claims-analytics

claims-analytics is a skill for Claude Code, Codex from awslabs/hcls-agent-skills. It costs 169 tokens per session (3,883 once invoked), scanned A, original, MIT-0.

A workflow for reading healthcare insurance claim files and analysing their coded services, diagnoses, and payments. It works with X12 837 files for claims and X12 835 files for payment or remittance details.

In plain words
What is it for?
Use it to parse claims, work with ICD-10, CPT, and HCPCS codes, detect unusual billing, compare providers with similar specialties, and check NCCI billing edits.
Why use it?
It reduces the manual work of turning claim files into usable data and finding billing patterns that may need review.

Skill for Claude CodeCodex ✓ vendor

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to parse claims, work with ICD-10, CPT, and HCPCS codes, detect unusual billing, compare providers with similar specialties, and check NCCI billing edits.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/awslabs/hcls-agent-skills/claims-analytics
About the project

awslabs/hcls-agent-skills is a collection of reusable instructions that help AI agents handle healthcare and life sciences work, including genomics, medical imaging, claims, and drug discovery. It is intended for agents running on Agent Skills-compatible platforms, and the catalogue entries are its individual domain skills.

awslabs/hcls-agent-skills · 32 stars · on GitHub

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.

Any agent
npx skills add awslabs/hcls-agent-skills --skill claims-analytics
Clone the repo
git clone --depth 1 https://github.com/awslabs/hcls-agent-skills

Made for: Claude Code, Codex.

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 claims-analytics

README.md
[![agentmods](https://agentmods.dev/badge/skills/awslabs/hcls-agent-skills/claims-analytics/github.svg)](https://agentmods.dev/skills/awslabs/hcls-agent-skills/claims-analytics)
Your own site
<a href="https://agentmods.dev/skills/awslabs/hcls-agent-skills/claims-analytics"><img src="https://agentmods.dev/badge/skills/awslabs/hcls-agent-skills/claims-analytics/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 claims-analytics

Your own site · 80×15
<a href="https://agentmods.dev/skills/awslabs/hcls-agent-skills/claims-analytics"><img src="https://agentmods.dev/badge/skills/awslabs/hcls-agent-skills/claims-analytics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 169 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,883 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 unknown 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 $0.00169 $0.03883
Opus 5 $0.00084 $0.01942
Sonnet 5 $0.00034 $0.00777
Haiku 4.5 $0.00017 $0.00388

Measured 11d ago against content hash 37009fbdbe21, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

claims-analytics 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 11d 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.

skills/claims-analytics/SKILL.md · 356 lines

The source is not reproduced here

Licensed MIT-0

The repository is licensed MIT-0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 11d ago First seen · 356 lines · 169 tokens per session scan A 37009fbdbe21

Subscribe to this mod's changes

claims-analytics is a skill published in the GitHub repository awslabs/hcls-agent-skills (32 stars, last pushed 10d ago), licensed MIT-0. It adds 169 tokens to every session and 3,883 once invoked, about $0.0008 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.

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