Law Gdpr Pdpa

What it does

When your agent uses it

• The user needs to assess data privacy obligations
• Design compliant data handling processes
• Evaluate cross-border data transfer risks
• Understand data subject rights — even if they say do we comply with GDPR

Example prompts

• “do we comply with GDPR”
• “can we collect this data”
• “what are our privacy obligations”
• “/law-gdpr-pdpa”

Workflow steps

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

1. 1Data inventory: What personal data do you collect, process, and store?
2. 2Legal basis audit: What legal basis justifies each processing activity?
3. 3Purpose limitation: Is data used only for the stated purpose?
4. 4Data minimization: Are you collecting only what's necessary?
5. 5Storage limitation: How long is data retained? Is there a deletion policy?
6. 6Security measures: Are appropriate technical and organizational measures in place?
7. 7Rights fulfillment: Can you respond to data subject rights requests?
8. 8Cross-border transfers: Does data leave the jurisdiction? Under what mechanism?
9. 9Breach response: Is there a breach notification procedure?

What it can do on your machine

Read from SKILL.md and the folder at commit 4e7f4f8. 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

  No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

  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

Law Gdpr Pdpa loads about 1.4k tokens when it runs, and up to ~9.7k if it reads all its reference files. Until then it costs about 121 tokens; SKILL.md has 525 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~121

When it runs · the whole SKILL.md, loaded when a task matches

~1.4k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~9.7k

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

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 525 words, ~1,432 tokens.

name

law-gdpr-pdpa

description

Analyze data privacy compliance requirements under GDPR, Taiwan's Personal Data Protection Act (PDPA), and related regulations. Use this skill when the user needs to assess data privacy obligations, design compliant data handling processes, evaluate cross-border data transfer risks, or understand data subject rights — even if they say 'do we comply with GDPR', 'can we collect this data', 'what are our privacy obligations', or 'how do we handle user data in Taiwan'.

metadata.category

WP-20 法學院

metadata.tags

law, gdpr, pdpa, data-privacy

IRON LAW: No Collection Without Legal Basis

You CANNOT collect or process personal data just because you want to.
Every data processing activity requires a legal basis:
- GDPR: 6 legal bases (consent, contract, legal obligation, vital interests, public task, legitimate interests)
- Taiwan PDPA: Specific purposes listed in the act, with consent as primary basis

"We need this data for analytics" is NOT a legal basis.

# Privacy Compliance Assessment: {Organization}

## Data Inventory
| Data Category | Types | Legal Basis | Purpose | Retention |
|-------------|-------|-------------|---------|-----------|
| {category} | {specific fields} | {basis} | {why collected} | {period} |

## Compliance Gaps
| Requirement | Status | Gap | Priority |
|------------|--------|-----|----------|
| Legal basis | ✓/✗ | {detail} | H/M/L |
| Consent mechanism | ✓/✗ | ... | ... |
| Data subject rights | ✓/✗ | ... | ... |
| Breach notification | ✓/✗ | ... | ... |
| Cross-border transfer | ✓/✗ | ... | ... |

## Remediation Plan
1. {action} — priority: {H/M/L} — timeline: {X weeks}

© asgard-ai-platform, MIT. 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 3 other files (references) in law-gdpr-pdpa of asgard-ai-platform/skills.

• SKILL.md
• examples/sample_scenario.md
• references/gdpr-articles.md
• references/taiwan-pdpa.md

Open the folder on GitHubat commit 4e7f4f8