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 Jamkris/everything-gemini-code --skill healthcare-phi-compliancegit clone --depth 1 https://github.com/Jamkris/everything-gemini-codeWrote 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/jamkris/everything-gemini-code/healthcare-phi-compliance)<a href="https://agentmods.dev/skills/jamkris/everything-gemini-code/healthcare-phi-compliance"><img src="https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/healthcare-phi-compliance/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/jamkris/everything-gemini-code/healthcare-phi-compliance"><img src="https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/healthcare-phi-compliance.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 | $0.00046 | $0.01224 |
| Opus 5 | $0.00023 | $0.00612 |
| Sonnet 5 | $0.00009 | $0.00245 |
| Haiku 4.5 | $0.00005 | $0.00122 |
Grade A, and why
healthcare-phi-compliance 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.
This is a copy
91% identical to healthcare-phi-compliance — 28 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Healthcare PHI/PII Compliance Patterns
Patterns for protecting patient data, clinician data, and financial data in healthcare applications. Applicable to HIPAA (US), DISHA (India), GDPR (EU), and general healthcare data protection.
When to Use
- Building any feature that touches patient records
- Implementing access control or authentication for clinical systems
- Designing database schemas for healthcare data
- Building APIs that return patient or clinician data
- Implementing audit trails or logging
- Reviewing code for data exposure vulnerabilities
- Setting up Row-Level Security (RLS) for multi-tenant healthcare systems
How It Works
Healthcare data protection operates on three layers: classification (what is sensitive), access control (who can see it), and audit (who did see it).
Data Classification
PHI (Protected Health Information) — any data that can identify a patient AND relates to their health: patient name, date of birth, address, phone, email, national ID numbers (SSN, Aadhaar, NHS number), medical record numbers, diagnoses, medications, lab results, imaging, insurance policy and claim details, appointment and admission records, or any combination of the above.
PII (Non-patient-sensitive data) in healthcare systems: clinician/staff personal details, doctor fee structures and payout amounts, employee salary and bank details, vendor payment information.
Access Control: Row-Level Security
ALTER TABLE patients ENABLE ROW LEVEL SECURITY;
-- Scope access by facility
CREATE POLICY "staff_read_own_facility"
ON patients FOR SELECT TO authenticated
USING (facility_id IN (
SELECT facility_id FROM staff_assignments
WHERE user_id = auth.uid() AND role IN ('doctor','nurse','lab_tech','admin')
));
-- Audit log: insert-only (tamper-proof)
CREATE POLICY "audit_insert_only" ON audit_log FOR INSERT
TO authenticated WITH CHECK (user_id = auth.uid());
CREATE POLICY "audit_no_modify" ON audit_log FOR UPDATE USING (false);
CREATE POLICY "audit_no_delete" ON audit_log FOR DELETE USING (false);
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.
- 6d ago First seen · 146 lines · 46 tokens per session scan A 1d053ab76cca
healthcare-phi-compliance is a skill published in the GitHub repository Jamkris/everything-gemini-code (88 stars, last pushed 3mo ago), licensed MIT. It adds 46 tokens to every session and 1,224 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to healthcare-phi-compliance, differing in 28 lines, and is treated as a copy.
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