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 aks129/HealthClawGuardrails --skill curatrgit clone --depth 1 https://github.com/aks129/HealthClawGuardrailsWrote 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/aks129/healthclawguardrails/curatr)<a href="https://agentmods.dev/skills/aks129/healthclawguardrails/curatr"><img src="https://agentmods.dev/badge/skills/aks129/healthclawguardrails/curatr/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/aks129/healthclawguardrails/curatr"><img src="https://agentmods.dev/badge/skills/aks129/healthclawguardrails/curatr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Memory Poisoning · line 186 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
- medium Excessive Agency · line 172 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00148 | $0.01929 |
| Opus 5 | $0.00074 | $0.00964 |
| Sonnet 5 | $0.00030 | $0.00386 |
| Haiku 4.5 | $0.00015 | $0.00193 |
Grade A, and why
curatr 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 12d 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 — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HealthClaw Curatr
A patient-facing data quality skill that evaluates FHIR health records for coding issues, presents them in plain language, and lets the patient decide how to fix them.
Your health data belongs to you. Curatr helps you understand what's in it, spot problems, and take action — whether that's correcting your personal record or requesting your provider fix the source.
Supported FHIR R4 US Core v9 Resource Types
| Resource | Checks |
|---|---|
| Condition | ICD-9 detection, ICD-10-CM/SNOMED validity, clinicalStatus, verificationStatus |
| AllergyIntolerance | clinicalStatus, patient link, allergen code (RxNorm/SNOMED) |
| MedicationRequest | status, intent, medication code (RxNorm) |
| Immunization | status, vaccineCode (CVX/SNOMED), occurrenceDateTime |
| Procedure | status, procedure code (SNOMED/CPT) |
| DiagnosticReport | status, report code (LOINC) |
For all other resource types, Curatr runs a generic coding scan checking all coding[]
elements for deprecated systems.
What Curatr Checks
Code System Quality
- Deprecated systems: ICD-9-CM codes (retired October 2015) flagged as critical
- Code validity: Live lookups against public terminology services — no account needed
- Display name accuracy: Checks whether the written description matches the official term
Structural Completeness
- Missing required fields (varies by resource type — see table above)
- Invalid status values (e.g. unrecognized clinicalStatus codes)
- Missing standard medical codes
Terminology Services Used (all public, no auth required)
| Service | Systems Validated |
|---|---|
| tx.fhir.org — HL7 public FHIR terminology server | SNOMED CT, LOINC |
| NLM Clinical Tables API | ICD-10-CM |
| RXNAV API | RxNorm |
MCP Tools
curatr.evaluate (read-only)
Evaluate a FHIR resource for data quality issues.
Input:
{
"resource_type": "Condition",
"resource_id": "cond-001"
}
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.
- 12d ago First seen · 219 lines · 148 tokens per session scan A 9ba06fc1f676
curatr is a skill published in the GitHub repository aks129/HealthClawGuardrails (30 stars, last pushed today), licensed MIT. It adds 148 tokens to every session and 1,929 once invoked, about $0.0007 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 2026-08-30.
Other skills, from other repositories
healthcare-fhir
Design RESTful clinical data exchanges using HL7 FHIR standards.
lab-report-walkthrough
Walk a person through their lab report — read the original document, organize results by panel, flag out-of-range values against the printed reference ranges, compare with their history, and explain in plain language. Use when the user uploads a lab report (PDF/image) or asks what their blood test results mean.
healthcare-expert
Expert-level healthcare systems, medical informatics, HIPAA compliance, and health data standards. Use when the user mentions medical, HIPAA, HL7, FHIR, or EHR, or when the task involves Healthcare IT, Standards and Protocols, Regulatory Compliance, or Security and Compliance.
hl7gen
Use when generating, validating, or converting HL7 v2 healthcare messages, or converting HL7 v2 to FHIR. Covers synthetic test-message generation for any of 185 HL7 v2 message types across versions 2.1–2.8.2, message validation, FHIR R5/R4B conversion, and structure exploration (required/optional/repeating fields).…
foundry-config-setup
Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.
deploy-docker-compose
Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack…