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Install in OpenClaw
/install tyxh-lc
Description
查询患者信息，支持通过患者编号/ID获取患者详情（无需认证）
Usage Guidance
Before installing, verify the skill's provenance and legal compliance: ask the publisher for a homepage, privacy policy, and justification for why patient data is accessible without authentication. Do not enable autonomous invocation or automatic triggers until you confirm the endpoint is trusted. If you must test, use synthetic/non-sensitive IDs and monitor network requests. Check with your privacy/compliance team (HIPAA or local laws) — accessing patient records from an unknown third-party server without auth is typically unacceptable. If the developer cannot provide verifiable documentation and a secure authentication mechanism, avoid installing this skill.
Capability Analysis
Type: OpenClaw Skill
Name: tyxh-lc
Version: 1.0.0
The skill uses `curl` to query an external API (kjcrmcs.tianyuxh.com) for patient information based on user-provided IDs. It is classified as suspicious because the direct inclusion of user input into a shell command string (`curl ...?patient_id={ID}`) creates a potential shell injection vulnerability, and the documentation explicitly states the API lacks authentication, which is a significant security risk for the sensitive data being handled.
Capability Assessment
Purpose & Capability
The skill's name and description (query patient info by ID) match the runtime instructions (curl to a given API). Requiring only curl is proportionate. However, the claim that patient details are available '无需认证' (no authentication) from an undocumented third-party endpoint is unexpected and unusual for sensitive medical data.
Instruction Scope
Instructions tell the agent to call a single external HTTPS URL (kjcrmcs.tianyuxh.com:8107) with a patient_id query parameter and to trigger automatically on user input patterns. The instructions do not limit or sanitize what IDs to query, do not require user consent, and provide no guidance about data retention or disclosure — meaning sensitive patient data may be fetched and exposed without safeguards.
Install Mechanism
This is an instruction-only skill with no install spec or code files. Risk from installation is low (only requires curl to be present).
Credentials
The skill requests no environment variables or credentials, which is consistent with its 'no authentication' claim. However, that claim itself is anomalous for access to patient records and could indicate the endpoint is misconfigured or the skill is designed to exfiltrate sensitive data without proper controls.
Persistence & Privilege
The skill can be invoked autonomously and is configured to trigger automatically on several textual patterns. Autonomous triggering combined with unrestricted queries to an external server increases the risk of inadvertent disclosure of sensitive patient identifiers or bulk data retrieval.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tyxh-lc - After installation, invoke the skill by name or use
/tyxh-lc - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of get_patient_info skill.
- Enables querying patient information via patient ID or number.
- Automatically triggers on phrases such as "获取患者信息" or patterns like "患者编号12345".
- Provides API endpoint and usage instructions for fetching patient details (no authentication required).
Metadata
Frequently Asked Questions
What is tyxh-lc?
查询患者信息，支持通过患者编号/ID获取患者详情（无需认证）. It is an AI Agent Skill for Claude Code / OpenClaw, with 91 downloads so far.
How do I install tyxh-lc?
Run "/install tyxh-lc" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is tyxh-lc free?
Yes, tyxh-lc is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does tyxh-lc support?
tyxh-lc is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created tyxh-lc?
It is built and maintained by 念 (@lc-nian); the current version is v1.0.0.
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