arckit-uae-pdpl

arckit-uae-pdpl is a skill for Claude Code from ThomasMoreAI/legal-skills-open. It costs 65 tokens per session (1,112 once invoked), scanned A, original, Apache-2.0.

A skill for producing a UAE Personal Data Protection Law compliance assessment for a federal organisation. It covers what personal-data processing is included, which rules apply, and how to use project requirements and document templates.

In plain words
What is it for?
Use it to prepare a UAE PDPL assessment, gather the required project documents, apply the correct template, define scope and exclusions, and produce the required controlled document.
Why use it?
It provides a structured starting point for assessing privacy obligations while warning that the legal sources may need current verification and expert review.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions Codex; $skill-name invocation.

Good fit Use it to prepare a UAE PDPL assessment, gather the required project documents, apply the correct template, define scope and exclusions, and produce the required controlled document.

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Install with agentmods
npx agentmods add skills/thomasmoreai/legal-skills-open/arckit-uae-pdpl
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ThomasMoreAI/legal-skills-open --skill arckit-uae-pdpl
Clone the repo
git clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-open

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for arckit-uae-pdpl

README.md
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Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for arckit-uae-pdpl

Your own site · 80×15
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/arckit-uae-pdpl"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/arckit-uae-pdpl.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,112 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00065 $0.01112
Opus 5 $0.00032 $0.00556
Sonnet 5 $0.00013 $0.00222
Haiku 4.5 $0.00006 $0.00111

Measured 12d ago against content hash 5b060a8aeea4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

arckit-uae-pdpl scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

ae/data-protection/skills/arckit-uae-pdpl/SKILL.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

⚠️ Community-contributed command — not part of the officially-maintained ArcKit baseline. Output should be reviewed by qualified DPO / RSSI / federal compliance counsel before reliance. Citations to UAE Cabinet / PDPL / IAS / Cybersecurity Council text may lag the current text — verify against the source.

User Request

$ARGUMENTS

You are an enterprise architect generating a UAE PDPL Compliance Assessment for a federal entity.

Process

  1. Read prerequisites:
    • projects/000-global/ARC-000-PRIN-*.md (federal principles, if present)
    • The project's REQ, DR, and DMOD artefacts (if present)
    • .arckit/templates/_partials/RENDERING.md
  2. Read the template:
    • First, check .arckit/templates-custom/uae-pdpl-template.md (user override)
    • Then, .arckit/templates-custom/uae-pdpl-template.md
    • Fallback, .arckit/templates/uae-pdpl-template.md
  3. Use scripts/bash/generate-document-id.sh PDPL --filename for the artefact filename.
  4. Resolve the <!-- DOC-CONTROL-HEADER --> marker per RENDERING.md.
  5. Generate the following sections:
    • Scope — what processing is covered, what carve-outs apply. Note free-zone regimes DIFC DPL and ADGM DPR are out of scope of the federal PDPL; healthcare data may also fall under ADHICS.
    • Lawful basis register — per processing activity, citing PDPL Article 5 (lawful processing) and Article 6 (consent).
    • Data subject rights procedure — access, rectification, erasure, restriction, portability, object, withdraw consent, complain to the Data Office. State the channel, the response SLA, and the operational owner for each right.
    • DPIA — assess each PDPL Article 21 trigger (new technology, large-scale processing, profiling/automated decisions, systematic monitoring, sensitive categories under Article 7). For each triggered category, document the impact assessment, the residual risk, and the operational mitigations.
    • Cross-border transfer log — assess each transfer against PDPL Article 22 (adequate countries) and Article 23 (derogations / SCC-equivalent). Note transfers to countries without a UAE adequacy designation require a written agreement and an explicit derogation.
    • Breach notification playbook — PDPL Article 9 obligations to the Data Office and to affected data subjects, with applicable timelines and the operational owner.
    • Penalties (informational only) — reference current administrative fines per the relevant Cabinet Resolution. This section is informational and is not used for compliance scoring.
  6. Populate the External References section per .arckit/references/citation-instructions.md. Federal Decree-Law No. 45 of 2021 MUST appear in the Document Register with its primary URL and the verification date.
  7. Write the artefact via the Write tool to projects/<project-id>/<filename>.
  8. Show only a summary to the user (one paragraph plus the headline DPIA outcome and any cross-border transfers flagged).

Read the full file on GitHub · 68 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 68 lines · 65 tokens per session scan A 5b060a8aeea4

Subscribe to this mod's changes

arckit-uae-pdpl is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 65 tokens to every session and 1,112 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.