exercising a rightArt. 22, Art. 35(3)(b)
Mandatory DPIA Triggers (Art. 35(3))

A DPIA is always required for:

  • (a) Systematic and extensive evaluation of personal aspects based on automated processing, including profiling, producing legal effects or similarly significant effects
  • (b) Large-scale processing of special categories of data (Art. 9(1)) or criminal conviction data (Art. 10)
  • (c) Systematic monitoring of a publicly accessible area on a large scale
National Supervisory Authority Blacklists (Art. 35(4))

Each EU/EEA supervisory authority publishes a list of processing operations requiring a DPIA. The screening must check the relevant national blacklist based on the controller establishment.

Screening Process

  1. Identify processing activity -- Describe the proposed or changed processing
  2. Check mandatory triggers -- Evaluate against Art. 35(3)(a)-(c)
  3. Check national blacklist -- Consult the relevant SA published list
  4. Apply nine-criteria test -- Score each WP248 criterion as met/not met
  5. Document rationale -- Record the screening decision with justification
  6. Escalate or close -- Route to full DPIA or document exemption

Decision Logic

IF any Art. 35(3) mandatory trigger is met → DPIA REQUIRED
ELSE IF processing appears on national SA blacklist → DPIA REQUIRED
ELSE IF 2+ WP248 criteria are met → DPIA REQUIRED
ELSE IF 1 WP248 criterion is met → DPIA RECOMMENDED (risk-based decision)
ELSE → DPIA NOT REQUIRED (document exemption)

Integration Points

  • RoPA linkage: Screening results attach to the corresponding RoPA entry
  • Change management: New processing or material changes trigger re-screening
  • DPIA register: Positive screening decisions feed the DPIA pipeline

© 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/pia-threshold-screening 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

Pia Threshold Screening 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.

Pia Threshold Screening compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Pia Threshold Screening this skillmukul975/Privacy-Data-Protection-Skills297—~880Automated 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 Pia Threshold Screening

What does Pia Threshold Screening do?

Conducts pre-DPIA threshold screening to determine whether a full Data Protection Impact Assessment is required under GDPR Article 35. Pia Threshold Screening is an agent skill from 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.

When should I use Pia Threshold Screening?

Pia Threshold Screening fits situations like: tasks that involve Privacy and GDPR.

How do I install Pia Threshold Screening in Claude Code?

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

How do I install Pia Threshold Screening in Codex?

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

Can I use Pia Threshold Screening 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 pia-threshold-screening -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pia-threshold-screening, .gemini/skills/pia-threshold-screening, .github/skills/pia-threshold-screening and .opencode/skills/pia-threshold-screening in your project.

What does Pia Threshold Screening need to run?

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

Does Pia Threshold Screening 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 Pia Threshold Screening 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 Pia Threshold Screening use?

Pia Threshold Screening 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 Pia Threshold Screening use?

About 880 tokens (SKILL.md is roughly 3.5k 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 Pia Threshold Screening?

Skills that share tags, products or a category with Pia Threshold Screening: 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 Pia Threshold Screening?

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.