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Agent Skill · 研究检索

prior-auth-review-skill(事前授权审查技巧)

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

prior-auth-review-skill 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 29,354。

总安装 3,065周安装 124GitHub Stars 210下载 962核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:prior-auth-review-skill(事前授权审查技巧)
来源仓库:https://github.com/anthropics/healthcare
仓库路径:skills/prior-auth-review-skill
安装命令:
npx skills add https://github.com/anthropics/healthcare --skill prior-auth-review-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/anthropics/healthcare --skill prior-auth-review-skill

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

prior-auth-review-skill 用于辅助安全审计与权限检查,支持凭据风险和认证流程分析。适用于梳理敏感配置、排查常见漏洞或生成安全复核清单,需结合项目上下文使用。通过 npx skills add 命令从指定 GitHub 仓库安装,建议人工复核关键结论。

涉及密钥、令牌或用户数据时,应优先确认最小权限和操作边界,避免直接修改生产环境。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/prior-auth-review-skill

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/anthropics/healthcare --skill prior-auth-revie…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

prior-auth-review-skill 怎么安装?

在终端执行 npx skills add https://github.com/anthropics/healthcare --skill prior-auth-review-skill。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

prior-auth-review-skill 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

prior-auth-review-skill 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

prior-auth-review-skill 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

prior-auth-review-skill 用的人多吗?

公开数据是累计安装 3,065 次,近一周安装 124 次,下载 962 次,GitHub 210 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

prior-auth-review-skill 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
prior-auth-review-skill

事前授权审查技巧 · 本页

3,065210调用外部服务MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Prior Authorization Review Skill

Overview

This skill automates the payer review process for prior authorization (PA) requests. It processes clinical documentation, validates medical necessity against coverage policies, and generates authorization decisions with supporting rationale.

Target Users: Health insurance payer organizations (Medicare Advantage, Commercial, Medicaid MCOs)

Value Proposition: Reduce PA review time from 30-60 minutes to under 5 minutes. Enable auto-approval for 40-60% of clear-cut cases.


Architecture

This skill uses a simplified 2-subskill workflow:

Subskill 1: Intake & Assessment
  ↓ (validates data, extracts clinical info, assesses medical necessity)
Subskill 2: Decision & Notification
  ↓ (generates auth decision with provider notification)

ONLY REVIEW THE SUBSKILL FILES WHEN THEY ARE NEEDED, DONT PRE-READ THE WHOLE SKILL ON BOOTUP

Output: Authorization Decision Package

Waypoint Files

waypoints/
├── assessment.json          # Subskill 1 output (consolidated)
└── decision.json           # Subskill 2 output (final decision)

Prerequisites

Required MCP Servers

This skill requires 3 healthcare MCP connectors:

  1. CMS Coverage MCP Connector - Medicare coverage policies (NCDs, LCDs)
  2. ICD-10 MCP Connector - Diagnosis code validation and lookup
  3. NPI MCP Connector - Healthcare provider verification via NPPES

For detailed tool usage, parameters, and CMS web resources, see references/01-intake-assessment.md.

MCP Invocation Notifications

During execution, the skill displays notifications before and after each MCP connector call:

  • Before: "Verifying provider credentials via NPI MCP Connector..."
  • After: "NPI MCP Connector completed successfully - Provider verified: Dr. [Name]"
  • Before: "Validating diagnosis codes via ICD-10 MCP Connector..."
  • After: "ICD-10 MCP Connector completed successfully - [N] codes validated"
  • Before: "Searching coverage policies via CMS Coverage MCP Connector..."
  • After: "CMS Coverage MCP Connector completed successfully - Found policy: [Policy ID]"
  • Before: "Validating procedure codes via CMS Fee Schedule..."
  • After: "CPT/HCPCS codes validated via CMS Fee Schedule - [N] codes checked"

File Structure

See README.md File Organization section for complete directory structure and file descriptions.


Decision Policy

This skill enforces a decision policy rubric that determines the outcome when validation checks fail. The policy balances regulatory compliance, patient safety, and operational efficiency.

See references/rubric.md for:

  • Complete decision policy matrix (STRICT vs LENIENT enforcement)
  • Detailed decision logic flow and pseudocode
  • Override authority rules
  • Customization examples (lenient mode, strict compliance mode, auto-approval mode)

Quick Summary:

  • STRICT policies → Automatic DENY (provider verification, invalid codes, criteria NOT_MET)
  • LENIENT policies → Automatic PEND (insufficient evidence, missing policy)
  • Default fallback → PEND (when unclear)

To customize decision logic for your organization, edit references/rubric.md.


How to Use

Process PA Request

Simply invoke the skill:

Use the prior-auth-review-skill

The skill will:

  1. Check for incomplete requests (auto-resume if found)
  2. Collect PA request details
  3. Execute Subskill 1: Intake & Assessment
  4. Execute Subskill 2: Decision & Notification
  5. Output authorization decision package

Execution Flow

When this skill is invoked:

Startup: Check MCP Configuration

Before proceeding, verify required MCP connectors are available.

Check for the following MCP connectors:

  1. CMS Coverage MCP - Required for coverage policy lookup
  2. ICD-10 MCP - Required for diagnosis code validation
  3. NPI MCP - Required for provider verification

If any MCP connectors are not configured:

Display error and exit:

"Missing required MCP connectors: [list missing connectors]. This skill requires all three healthcare MCP connectors to function. Please configure the missing connectors and try again. See README Prerequisites for setup instructions."

Exit skill.

If all MCP connectors are available: Proceed silently to next step.


Startup: Request Input Files

Prompt the user to provide input files or use sample data.

Display the following prompt:

Prior Authorization Review requires the following input files:

REQUIRED FILES:
1. Prior Authorization Request Form (PDF) - Contains member info, requested service, provider details
2. Clinical Notes / H&P (PDF) - History and physical examination documentation
3. Diagnostic Imaging Reports (PDF) - CT, MRI, X-ray, or other imaging results
4. Laboratory Results (PDF) - Relevant lab work supporting medical necessity
5. Additional Supporting Documentation (PDF, optional) - PFTs, specialist consults, etc.

OPTIONS:
(A) Upload your own files - Provide paths to each required document
(B) Use sample files - Load pre-configured sample case (CT-guided lung biopsy)

Enter your choice (A/B): ___

If user selects (A) - Upload own files:

  • Prompt for path to each required file
  • Validate files exist and are readable
  • Store file paths for use in Subskill 1
  • Set using_sample_files = False

If user selects (B) - Use sample files:

  • Load sample files from assets/sample/:

- 01_Prior_Auth_Request_Form.pdf - 02_Clinical_Notes_H_and_P.pdf - 03_CT_Chest_Report.pdf - 04_Laboratory_Results.pdf - 05_Pulmonary_Function_Tests.pdf

  • Display: "Loading sample case: CT-guided transbronchial lung biopsy for 1.2cm RUL nodule"
  • Set using_sample_files = True
  • Demo mode note: When sample files are used, the sample data contains demo NPI (1234567890) and sample member ID (1EG4-TE5-MK72). This combination triggers demo mode, which skips the NPI MCP lookup for this specific provider only. All other MCP calls (ICD-10 validation, CMS Coverage policy search) execute normally.

Startup: Check for Existing Request

Check if waypoints/assessment.json exists:

  • If exists and incomplete: Found incomplete PA request: [Request ID] Resume this request? (Y/N): ___

- If Y: Load assessment and continue to Subskill 2 - If N: Archive and start new

  • If does not exist:

- Start from Subskill 1

Subskill 1: Intake & Assessment

Execute: Read and follow references/01-intake-assessment.md

What it does:

  1. Collect PA request information
  2. Validate provider credentials and codes (parallel MCP calls)
  3. Search coverage policies
  4. Extract clinical data
  5. Assess medical necessity against policy criteria
  6. Generate recommendation (APPROVE/DENY/PEND)

Output: waypoints/assessment.json (consolidated)

Duration: 3-4 minutes

Ask user:

Ready to proceed to Subskill 2? (Y/N): ___
  • If Y: Continue to Subskill 2
  • If N: Save and exit

Subskill 2: Decision & Notification

Execute: Read and follow references/02-decision-notification.md

What it does:

  1. Load assessment from Subskill 1
  2. Confirm or override recommendation
  3. Generate decision-specific content:

- Approval: Auth number, validity dates, limitations - Denial: Specific reasons, policy references, appeal rights - Pend: Documentation requests, submission deadline

  1. Create provider notification letter
  2. Document audit trail

Output:

  • waypoints/decision.json (final decision)
  • outputs/notification_letter.txt (provider notification)

Duration: 1-2 minutes

Final Summary

Display a concise completion message with:

  • Request details (ID, member, service, decision outcome)
  • Authorization number and validity dates (if approved)
  • Files generated (waypoints and notification)
  • Next steps based on decision type

Offer user options to:

  1. View decision letter
  2. Start new PA review
  3. Exit

Error Handling

Missing MCP Servers: If required MCP connectors not available, display error listing missing connectors and Removefully.

Missing Subskill Prerequisites: If Subskill 2 invoked without waypoints/assessment.json, notify user to complete Subskill 1 first.

File Write Errors: If unable to write waypoint files, display error with file path, check permissions/disk space, and offer retry.

Data Quality Issues: If clinical data extraction confidence <60%, warn user with confidence score and low-confidence areas. Offer options to: continue, request additional documentation, or abort.

For all errors, provide clear, actionable messages and user options for resolution.


Quality Checks

Before completing workflow, verify:

  • All required waypoint files created
  • Decision has clear rationale documented
  • All required fields populated
  • Output files generated successfully

Implementation Requirements

  1. Always read subskill files: Don't execute from memory. Read the actual subskill markdown file and follow instructions.
  2. Auto-detect resume: Check for existing waypoints/assessment.json on startup. If found and status is not "assessment_complete", offer to resume.
  3. Parallel MCP execution: In Subskill 1, execute NPI, ICD-10, and Coverage MCP calls in parallel for optimal performance.
  4. Preserve user data: Never overwrite waypoint files without asking confirmation or backing up.
  5. Clear progress indicators: Show users what's happening during operations (MCP queries, data analysis).
  6. Graceful degradation: If optional data missing, continue with available data and note limitations.
  7. Validate outputs: Check that waypoint files have expected structure before proceeding.

MCP Tool Call Transparency (REQUIRED)

CRITICAL: Every time you invoke an MCP tool or WebFetch for code validation:

BEFORE the call:

  • Display a simple notification explaining which connector is being used and what data is being queried
  • Example: "Verifying provider credentials via NPI MCP Connector..."

AFTER receiving results:

  • Display a brief summary of findings
  • Example: "NPI MCP Connector completed successfully - Provider verified: Dr. [Name] ([Specialty])"

If there's an issue:

  • Explain what went wrong and what happens next
  • Example: "NPI verification failed - Provider NPI not found in database. This will result in automatic DENY per policy."

Benefits:

  • Provides audit trail of all data sources consulted
  • Demonstrates thoroughness of review process
  • Highlights MCP connector capabilities
  • Makes AI decision-making transparent and explainable
  • Helps users understand what information drives recommendations

Requirements:

  • Display notification BEFORE and AFTER each MCP/WebFetch call
  • Keep notifications concise and informative
  • Always include brief summary of findings
  • Apply to ALL data lookups: NPI, ICD-10, CMS Coverage, and CPT/HCPCS validation

Common Mistakes to Avoid

  • ❌ Don't generate fake data when MCP queries fail
  • ❌ Don't skip prerequisite checks
  • ❌ Don't overwrite existing files without checking
  • ❌ Don't proceed if current subskill had errors
  • ❌ Don't call ICD-10 MCP multiple times for same codes
  • ✅ DO provide clear, actionable error messages
  • ✅ DO give users options when things go wrong
  • ✅ DO validate data quality at each step
  • ✅ DO execute MCP calls in parallel where possible

Subskill Descriptions

Subskill 1: Intake & Assessment (3-4 minutes)

  • Collects PA request details (member, service, provider, clinical docs)
  • Validates provider credentials via NPI MCP
  • Validates and retrieves ICD-10 code details via ICD-10 MCP (single batch call)
  • Validates CPT/HCPCS codes via WebFetch to CMS Fee Schedule
  • Searches coverage policies via CMS Coverage MCP
  • Extracts structured clinical data from documentation
  • Maps clinical evidence to policy criteria
  • Performs medical necessity assessment
  • Generates recommendation (APPROVE/DENY/PEND)
  • Output: waypoints/assessment.json (consolidated)
  • Data Sources: NPI MCP, ICD-10 MCP, CMS Coverage MCP (parallel), CMS Fee Schedule (web)

Subskill 2: Decision & Notification (1-2 minutes)

  • Loads assessment from Subskill 1
  • Confirms or allows override of recommendation
  • Generates authorization number (if approved) or denial rationale (if denied)
  • Creates provider notification letter
  • Documents complete audit trail
  • Output: waypoints/decision.json and notification letter

平台分布

Claude Code

29.63%
按下载量换算285

Gemini CLI

23.82%
按下载量换算229

Antigravity

17.36%
按下载量换算167

Codex

11.53%
按下载量换算111

OpenCode

7.91%
按下载量换算76

windsurf

3.03%
按下载量换算29

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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