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 pia-health-datagit 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/pia-health-data)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/pia-health-data"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/pia-health-data/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/pia-health-data"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/pia-health-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00086 | $0.01909 |
| Opus 5 | $0.00043 | $0.00955 |
| Sonnet 5 | $0.00017 | $0.00382 |
| Haiku 4.5 | $0.00009 | $0.00191 |
Grade A, and why
pia-health-data 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 9d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Privacy Impact Assessment for Health Data
Overview
Health data processing triggers mandatory DPIA requirements under GDPR Article 35(3)(b) (processing on a large scale of special categories of data referred to in Article 9(1)). The EDPB in WP248rev.01 identifies health data processing as meeting multiple DPIA-triggering criteria: special category data (C5), vulnerable data subjects (C7), and often innovative use or applying new technological or organisational solutions (C8). This skill provides a structured PIA methodology specific to health data processing across clinical, research, wearable, and digital health contexts.
Regulatory Framework
GDPR Article 9 — Special Category Data
Health data falls within the special categories of personal data under Article 9(1). Processing is prohibited unless one of the Article 9(2) exceptions applies:
| Exception | Application to Health Data |
|---|---|
| Art. 9(2)(a) Explicit consent | Patient consent for clinical care beyond treatment necessity; health app consent |
| Art. 9(2)(b) Employment obligations | Occupational health assessments, fitness-to-work evaluations |
| Art. 9(2)(c) Vital interests | Emergency medical treatment when data subject cannot consent |
| Art. 9(2)(h) Health care provision | Medical diagnosis, treatment, health system management by health professionals under secrecy obligations |
| Art. 9(2)(i) Public health | Epidemiological surveillance, disease registries, pharmacovigilance |
| Art. 9(2)(j) Scientific research | Clinical trials, health research with appropriate safeguards under Art. 89(1) |
HIPAA Privacy Rule (US)
The HIPAA Privacy Rule (45 CFR Part 160, 164) governs the use and disclosure of Protected Health Information (PHI) by covered entities (health plans, health care clearinghouses, health care providers) and business associates. Key privacy requirements include:
- Minimum necessary standard for PHI use and disclosure
- Individual access rights to PHI within 30 days
- Accounting of disclosures of PHI
- De-identification standards: Expert Determination (45 CFR 164.514(b)(1)) and Safe Harbor (45 CFR 164.514(b)(2))
- Business Associate Agreements (BAAs) for third-party processors
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.
- 9d ago First seen · 128 lines · 86 tokens per session scan A ccbbe91642c3
pia-health-data is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 86 tokens to every session and 1,909 once invoked, about $0.0004 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.
Other skills, from other repositories
pia-generator
Generate structured privacy impact assessments so Claude can organize project privacy risks, controls, and decision points into a review-ready report.
audit-scope-checklist
Generate a scoped IT audit program with controls mapped to roles and compliance frameworks. Use this skill for audit planning, control checklist generation, and auditprogram.json creation.
compliance-checker
Compare system configuration evidence against common control frameworks and produce a concise compliance assessment with gaps and remediation priorities.
compliance-controls-playbook
Guide Claude through a structured compliance audit workflow covering framework selection, evidence planning, control testing, exception handling, and reporting.
evidence-tracker
Manage audit evidence requests, collection progress, and status reporting so Claude can keep audits organized and identify overdue or blocked evidence items.
consent-checker
Review privacy policy or notice text against common privacy frameworks so Claude can explain coverage gaps, strengths, and compliance priorities.