How do I install the Prior Auth Coworker skill?

Run npx skillmds@latest add biotender-max/prior-auth-coworker in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Prior Auth Coworker skill do?

<!-- It is listed under Coding & Dev Tools on SkillMD.

Is Prior Auth Coworker safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Prior Auth Coworker?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Prior Auth Coworker free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Prior Auth Coworker?

BioTender-max (@biotender-max) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Prior Auth Coworker by biotender-max

Name: Prior Auth Coworker
Author: BioTender-max

File contents

name: 'prior-auth-coworker' description: 'Prior Auth Review' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command

Prior Authorization Coworker

This skill acts as an automated utilization management reviewer. It takes unstructured clinical notes and a procedure code, compares them against internal policy criteria (e.g., conservative therapy failure), and renders a decision.

When to Use This Skill

When a user asks to "review a prior auth request".
When checking if a patient qualifies for a specific procedure (e.g., MRI).
When you need to generate a structured approval/denial letter justification.

Core Capabilities

Policy Matching: Checks against specific criteria (e.g., "Pain > 6 weeks").
Trace Generation: Produces an "Anthropic-style" <thinking> trace for auditability.
Structured Output: Returns a JSON object with decision, reasoning, and timestamps.

Workflow

Extract Data: Parse the clinical note and procedure code from the user's input.
Execute Review: Run the coworker script.
Present Decision: Output the JSON decision and the reasoning trace.

Example Usage

User: "Check if this patient qualifies for an MRI of the Lumbar Spine: Patient has had back pain for 2 months, tried PT but it didn't work."

Agent Action:

python3 Skills/Clinical/Prior_Authorization/anthropic_coworker.py --code "MRI-L-SPINE" --note "Patient has back pain > 2 months. Failed PT."

Supported Policies

MRI-L-SPINE (Lumbar Spine MRI)

---name: prior-auth-coworkerdescription: ---name: 'prior-auth-coworker'description: 'Prior Auth Review'measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes.allowed-tools: - read_file - run_shell_command---# Prior Authorization CoworkerThis skill acts as an automated utilization management reviewer. It takes unstructured clinical notes and a procedure code, compares them against internal policy criteria (e.g., conservative therapy failure), and renders a decision.## When to Use This Skill* When a user asks to "review a prior auth request".* When checking if a patient qualifies for a specific procedure (e.g., MRI).* When you need to generate a structured approval/denial letter justification.## Core Capabilities1. **Policy Matching**: Checks against specific criteria (e.g., "Pain > 6 weeks").2. **Trace Generation**: Produces an "Anthropic-style" `<thinking>` trace for auditability.3. **Structured Output**: Returns a JSON object with decision, reasoning, and timestamps.## Workflow1. **Extract Data**: Parse the clinical note and procedure code from the user's input.2. **Execute Review**: Run the coworker script.3. **Present Decision**: Output the JSON decision and the reasoning trace.## Example Usage**User**: "Check if this patient qualifies for an MRI of the Lumbar Spine: Patient has had back pain for 2 months, tried PT but it didn't work."**Agent Action**:```bashpython3 Skills/Clinical/Prior_Authorization/anthropic_coworker.py --code "MRI-L-SPINE" --note "Patient has back pain > 2 months. Failed PT."```## Supported Policies* `MRI-L-SPINE` (Lumbar Spine MRI)

Frequently asked questions

Prior Auth Coworker