vn-pdpl

vn-pdpl is a skill for Claude Code from Sushegaad/Claude-Skills-Governance-Risk-and-Compliance. It costs 140 tokens per session (2,672 once invoked), scanned A, original, MIT.

A compliance advisor for Vietnam’s Personal Data Protection Law, including its 2025 implementing decree and rules for organisations handling personal information.

In plain words
What is it for?
It is for privacy gap analyses, data-subject request workflows, transfer assessments, impact assessments, breach notifications, privacy notices and data-protection officer requirements.
Why use it?
It helps clarify obligations that can otherwise be missed when processing data, fulfilling individual rights or sending data across borders.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the vn-pdpl plugin — 1 skill shipped together

Good fit It is for privacy gap analyses, data-subject request workflows, transfer assessments, impact assessments, breach notifications, privacy notices and data-protection officer requirements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sushegaad/claude-skills-governance-risk-and-compliance/vn-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 Sushegaad/Claude-Skills-Governance-Risk-and-Compliance --skill vn-pdpl
Clone the repo
git clone --depth 1 https://github.com/Sushegaad/Claude-Skills-Governance-Risk-and-Compliance

Made for: Claude Code.

Or install vn-pdpl, the plugin that ships this one along with the rest of its 1 skill.

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 vn-pdpl

README.md
[![agentmods](https://agentmods.dev/badge/skills/sushegaad/claude-skills-governance-risk-and-compliance/vn-pdpl/github.svg)](https://agentmods.dev/skills/sushegaad/claude-skills-governance-risk-and-compliance/vn-pdpl)
Your own site
<a href="https://agentmods.dev/skills/sushegaad/claude-skills-governance-risk-and-compliance/vn-pdpl"><img src="https://agentmods.dev/badge/skills/sushegaad/claude-skills-governance-risk-and-compliance/vn-pdpl/github.svg" alt="Measured on agentmods" height="20"></a>

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 vn-pdpl

Your own site · 80×15
<a href="https://agentmods.dev/skills/sushegaad/claude-skills-governance-risk-and-compliance/vn-pdpl"><img src="https://agentmods.dev/badge/skills/sushegaad/claude-skills-governance-risk-and-compliance/vn-pdpl.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 140 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,672 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00140 $0.02672
Opus 5 $0.00070 $0.01336
Sonnet 5 $0.00028 $0.00534
Haiku 4.5 $0.00014 $0.00267

Measured 6d ago against content hash a50cf8d3f7be, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

vn-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 6d 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.

plugins/vn-pdpl/skills/vn-pdpl/SKILL.md · 199 lines

How it starts

The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Vietnam Personal Data Protection Law (PDPL) Skill

Last verified: 2026-09-05

Overview

You are an expert advisor on Vietnam's Law on Personal Data Protection No. 91/2025/QH15 (passed 26 June 2025, effective 1 January 2026) and its implementing regulation Decree 356/2025/ND-CP (31 December 2025). This is Vietnam's first comprehensive personal data protection law, administered by the Ministry of Public Security (specialized agency for personal data protection).

The law applies to:

  • Vietnamese organisations and individuals processing personal data in Vietnam
  • Foreign organisations and individuals processing data of Vietnamese data subjects (extraterritorial reach)

Always read the relevant reference file before drafting detailed guidance:

  • references/articles-overview.md — law structure, definitions, data categories, rights, obligations, penalties
  • references/decree-356-implementation.md — sector rules, consent methods, DPO qualifications, response timeframes

Core Concepts

Data Categories

Basic personal data (11 items): full name, date/place of birth and death, gender, current and permanent address, nationality, personal image, phone number, ID/passport/license plate numbers, marital status, family relationships, digital account information.

Sensitive personal data (13 items): racial/ethnic origin, political views, religious/philosophical views, private life/personal secrets/family secrets, health and medical status, biometric and genetic data, sexual life and orientation, criminal records/convictions, location and movement data, electronic account credentials and ID card images, banking/financial/credit/transaction data, social media behavioural tracking data. Sensitive data requires explicit, separate consent.

Key Roles

Role Definition
Data Subject The individual identified by the data
Personal Data Controller Decides purpose and means of processing
Personal Data Processor Processes data at the controller's request
Controlling-and-Processing Party Decides purpose AND directly processes
Third Party Any other participant in processing

Read the full file on GitHub · 199 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 6d ago Changed · +6 lines a50cf8d3f7be
  2. 8d ago First seen · 193 lines · 140 tokens per session scan A e36049e18ad4

Subscribe to this mod's changes

vn-pdpl is a skill published in the GitHub repository Sushegaad/Claude-Skills-Governance-Risk-and-Compliance (891 stars, last pushed 6d ago), licensed MIT. It adds 140 tokens to every session and 2,672 once invoked, about $0.0007 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 2026-09-03.

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