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.
npx skills add ThomasMoreAI/legal-skills-open --skill implementing-gdpr-data-subject-access-requestgit clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-openWrote 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.
[](https://agentmods.dev/skills/thomasmoreai/legal-skills-open/implementing-gdpr-data-subject-access-request)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/implementing-gdpr-data-subject-access-request"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/implementing-gdpr-data-subject-access-request/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.
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/implementing-gdpr-data-subject-access-request"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/implementing-gdpr-data-subject-access-request.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00090 | $0.02355 |
| Opus 5 | $0.00045 | $0.01177 |
| Sonnet 5 | $0.00018 | $0.00471 |
| Haiku 4.5 | $0.00009 | $0.00235 |
Grade A, and why
implementing-gdpr-data-subject-access-request 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implementing GDPR Data Subject Access Request (DSAR) Workflow
When to Use
- When building automated DSAR processing pipelines for GDPR/UK GDPR compliance
- When implementing PII discovery across structured and unstructured data sources
- When creating response templates that satisfy Article 15 disclosure requirements
- When auditing existing DSAR handling for regulatory compliance gaps
- When scaling DSAR processing from manual to automated workflows
Prerequisites
- Python 3.8+ with required dependencies (spacy, presidio-analyzer, jinja2)
- Access to data sources where personal data resides (databases, file shares, logs)
- Understanding of GDPR Article 15 requirements and ICO/EDPB guidance
- Appropriate authorization and data protection officer (DPO) approval
- Test environment with synthetic or anonymized data for validation
Background
GDPR Article 15 - Right of Access
Under GDPR Article 15, data subjects have the right to obtain from the controller:
- Confirmation that their personal data is being processed
- A copy of all personal data held about them
- Supplementary information including:
- Purposes of processing
- Categories of personal data
- Recipients or categories of recipients
- Retention periods or criteria to determine them
- Right to rectification, erasure, restriction, or objection
- Right to lodge a complaint with a supervisory authority
- Source of the data (if not collected directly from the subject)
- Existence of automated decision-making, including profiling
Timeline Requirements
- Standard deadline: 1 calendar month from receipt of valid request
- Complex extension: Up to 2 additional months (must notify within first month)
- Clock pause: Permitted when identity verification or clarification is needed
- Format: Electronic form if request made electronically (unless otherwise requested)
- Cost: Free of charge (unless manifestly unfounded/excessive)
ICO/EDPB Guidance Key Points
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.
- 7d ago First seen · 286 lines · 90 tokens per session scan A 14b18dcd8b82
implementing-gdpr-data-subject-access-request is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 90 tokens to every session and 2,355 once invoked, about $0.0005 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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