Medical Bill Audit Helper

PassAudited by VirusTotal on May 9, 2026.

Overview

Type: OpenClaw Skill Name: medical-bill-audit-helper Version: 1.0.0 The Medical Bill Audit Helper is a prompt-based workflow designed to help users organize and reconcile medical billing documents. It contains no executable code, requires no network access, and includes robust safety disclaimers and PII redaction instructions in SKILL.md and skill.json. The logic is entirely focused on document summarization and call script generation, with no evidence of malicious intent, data exfiltration, or prompt injection.

Findings (0)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

If a user pastes unredacted bills or EOBs, the chat may contain sensitive medical and insurance details.

Why it was flagged

The normal workflow places medical bill and EOB details into the assistant context and generated summaries. This is purpose-aligned, but it can include sensitive health, insurance, and financial information.

Skill content
Ask the user to provide (after redacting sensitive PII) ... Date of service ... Provider name ... Each line item ... Insurance EOB Information
Recommendation

Use the skill only with redacted documents. Remove full SSNs, member IDs, dates of birth, addresses, MRNs, and diagnosis details unless truly necessary.

What this means

A user might share more sensitive information than intended if they interpret the statement as a complete platform privacy guarantee.

Why it was flagged

The no-code/no-network artifacts support that the skill itself has no extra data transfer mechanism, but users could over-read this as a guarantee about the broader AI platform’s data handling.

Skill content
This skill does not store, transmit, or share your data
Recommendation

Treat the privacy statement narrowly, verify the assistant platform’s retention policy, and continue redacting sensitive identifiers before use.