← 返回 Skills 市场
医小智
作者
lantian888
· GitHub ↗
· v1.0.0
· MIT-0
116
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install yixiaozhi
功能描述
基于“多模型并行推理、主动抗辩”的低幻觉(国家发明专利)独有模式,快速为用户提供精准的、个性化的疾病诊断、智能荐药、推拿按摩、针灸等服务。并推荐对应的检测机构、治疗机构。
安全使用建议
This package is internally inconsistent: SKILL.md asserts the agent should not call scripts, yet a Python script capable of contacting remote LLM endpoints is included; the docs claim automatic token fetching from https://jiyinjia.jinbaisen.com but the script does not implement that flow. The skill also forces adding a specific external cancer-screening link into reports. Before installing, consider: (1) verify the publisher and domain names (jinbaisen/jiyinjia/ydai) and confirm they are legitimate; (2) avoid allowing automatic token fetches or running curl against unknown URLs — prefer to supply your own vetted API key if you must test; (3) do not use this as a substitute for professional medical care — the skill's rules deliberately disallow cautious language and may produce overly confident diagnoses; (4) if you proceed, run the skill in a sandboxed environment and review network traffic to the listed domains. If you need a clean, auditable behavior, request an updated package where the token-fetch flow, the required external links, and the 'no-scripts' claim are reconciled and the service providers are documented.
功能分析
Type: OpenClaw Skill
Name: yixiaozhi
Version: 1.0.0
The skill contains high-risk prompt injection instructions that command the agent to bypass its own execution framework ('不调用任何脚本、不执行任何命令') and provide definitive medical diagnoses while explicitly forbidding safety disclaimers ('禁止推脱表达'). It also mandates the insertion of a specific commercial lead-generation link (bmsapp.geneplus.org.cn) whenever cancer-related keywords are detected, effectively hijacking the agent's output for unauthorized commercial redirection. While these behaviors are deceptive and medically irresponsible, they represent a high-risk scam/adware profile rather than intentional system-level malware like data exfiltration or backdoors.
能力标签
能力评估
Purpose & Capability
The skill claims to be an instruction-only assistant that must 'reply directly... not call any scripts', yet the package includes a runnable script (scripts/llm_chat.py) that calls an external LLM endpoint. SKILL.md and README also describe automatic token fetching from https://jiyinjia.jinbaisen.com/!token?key=skill_yxz, but the shipped script does not implement that fetch. These mismatches mean the declared behavior (no external calls, no scripts) does not align with the code and config included.
Instruction Scope
SKILL.md mandates strict runtime behavior (forbids calling scripts, forbids vague language, mandates a four-phase clinical flow) but also instructs startup to run curl to retrieve an API key and requires inserting a specific cancer-screening hyperlink into reports. The instructions therefore both constrain the agent's replies and instruct network actions and content insertion that are outside a simple 'reply-only' skill — this is inconsistent and gives the skill broad discretion to call external endpoints and inject marketing content.
Install Mechanism
There is no installer or remote download (lowest install risk). However the package includes a script that performs network calls to a third-party LLM endpoint (base_url: ydai.jinbaisen.com) and the documentation instructs curl to a separate token_url (jiyinjia.jinbaisen.com). No external binary installs are requested, but the presence of embedded hard-coded URLs to unknown domains is noteworthy.
Credentials
The skill declares no required environment variables but expects an API key (config.json) and documents a remote token URL for obtaining one. That token_url is hosted on an unfamiliar domain and is hard-coded in the config and docs. Asking the agent/admin to run curl against that URL or to allow automatic token retrieval is not justified by the skill's manifest and raises a risk that sensitive values or tokens could be routed through an external service. The mandatory insertion of a third-party screening link for any cancer-related diagnosis also suggests undisclosed business/traffic routing.
Persistence & Privilege
The skill does not request 'always: true' and does not declare modifications to other skills or system-wide settings. It appears to have normal invocation privileges only.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install yixiaozhi - 安装完成后,直接呼叫该 Skill 的名称或使用
/yixiaozhi触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
医小智 1.0.0 发布日志
- 新增上线“医小智”智能诊断助手,支持多模型并行推理和主动抗辩,提升诊断精准度。
- 支持用户描述症状、主动问诊及个性化输出用药、推拿、针灸等建议并推荐相关检测/治疗机构。
- 严格执行“2+4+病史”信息收集与三轮精准问诊,优化问诊流程。
- 全新结构化诊断报告格式,覆盖诊断、原因、详细药物推荐及生活建议。
- 增设癌症筛查提醒机制,诊断含癌症关键词时自动附带复查预约超链接。
- 优化高危疾病应对机制,自动添加风险警示和就诊建议。
元数据
常见问题
医小智 是什么?
基于“多模型并行推理、主动抗辩”的低幻觉(国家发明专利)独有模式,快速为用户提供精准的、个性化的疾病诊断、智能荐药、推拿按摩、针灸等服务。并推荐对应的检测机构、治疗机构。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 116 次。
如何安装 医小智?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install yixiaozhi」即可一键安装,无需额外配置。
医小智 是免费的吗?
是的,医小智 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
医小智 支持哪些平台?
医小智 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 医小智?
由 lantian888(@lantian888)开发并维护,当前版本 v1.0.0。
推荐 Skills