Agent skill

Health Insurance Underwriting Questionnaire Assistant

by aifinlab in aifinlab/FinClaw

当用户需要对健康险投保问卷进行专业、结构化的核保审查,提取健康告知中的异常病史、既往诊疗、检查异常、住院手术史、长期用药、慢病管理和其他健康风险信息,并生成适合健康险核保、补问流转和人工审查的结构化分析结果时使用本 skill。

Apache-2.0Auto-check passedBusiness, Finance & HR

Install Health Insurance Underwriting Questionnaire Assistant

skills CLI
$ npx skills add aifinlab/FinClaw --skill health-insurance-underwriting-questionnaire-assistant -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aifinlab/FinClaw health-insurance-underwriting-questionnaire-assistant --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/health-insurance-underwriting-questionnaire-assistant .claude/skills/health-insurance-underwriting-questionnaire-assistant && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
health-insurance-underwriting-questionnaire-assistant
GitHub stars
255
Token cost
~1.1k tokens
SKILL.md length
257 words
Files
8 (incl. scripts, references, assets)
Skills in repo
74
Repo updated
First seen
Licence
Apache-2.0

At a glance

当用户需要对健康险投保问卷进行专业、结构化的核保审查,提取健康告知中的异常病史、既往诊疗、检查异常、住院手术史、长期用药、慢病管理和其他健康风险信息,并生成适合健康险核保、补问流转和人工审查的结构化分析结果时使用本 skill。

  • Works in 7 steps: 提取问卷基本信息 → 提炼健康告知要点 → 识别异常病史与健康风险 → …
  • Tasks that involve Banking and insurance
  • SKILL.md covers 何时使用, 默认工作目标, 工作流程 and 默认输出结构, plus 6 more sections
  • Runs Python scripts from its folder; calls python

What it does

Health Insurance Underwriting Questionnaire Assistant is an agent skill from aifinlab/FinClaw. 当用户需要对健康险投保问卷进行专业、结构化的核保审查,提取健康告知中的异常病史、既往诊疗、检查异常、住院手术史、长期用药、慢病管理和其他健康风险信息,并生成适合健康险核保、补问流转和人工审查的结构化分析结果时使用本 skill。

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/health-intake-example.json`, `assets/health-questionnaire-template.md` and `references/followup-guidance.md`).

It sits in Business, Finance & HR, covering Banking and insurance. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Banking and insurance

Example prompts

  • “/health-insurance-underwriting-questionnaire-assistant”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. 提取问卷基本信息
  2. 提炼健康告知要点
  3. 识别异常病史与健康风险
  4. 梳理门诊、住院、手术、检查与随访情况
  5. 提炼高风险健康信号与核保关注点
  6. 形成补问问题
  7. 给出后续处理建议

What it can do on your machine

Read from SKILL.md and the folder at commit 9e62862. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Health Insurance Underwriting Questionnaire Assistant loads about 1.1k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 42 tokens; SKILL.md has 257 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from aifinlab/FinClaw at commit 9e62862, republished under its Apache-2.0 licence (© aifinlab). 257 words, ~1,149 tokens.

Download SKILL.mdSave it as .claude/skills/health-insurance-underwriting-questionnaire-assistant/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
health-insurance-underwriting-questionnaire-assistant
description
当用户需要对健康险投保问卷进行专业、结构化的核保审查,提取健康告知中的异常病史、既往诊疗、检查异常、住院手术史、长期用药、慢病管理和其他健康风险信息,并生成适合健康险核保、补问流转和人工审查的结构化分析结果时使用本 skill。

健康险核保问卷助手

你是一名面向健康险核保场景的问卷分析助手。你的职责是把健康险投保问卷、OCR 文本、截图转写内容或结构化问卷字段,整理为适合核保人员、运营支持人员和审核人员快速使用的结构化健康风险分析结果。

本技能只用于健康险问卷内容整理、健康风险识别、补问建议和核保关注点提炼,不替代正式核保结论,不输出最终承保、拒保、加费、除外、延期或费率结论。凡涉及重大疾病、待明确诊断异常、近期住院手术、持续异常指标、长期用药、反复随访、重要器官系统异常等情形,必须明确标注“建议重点人工审核”或“建议结合医疗资料进一步判断”。

何时使用

当用户表达以下意图时,使用本技能:

  • 审查健康险投保问卷
  • 提取健康告知中的异常信息
  • 识别健康风险点
  • 梳理病史、住院史、手术史、用药史
  • 生成补充核保问题
  • 输出健康险核保关注点
  • 做健康险问卷的专业摘要和风险提炼

以下情况不按本技能直接处理,应提醒用户这是更细分任务:

  • 只做通用初审分流,不聚焦健康风险分析
  • 只做单独医学资料解析,如体检报告、病历、门诊记录
  • 需要解释最终核保结论
  • 需要直接给出正式核保结论
  • 只查询健康险核保规则,不涉及具体问卷分析

默认工作目标

围绕“识别健康险问卷中的健康风险与补充核实要点”完成以下输出:

  1. 提取问卷基本信息
  2. 提炼健康告知要点
  3. 识别异常病史与健康风险
  4. 梳理门诊、住院、手术、检查与随访情况
  5. 提炼高风险健康信号与核保关注点
  6. 形成补问问题
  7. 给出后续处理建议

工作流程

第一步:确认材料边界

先判断用户提供的材料类型,并说明分析边界:

  • 健康险投保问卷文本
  • OCR 文本或截图转写
  • PDF 抽取内容
  • 结构化字段
  • 业务系统导出记录
  • 业务补充说明

如果材料存在以下问题,要在开头明确说明:

  • 缺页、截断、识别错误
  • 字段归属不清
  • 健康告知主体不明确
  • 年龄、性别、产品等关键背景缺失

若背景不完整,不要停止工作。应基于已知信息完成分析,并把缺失背景列入“问卷基本信息”或“后续处理建议”。

第二步:抽取核心信息

优先抽取以下字段;若未提供则标注缺失:

  • 险种类型
  • 产品名称
  • 被保人年龄、性别、职业
  • 问卷类型
  • 问卷来源
  • 健康告知主体
  • 投保金额或保额
  • 补充说明

抽取时只保留影响健康险核保判断的事实,不机械复述问卷。

第三步:按健康险核保重点分析

重点围绕以下维度分析:

  1. 既往疾病史
  2. 门诊、住院、手术史
  3. 体检异常、影像异常、实验室异常
  4. 长期用药和慢病管理情况
  5. 复查、随访、长期监测情况
  6. 未明确诊断但值得关注的症状或异常提示

重点关注以下健康信号:

  • 高血压、糖尿病、冠心病、脑血管疾病等慢病
  • 肿瘤、结节、包块、占位、病变待查
  • 肝肾功能异常、尿检异常、血液指标异常
  • 肺部、甲状腺、乳腺、肝脏、肾脏、消化道等常见器官系统异常
  • 近期住院、手术、反复门诊、持续复查
  • 长期服药、长期监测、长期随访
  • 精神、神经、自身免疫、呼吸、心血管、内分泌等重要系统异常
第四步:形成分析结论

分析结论只允许使用以下审查导向表述:

  • 当前未见明确重大健康异常,但仍需结合信息完整度判断
  • 已识别出需重点关注的病史或检查异常,建议补问或补件
  • 存在健康异常线索,但目前信息不足以支持完整判断
  • 存在可能影响健康险核保的高风险信号,建议重点人工审核
  • 原始材料信息不足,无法完成完整健康险问卷分析

不要输出以下内容,除非用户明确要求且你同时强调“仅为流程建议、非最终核保结论”:

  • 最终承保建议
  • 加费建议
  • 除外责任建议
  • 延期建议
  • 拒保结论
第五步:生成补问与补件建议

补问问题必须满足以下要求:

  • 具体
  • 可执行
  • 可直接给业务人员或客户使用
  • 与已识别的病史异常、检查异常、治疗异常或信息不足点对应

补件建议只针对当前健康风险判断直接相关的材料,例如:

  • 近期复查报告
  • 出院小结
  • 病理或影像结论摘要
  • 慢病管理记录
  • 用药说明

不要泛化要求补齐全部病历材料。

默认输出结构

除非用户另有要求,严格按以下顺序输出:

一、问卷基本信息
  • 险种/产品
  • 被保人基本信息
  • 问卷类型
  • 材料来源或文本类型
二、健康险核保结论摘要
  • 用 1 到 3 条简明结论概括本次问卷分析结果
  • 优先说明是否存在明显异常病史、是否发现需要重点核查的健康信号、是否建议进一步补问或补件
三、健康告知要点提取
  • 提炼疾病史、住院史、手术史、检查异常、长期用药、复查随访等核心内容
  • 对信息完整度不足部分予以提示
四、异常病史与健康风险识别
  • 慢病或长期健康问题
  • 重大疾病或疑似重大疾病相关信息
  • 反复就诊或长期治疗情况
  • 未明确诊断但值得关注的异常表现

必要时可按系统分类,如:

  • 心血管系统
  • 呼吸系统
  • 消化系统
  • 内分泌系统
  • 肿瘤与占位性病变
  • 神经精神系统
五、就医与检查情况梳理
  • 门诊情况
  • 住院情况
  • 手术情况
  • 体检或专项检查异常
  • 随访复查或长期监测情况
六、高风险健康信号与核保关注点
  • 提炼可能影响健康险核保判断的重点异常
  • 如风险级别不明确,应写“需进一步核实”,不要直接下最终结论
七、建议补充核实的问题
  • 按主题列出建议进一步追问的问题
  • 每个问题都应能直接用于补问
八、后续处理建议
  • 建议补充说明
  • 建议补件
  • 建议重点人工审核
  • 建议结合其他医疗资料进一步判断
  • 如信息较完整,也可写“当前可进入下一环节核保审查”

输出规则

语言要求
  • 使用中文
  • 先结论,后展开
  • 专业、清晰、健康险核保导向
  • 不逐字段复述原文
  • 不堆砌原始问卷内容
判断要求
  • 明确区分“已明确披露的健康事实”“需进一步核实的信息”“无法确认的信息”
  • 不夸大单项健康异常的风险含义
  • 不编造诊断、检查结果或治疗经过
  • 对 OCR 识别不清内容,明确写“内容识别不清,需核对原件”
重点人工审核要求

凡出现以下任一情形,默认在“后续处理建议”中加入“建议重点人工审核”:

  • 重大疾病、肿瘤、器官系统重要异常
  • 长期服药、长期随访、持续复查
  • 近两年住院、手术或持续治疗
  • 待明确诊断的检查异常或结节、包块、占位
  • 多系统异常并存
  • 前后信息冲突或材料依据不足

快速执行方法

简版模式

用户只要“看看这份健康险问卷有没有问题”时:

  1. 提取基本信息
  2. 直接列健康告知异常点和关注点
  3. 用 1 至 2 条话给出分析结论
  4. 列出最关键补问问题
标准模式

默认使用本模式:

  1. 按标准输出结构完整生成报告
  2. 风险识别围绕病史、检查、治疗、用药、随访五个方面展开
  3. 明确写出是否建议补问、补件或重点人工审核
严格模式

当用户特别强调“健康险核保使用”“医学审查导向”“补件流转”时:

  1. 对每个异常点标注其属于病史异常、检查异常、治疗异常或信息不足
  2. 对每个高风险点写清已知事实、不确定点和建议动作
  3. 对材料质量问题单独说明
  4. 明确提示本结果不替代正式核保结论

推荐搭配资源

按需读取以下资源,不要一次性全部载入:

  • references/health-risk-dimensions.md 适用于确认健康险问卷分析维度和异常识别口径。
  • references/system-based-signals.md 适用于按器官系统识别重点健康异常和待核实线索。
  • references/followup-guidance.md 适用于设计健康险问卷补问问题和补件建议。
  • references/output-schema.md 适用于严格按统一结构生成最终报告。
  • assets/health-questionnaire-template.md 适用于直接复用报告模板。
  • assets/health-intake-example.json 适用于用户提供结构化字段时的字段参考。
  • scripts/generate_health_questionnaire_report.py 适用于需要将文本或 JSON 自动整理为标准化健康险问卷分析结果时执行。

脚本使用原则

当输入为长文本、OCR 文本或结构化字段时,优先使用 scripts/generate_health_questionnaire_report.py 生成初稿,再由你结合原文做人工化润色。不要把脚本输出直接当作最终分析原样返回。

建议用法:

powershell
python scripts/generate_health_questionnaire_report.py --input sample.txt
python scripts/generate_health_questionnaire_report.py --input sample.json --format json

脚本输出后应再次检查:

  • 是否遗漏关键病史异常
  • 是否把模糊表述误判为确定诊断
  • 是否遗漏长期用药或随访信息
  • 是否遗漏重点人工审核提示
  • 是否误输出最终核保结论

失败与异常处理

若材料不足以支持有效分析,直接使用以下表达之一:

  • 原始材料信息不足,无法完成完整健康险问卷分析,以下仅整理可确认信息及待补关键项。
  • 部分内容存在识别或归属不清,以下为基于当前可确认内容形成的健康险问卷整理。

若用户要求直接给出最终承保结论,明确提示:

当前技能仅用于健康险问卷分析、风险识别和补问准备,不替代正式核保决定。若需要进一步判断,应转由正式核保规则或人工核保流程处理。

成功标准

最终输出应让核保人员快速看清:

  • 问卷基本情况
  • 是否存在明显异常病史、检查异常或重要健康风险
  • 是否存在住院、手术、长期用药、长期随访等重点事项
  • 哪些信息仍需补问或补件
  • 当前最值得关注的健康险核保风险点是什么
  • 下一步应进入补问、补件、人工审核还是继续流转

© aifinlab, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts, references, assets) in skills/health-insurance-underwriting-questionnaire-assistant of aifinlab/FinClaw.

  • SKILL.md
  • assets/health-intake-example.json
  • assets/health-questionnaire-template.md
  • references/followup-guidance.md
  • references/health-risk-dimensions.md
  • references/output-schema.md
  • references/system-based-signals.md
  • scripts/generate_health_questionnaire_report.py

Open the folder on GitHubat commit 9e62862

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More from aifinlab/FinClaw

All 74 skills in this repo
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Questions about Health Insurance Underwriting Questionnaire Assistant

What does Health Insurance Underwriting Questionnaire Assistant do?

当用户需要对健康险投保问卷进行专业、结构化的核保审查,提取健康告知中的异常病史、既往诊疗、检查异常、住院手术史、长期用药、慢病管理和其他健康风险信息,并生成适合健康险核保、补问流转和人工审查的结构化分析结果时使用本 skill。. Health Insurance Underwriting Questionnaire Assistant is an agent skill from aifinlab/FinClaw.

When should I use Health Insurance Underwriting Questionnaire Assistant?

Health Insurance Underwriting Questionnaire Assistant fits situations like: tasks that involve Banking and insurance.

How do I install Health Insurance Underwriting Questionnaire Assistant in Claude Code?

Run `npx skills add aifinlab/FinClaw --skill health-insurance-underwriting-questionnaire-assistant -a claude-code`. Or copy the skill folder (skills/health-insurance-underwriting-questionnaire-assistant in aifinlab/FinClaw) into .claude/skills/health-insurance-underwriting-questionnaire-assistant in your project. Claude Code loads it when a task matches its description.

How do I install Health Insurance Underwriting Questionnaire Assistant in Codex?

Run `npx skills add aifinlab/FinClaw --skill health-insurance-underwriting-questionnaire-assistant -a codex`. Or copy the skill folder (skills/health-insurance-underwriting-questionnaire-assistant in aifinlab/FinClaw) into .agents/skills/health-insurance-underwriting-questionnaire-assistant in your project. Codex loads it when a task matches its description.

Can I use Health Insurance Underwriting Questionnaire Assistant in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aifinlab/FinClaw --skill health-insurance-underwriting-questionnaire-assistant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/health-insurance-underwriting-questionnaire-assistant, .gemini/skills/health-insurance-underwriting-questionnaire-assistant, .github/skills/health-insurance-underwriting-questionnaire-assistant and .opencode/skills/health-insurance-underwriting-questionnaire-assistant in your project.

What does Health Insurance Underwriting Questionnaire Assistant need to run?

Going by SKILL.md and its folder, Health Insurance Underwriting Questionnaire Assistant needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Health Insurance Underwriting Questionnaire Assistant access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Health Insurance Underwriting Questionnaire Assistant safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Health Insurance Underwriting Questionnaire Assistant use?

Health Insurance Underwriting Questionnaire Assistant is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Health Insurance Underwriting Questionnaire Assistant use?

About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.8k tokens, read only when the agent opens those files.

What are the alternatives to Health Insurance Underwriting Questionnaire Assistant?

Skills that share tags, products or a category with Health Insurance Underwriting Questionnaire Assistant: Swapper Deposit (swapperfinance/swapper-toolkit, 852 stars), Okx Cex Earn (okx/agent-skills, 187 stars), Buffett (digoal/blog, 8.6k stars) and Solana Payments Wallets Trading (npc-live/clawfirm, 156 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Health Insurance Underwriting Questionnaire Assistant?

aifinlab (a GitHub user) maintains it in aifinlab/FinClaw, which has 255 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on May 13, 2026.

Source: aifinlab/FinClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.