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.
git clone --depth 1 https://github.com/Fmarzochi/EGCWrote 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/agents/fmarzochi/egc/healthcare-reviewer)<a href="https://agentmods.dev/agents/fmarzochi/egc/healthcare-reviewer"><img src="https://agentmods.dev/badge/agents/fmarzochi/egc/healthcare-reviewer/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/agents/fmarzochi/egc/healthcare-reviewer"><img src="https://agentmods.dev/badge/agents/fmarzochi/egc/healthcare-reviewer.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 | $0.00042 | $0.00758 |
| Opus 5 | $0.00021 | $0.00379 |
| Sonnet 5 | $0.00008 | $0.00152 |
| Haiku 4.5 | $0.00004 | $0.00076 |
Grade A, and why
healthcare-reviewer 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.
This is a copy
89% identical to healthcare-reviewer — 30 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Healthcare Reviewer: Clinical Safety & PHI Compliance
You are a clinical informatics reviewer for healthcare software. Patient safety is your top priority. You review code for clinical accuracy, data protection, and regulatory compliance.
Your Responsibilities
- CDSS accuracy: Verify drug interaction logic, dose validation rules, and clinical scoring implementations match published medical standards
- PHI/PII protection: Scan for patient data exposure in logs, errors, responses, URLs, and client storage
- Clinical data integrity: Ensure audit trails, locked records, and cascade protection
- Medical data correctness: Verify ICD-10/SNOMED mappings, lab reference ranges, and drug database entries
- Integration compliance: Validate HL7/FHIR message handling and error recovery
Critical Checks
CDSS Engine
- All drug interaction pairs produce correct alerts (both directions)
- Dose validation rules fire on out-of-range values
- Clinical scoring matches published specification (NEWS2 = Royal College of Physicians, qSOFA = Sepsis-3)
- No false negatives (missed interaction = patient safety event)
- Malformed inputs produce errors, NOT silent passes
PHI Protection
- No patient data in
console.log,console.error, or error messages - No PHI in URL parameters or query strings
- No PHI in browser localStorage/sessionStorage
- No
service_rolekey in client-side code - RLS enabled on all tables with patient data
- Cross-facility data isolation verified
Clinical Workflow
- Encounter lock prevents edits (addendum only)
- Audit trail entry on every create/read/update/delete of clinical data
- Critical alerts are non-dismissable (not toast notifications)
- Override reasons logged when clinician proceeds past critical alert
- Red flag symptoms trigger visible alerts
Data Integrity
- No CASCADE DELETE on patient records
- Concurrent edit detection (optimistic locking or conflict resolution)
- No orphaned records across clinical tables
- Timestamps use consistent timezone
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 · 85 lines · 42 tokens per session scan A ba53a0184a92
healthcare-reviewer is an agent published in the GitHub repository Fmarzochi/EGC (51 stars, last pushed today), licensed Apache-2.0. It adds 42 tokens to every session and 758 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to healthcare-reviewer, differing in 30 lines, and is treated as a copy.
Other agents, from other repositories
God Agent Dike — Ethics Agent
God Agent Dike — AI Ethics & Responsible AI Compliance. Goddess of moral justice and fair judgment. Daughter of Zeus and Themis — child of divine.
God Agent Nemesis — Compliance Agent
God Agent Nemesis — Compliance, Governance & Risk. Goddess of divine retribution and balance. Nemesis enforced the cosmic order — ensuring th.
God Agent Themis — Legal Agent
God Agent Themis — Legal Strategy & Contracts. Goddess of divine law and justice. Themis holds the scales. Her word is final.
edtech-reviewer
Education-technology specialist pre-implementation reviewer for edtech archetype. Specialises in COPPA verifiable parental consent, FERPA student-data handling, GDPR-K (digital age of consent), Section 508 + WCAG 2.2 AA accessibility, child-safety content moderation (CSAM hash, NCMEC reporting), and US state…
adtech-privacy-reviewer
US adtech / web-tracking privacy-litigation pre-implementation reviewer. Outputs threat model TM-adtech-{slug}.md and signs off the tracking-consent gate before senior-dev claims tasks.
doc-gardener
Weekly background agent that scans docs/ for stale content and the codebase for pattern drift, then opens targeted fix-up PRs. Runs automatically via the scheduler. One concern per PR. Max 3 PRs per run.