prior-auth-research

prior-auth-research is a skill for Claude Code from tylergibbs1/backwork-mcp. It costs 38 tokens per session (1,417 once invoked), scanned A, original, MIT.

A research workflow for checking whether a health insurer requires prior authorization for medical billing codes. It produces a cited checklist of the policy's documentation requirements.

In plain words
What is it for?
Use it with a payer and CPT or HCPCS codes to review authorization rules, documentation criteria, citations, and checklist gaps. CPT and HCPCS are code systems used to describe medical services and supplies.
Why use it?
It reduces the need to search payer policies manually and helps reveal missing information before a submission.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the backwork plugin — 4 skills, 2 commands, 1 MCP server shipped together

Good fit Use it with a payer and CPT or HCPCS codes to review authorization rules, documentation criteria, citations, and checklist gaps. CPT and HCPCS are code systems used to describe medical services and supplies.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tylergibbs1/backwork-mcp/prior-auth-research
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 tylergibbs1/backwork-mcp --skill prior-auth-research
Clone the repo
git clone --depth 1 https://github.com/tylergibbs1/backwork-mcp

Made for: Claude Code.

Or install backwork, the plugin that ships this one along with the rest of its 4 skills, 2 commands, 1 MCP server.

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 prior-auth-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/tylergibbs1/backwork-mcp/prior-auth-research/github.svg)](https://agentmods.dev/skills/tylergibbs1/backwork-mcp/prior-auth-research)
Your own site
<a href="https://agentmods.dev/skills/tylergibbs1/backwork-mcp/prior-auth-research"><img src="https://agentmods.dev/badge/skills/tylergibbs1/backwork-mcp/prior-auth-research/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 prior-auth-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/tylergibbs1/backwork-mcp/prior-auth-research"><img src="https://agentmods.dev/badge/skills/tylergibbs1/backwork-mcp/prior-auth-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,417 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 $0.00038 $0.01417
Opus 5.5 $0.00015 $0.00567
Sonnet 5.5 $0.00008 $0.00283
Haiku 4.5 $0.00004 $0.00142

Measured 15d ago against content hash 7f0fef4e4629, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

prior-auth-research 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 15d 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.

plugins/backwork/skills/prior-auth-research/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prior authorization research

Given a payer and CPT/HCPCS codes (and optionally diagnosis codes and a state), find out whether the payer's policy requires prior authorization, list the documentation criteria with citations, flag gaps, and produce a submission checklist.

The tools come from the Backwork MCP server. Their names start with backwork_. Some clients add a prefix, for example mcp__plugin_backwork_backwork__backwork_prior_auth_research. If no Backwork tool is available, tell the user to connect Backwork (https://backworkhealth.com/mcp) and stop. Do not answer from general knowledge.

Ground rules

  • Research support, not a determination. Report what the policy says. Never say PA "will be approved" or that a service "is medically necessary". End every answer with: "Confirm with the payer before you submit or schedule."
  • No PHI. Never ask for or accept patient names, member IDs, dates of birth, MRNs, addresses, or chart notes. If the user pastes any, do not repeat it. Ask them to remove it, and continue with codes, payer, state, plan type, and policy as-of date only. Send only those values to the tools.
  • Cite from tool output only. Each policy citation needs: policy number (policy_id), title, payer or authority, effective date, and source URL. Add the last-verified date when the tool returns it. A field the tool did not return is written "not returned". Never fill it in from memory.
  • Inferred codes are not document-backed. A code with source: inferred_title_match is attached because the policy title names the drug. The document does not list the code. Label it "Inferred from policy title. Confirm in the document." A code with source: document (or no source) is listed in the document.
  • Say when you don't know. If the tools return no PA rule or policy, write "Not determinable from Backwork data" and say what is missing. Do not guess.

Steps

  1. Get the inputs: payer and codes (required). Optional: diagnosis codes, state, plan type. Ask for payer or code if missing.
  2. Get the PA signal.
    • Traditional Medicare: call backwork_prior_auth_research with action: "check", procedure_codes, and state.
    • Any other payer (commercial, Medicare Advantage, Medicaid): call backwork_prior_auth_research with action: "start_research", procedure_codes, payer, state, and diagnosis_codes. If the result has a research_id and is not complete, call action: "get_research" with that research_id up to three times. If it is still running, give the research_id to the user and continue with the policy evidence.
  3. Get the policy evidence. Call backwork_coverage_lookup with procedure_codes, payer, state, diagnosis_codes, include: ["code_details", "prior_auth"], and code_include: ["policies"].
  4. For each policy that matches the payer (at most three), call backwork_policy_research with action: "get", policy_id, and include: ["criteria", "codes"]. Read the code's source and the criteria sections.
  5. If the criteria are thin, call backwork_policy_research with action: "criteria", query set to the code or service name, and section: "documentation".
  6. If diagnosis codes were given, call backwork_claim_validation with procedure_codes, diagnosis_codes, payer, and state to get documentation requirements and denial-risk notes.
  7. Write the answer in the format below.

Read the full file on GitHub · 76 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. 15d ago First seen · 76 lines · 38 tokens per session scan A 7f0fef4e4629

Subscribe to this mod's changes

prior-auth-research is a skill published in the GitHub repository tylergibbs1/backwork-mcp (1 stars, last pushed 2d ago), licensed MIT. It adds 38 tokens to every session and 1,417 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-02.

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