prior-authorization-appeal-evidence-packet

prior-authorization-appeal-evidence-packet is a skill for Claude Code, Codex from microsoft/aibast-agents-library. It costs 28 tokens per session (588 once invoked), scanned A, original, MIT.

A read-only outline for reconsidering a fictional prior-authorization decision. It identifies the source state, policy reference, minimum necessary evidence, and human owner.

In plain words
What is it for?
Use it to draft reconsideration evidence for synthetic request SYN-AUTH-001.
Why use it?
It helps organize an appeal or reconsideration packet without making a clinical decision or changing a record. It keeps responsibility with the appropriate human reviewer.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit Use it to draft reconsideration evidence for synthetic request SYN-AUTH-001.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/microsoft/aibast-agents-library/appeal-evidence-packet
About the project

AIBAST Agents Library is a collection of industry-focused AI agent templates accompanied by a local server that connects agents to GitHub Copilot for language-model inference. It helps developers create and run tool-using agents and isolated project environments, with an optional cloud-backed path for persistent memory. The catalogue entries provide the repository's agents, skills, commands, hooks, and instructions.

microsoft/aibast-agents-library · 8 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 microsoft/aibast-agents-library --skill appeal-evidence-packet
Clone the repo
git clone --depth 1 https://github.com/microsoft/aibast-agents-library

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 prior-authorization-appeal-evidence-packet

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/appeal-evidence-packet/github.svg)](https://agentmods.dev/skills/microsoft/aibast-agents-library/appeal-evidence-packet)
Your own site
<a href="https://agentmods.dev/skills/microsoft/aibast-agents-library/appeal-evidence-packet"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/appeal-evidence-packet/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-authorization-appeal-evidence-packet

Your own site · 80×15
<a href="https://agentmods.dev/skills/microsoft/aibast-agents-library/appeal-evidence-packet"><img src="https://agentmods.dev/badge/skills/microsoft/aibast-agents-library/appeal-evidence-packet.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 588 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 $0.00028 $0.00588
Opus 5.5 $0.00011 $0.00235
Sonnet 5.5 $0.00006 $0.00118
Haiku 4.5 $0.00003 $0.00059

Measured 1mo ago against content hash ecfababa5966, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

prior-authorization-appeal-evidence-packet 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 1mo 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.

solutions/prior-authorization/manual/skills/appeal-evidence-packet/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prior Authorization Agent — reconsideration evidence

Locked persona prompt

Prepare a minimum-necessary reconsideration evidence outline for SYN-AUTH-001.

Route semantically equivalent requests here without requiring an operation name.

Source

Use both packaged knowledge files. Select only the exact synthetic identifier requested; never request live patient information or invent a substitute.

Required output contract

Use the following finding-body template with the exact fields from the requested synthetic record. Replace every placeholder from retrieved evidence; never emit placeholders or values from another request.

Render these as complete text lines; do not split them across table cells. Use Markdown headings and a separate paragraph or bullet for each field, not a fenced code block.

# Reconsideration Evidence Draft
## {request_id}: {service}
A reviewer must confirm that reconsideration or appeal is appropriate and permitted.
Source-recorded workflow state: {source_status} ({source_date})
Referenced policy to verify: {policy_reference}
Include only authorized, minimum-necessary evidence.
## Evidence items
{evidence_item}: {source_value}
Human utilization reviewer owns rationale, completeness, and submission.

Repeat the evidence-item line for every item in source order. Keep each complete item name and its exact source value together, including every not-found or human-review qualifier. These lines inventory source evidence, not actions to perform. Append citations after complete lines. Retain the global policy's exact terminal safety footer.

Preserve exact identifiers, names, dates, values, statuses, headings, uncertainty, and source ordering from the knowledge files.

Source-grounding boundary

Treat workflow state and evidence presence as independent recorded facts. Never infer why a workflow state was recorded from evidence presence or absence. A missing field does not, by itself, establish the reason for a recorded state.

Read the full file on GitHub · 55 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. 1mo ago Changed · +24 lines ecfababa5966
  2. 1mo ago First seen · 31 lines · 28 tokens per session scan A 33736e16848f

Subscribe to this mod's changes

prior-authorization-appeal-evidence-packet is a skill published in the GitHub repository microsoft/aibast-agents-library (8 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 588 once invoked, about $0.0001 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 2026-09-03.

Related

Other skills, from other repositories

fto-triage

Freedom-to-operate triage — a structured first look at potentially blocking patents, not an FTO opinion. Use when a product, process, or feature is being evaluated for blocking patents, when asked whether anything stops a launch, or to build a claim-chart first pass against the most plausible patents before patent…

anthropics/claude-for-legal · 81 tokens

legal-hold

Issue, refresh, release, or report on legal holds — drafts the hold notice as .docx, updates legalhold fields in log.yaml, and calendars the next refresh. Use when the user says "issue a hold", "refresh hold", "release hold", or asks for a portfolio-wide hold status report.

anthropics/claude-for-legal · 68 tokens

specification-writing

A workflow for writing complete patent specifications from patent claims and an invention disclosure. It adapts the document to a chosen jurisdiction, such as the US, Europe, or China.

wanshuiyin/Auto-claude-code-research-in-sleep · 49 tokens

terms-of-service

Draft terms of service and a companion privacy notice matched to the product's form and feature modules, not legal advice, delivered as a Word document.

genspark-ai/genoffice · 32 tokens

x-scorecard

OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.

x-cmd/x-cmd · 57 tokens

ai-risk-management

Apply the NIST AI Risk Management Framework (AI RMF 1.0) and adjacent guidance to AI / ML systems — model lifecycle governance, fairness and bias evaluation, robustness, transparency, accountability, third-party model risk, monitoring for drift, and AI incident response. Broader than prompt-injection (which is the…

briiirussell/cybersecurity-skills · 180 tokens