# Prior Auth Packet Builder

> Build a concise prior authorization packet from local case files and payer policy docs. Use when this capability is needed.

- Skill: `tomevault-io/prior-auth-packet-builder` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/prior-auth-packet-builder`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/prior-auth-packet-builder/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/prior-auth-packet-builder

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# Prior Auth Packet Builder

Use this skill when a case requires prior authorization review, referral validation, imaging review,
or payer-specific policy checks.

## Workflow

1. Inspect `case/scenario.json` and `case/transcript.txt`.
2. Use `rg` against `policies/` to find payer, prior auth, referral, imaging, and PPO guidance.
3. Read only the most relevant policy files.
4. Create `output/policy_findings.md` with:
   - case summary
   - matched policy files
   - prior auth determination
   - referral determination
   - missing information
5. Create `output/human_review_checklist.md` with:
   - what a human reviewer should verify
   - what to tell the patient
   - what queue should own the case

## Rules

- Use targeted `rg` searches over broad file reads.
- Only cite policy files you actually inspected.
- Keep outputs concise and operational.
- If referral status is pending and prior auth is unclear, recommend human review.

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> Source: [openai/openai-agents-python](https://github.com/openai/openai-agents-python) — distributed by [TomeVault](https://tomevault.io).
<!-- tomevault:4.0:skill_md:2026-06-25 -->