074-Frank-智慧医疗方案工具

074-Frank-智慧医疗方案工具 is a skill for Claude Code, Codex from frank666199/frank-presales-skills. It costs 0 tokens per session (612 once invoked), scanned A, original, MIT.

A planning guide for digital healthcare projects, including smart hospitals, shared medical networks, online hospitals, medical AI, and protection of health data.

In plain words
What is it for?
Use it to plan hospital modernization, telemedicine, online consultations, electronic prescriptions, medical-image analysis, medical-record quality checks, and compliance work.
Why use it?
It connects clinical services, hospital information systems, remote care, referrals, AI use, and security requirements in one proposal.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code; mentions Codex.

Good fit Use it to plan hospital modernization, telemedicine, online consultations, electronic prescriptions, medical-image analysis, medical-record quality checks, and compliance work.

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Install with agentmods
npx agentmods add skills/frank666199/frank-presales-skills/074-frank
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 frank666199/frank-presales-skills --skill 074-frank
Clone the repo
git clone --depth 1 https://github.com/frank666199/frank-presales-skills

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 074-Frank-智慧医疗方案工具

README.md
[![agentmods](https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/074-frank/github.svg)](https://agentmods.dev/skills/frank666199/frank-presales-skills/074-frank)
Your own site
<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/074-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/074-frank/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 074-Frank-智慧医疗方案工具

Your own site · 80×15
<a href="https://agentmods.dev/skills/frank666199/frank-presales-skills/074-frank"><img src="https://agentmods.dev/badge/skills/frank666199/frank-presales-skills/074-frank.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 612 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 $0.00000 $0.00612
Opus 5 $0.00000 $0.00306
Sonnet 5 $0.00000 $0.00122
Haiku 4.5 $0.00000 $0.00061

Measured 9d ago against content hash 27a1b570f404, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

074-Frank-智慧医疗方案工具 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 9d 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.

维度6-Enterprise-Projects/074-Frank-智慧医疗方案工具/SKILL.md · 89 lines

What it actually says

Skill: Frank-智慧医疗方案工具

Profile

  • Author: Frank
  • Version: 1.0.0
  • Language: 中文
  • Category: 维度6 - B端企业项目专精
  • Description: 设计智慧医院/医联体/互联网医院/医疗AI方案

When to Use

医疗行业数字化项目


Input Requirements

  • 医院类型/等级
  • 信息化现状
  • 建设需求

Workflow

  1. 评估医院信息化成熟度:HIS/EMR/LIS/PACS现状
  2. 设计智慧医院方案:智慧医疗/智慧服务/智慧管理
  3. 规划医联体方案:远程医疗/双向转诊/信息共享
  4. 设计互联网医院方案:在线问诊/电子处方/药品配送
  5. 规划医疗AI方案:辅助诊断/影像识别/病历质控
  6. 制定数据安全合规方案:等保三级+健康医疗数据安全
  7. 输出智慧医疗方案

Output Format

智慧医疗方案(含智慧医院+医联体+互联网医院+医疗AI+数据安全)


Output Template

方案模块 | 建设内容 | 技术方案 | 标准依据 | 预期效益

Example

字段 内容
医疗AI 肺部CT影像AI辅助诊断

Constraints

  • 方案符合医疗信息化标准
  • AI应用有临床依据
  • 数据安全符合法规

Quality Criteria

  • 方案覆盖智慧医院全场景
  • 技术方案专业
  • 合规设计完善

Applicable Scenarios

  • G端政府项目: 部分适用
  • B端企业项目: 适用
  • AI智能项目: 部分适用

Usage

方式1:Claude Code / Cursor / Codex

将本SKILL.md内容复制到Agent技能配置区,通过技能名触发。

方式2:飞书妙搭 / 扣子

将SKILL.md内容粘贴到Agent提示词配置区,设置触发词为技能名。

方式3:独立使用

直接复制本文件内容到AI对话中,按Workflow步骤执行。


Frank专属售前技能 | 维度6: B端企业项目专精 | 编号: 074 基于"Frank售前解决方案Skills工具集 v1.0"与实操提示词融合优化生成

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. 9d ago First seen · 89 lines · 0 tokens per session scan A 27a1b570f404

Subscribe to this mod's changes

074-Frank-智慧医疗方案工具 is a skill published in the GitHub repository frank666199/frank-presales-skills (11 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 612 tokens. 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.

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