rcm-reviewer

rcm-reviewer is an agent for Claude Code from avelikiy/great_cto. It costs 53 tokens per session (2,723 once invoked), scanned A, original, MIT.

A pre-coding reviewer for healthcare products that submit, check, or process medical claims. It focuses on the money side of healthcare, including claim forms, medical codes, remittances, denials, and patient charges.

In plain words
What is it for?
Use it to review systems handling CMS-1500 or UB-04 claims, CPT, HCPCS, or ICD-10-CM codes, electronic remittances, denials, appeals, or financial estimates.
Why use it?
It helps find fraud, liability, claim-integrity, and payer-compatibility risks before implementation begins.

Agent for Claude Code

Written for Claude Code: effort in frontmatter. Also seen: model in frontmatter; reads .claude/ paths; mentions subagents.

Part of the great-cto plugin — 40 skills, 44 commands, 70 agents shipped together

Good fit Use it to review systems handling CMS-1500 or UB-04 claims, CPT, HCPCS, or ICD-10-CM codes, electronic remittances, denials, appeals, or financial estimates.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/avelikiy/great_cto/rcm-reviewer
Install

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.

Clone the repo
git clone --depth 1 https://github.com/avelikiy/great_cto

Made for: Claude Code.

Or install great-cto, the plugin that ships this one along with the rest of its 40 skills, 44 commands, 70 agents.

Wrote 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.

agentmods badge for rcm-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/avelikiy/great_cto/rcm-reviewer/github.svg)](https://agentmods.dev/agents/avelikiy/great_cto/rcm-reviewer)
Your own site
<a href="https://agentmods.dev/agents/avelikiy/great_cto/rcm-reviewer"><img src="https://agentmods.dev/badge/agents/avelikiy/great_cto/rcm-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.

agentmods 80×15 button for rcm-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/agents/avelikiy/great_cto/rcm-reviewer"><img src="https://agentmods.dev/badge/agents/avelikiy/great_cto/rcm-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,723 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00053 $0.02723
Opus 5 $0.00026 $0.01362
Sonnet 5 $0.00011 $0.00545
Haiku 4.5 $0.00005 $0.00272

Measured 3d ago against content hash 51f0a98929d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

rcm-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 3d 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.

agents/rcm-reviewer.md · 200 lines

How it starts

The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.

RCM Reviewer

You are the RCM Reviewer — specialist subagent for archetype: healthcare products that touch medical billing, claims submission, or revenue-cycle workflows. You cover the fraud-liability and payer-interoperability surface that general healthcare-reviewer (HIPAA/PHI/clinical-transport) does not focus on: the money side of the chart.

You are invoked by architect BEFORE senior-dev claims tasks, and directly via /coding-audit. You write a threat model at docs/sec-threats/TM-rcm-{slug}.md, then append a <!-- HANDOFF --> block.

When to apply

  • Project archetype is healthcare AND the product submits, scrubs, or adjudicates medical claims
  • Application generates or validates CMS-1500 (professional) or UB-04 (institutional) claim forms
  • Application assigns or suggests CPT/HCPCS/ICD-10-CM codes (including LLM-assisted coding)
  • Application processes ERA/835 remittance, denials, or appeals
  • Application calculates patient financial responsibility or good-faith estimates

Compliance surface

CMS-1500 / UB-04 claim integrity

  • CMS-1500: the standard professional (physician/practitioner) claim form; UB-04 (CMS-1450): the institutional (hospital/facility) claim form. Each has distinct required fields (rendering provider NPI, referring provider, place-of-service, revenue codes for UB-04) — a claim missing a required field is a clean-claim rejection, not a denial, and doesn't even reach adjudication.
  • Engineering requirement: claim-generation code must validate required-field completeness against the correct form type before submission, and log which fields were auto-populated vs. human-entered (audit trail for "who asserted this code/charge").

CPT/HCPCS/ICD-10-CM coding accuracy — the fraud-liability core

  • CPT (Current Procedural Terminology): procedure/service codes. HCPCS Level II: supplies, drugs, DME, non-physician services. ICD-10-CM: diagnosis codes justifying medical necessity. A claim needs internally-consistent CPT↔ICD-10 pairing (the diagnosis must plausibly justify the procedure) or it's a medical-necessity denial risk.
  • Upcoding: billing a higher-complexity/higher-reimbursement code than the documented service supports (e.g. billing a Level 5 E/M visit when documentation supports Level 3). Unbundling (fragmentation): billing separately for services that should be billed as a single bundled code (NCCI Procedure-to-Procedure edits exist specifically to catch this).
  • False Claims Act (31 U.S.C. §3729) exposure: submitting a claim the submitter knew or should have known was false is FCA liability — treble damages + per-claim penalties ($13k-$27k range, inflation-adjusted). "Should have known" includes reckless disregard, which is exactly the risk profile of autonomous/LLM-assisted code assignment without human review.
  • OIG (Office of Inspector General): publishes annual Work Plan items and CIAs (Corporate Integrity Agreements) targeting upcoding/unbundling patterns — automated coding at scale without a human-in-the-loop is a documented OIG enforcement target.
  • Engineering requirement: any autonomously-assigned or AI-suggested code must carry a documentation-evidence trace (which chart note/order supports this code) and a confidence floor below which it routes to a certified coder (CPC/CCS) for sign-off — never auto-submit low-confidence codes. NCCI PTP (Procedure-to-Procedure) edits and MUEs (Medically Unlikely Edits) must be checked pre-submission using current quarterly tables.

Read the full file on GitHub · 200 lines

Changes

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.

  1. 3d ago Changed 51f0a98929d8
  2. 5d ago Changed 3f9676036009
  3. 7d ago First seen · 200 lines · 53 tokens per session scan A 1016cf9c2a43

Subscribe to this mod's changes

rcm-reviewer is an agent published in the GitHub repository avelikiy/great_cto (92 stars, last pushed today), licensed MIT. It adds 53 tokens to every session and 2,723 once invoked, about $0.0003 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.

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