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PathClaw

by 痴导 · GitHub ↗ · v1.0.4 · MIT-0
cross-platform ⚠ suspicious
169
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1
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Active Installs
5
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Install in OpenClaw
/install pathclaw
Description
通过华银康集团 PathClaw 服务对病理切片进行泛癌 AI 辅助诊断,适用于病理科医生或研究人员在收到切片图像后的初步筛查场景。当用户提供 .svs 格式的病理切片文件时,自动完成:认证登录、提交诊断任务、轮询推理结果、返回诊断结论及热力图链接。触发条件:用户请求分析病理切片、进行泛癌预测、肿瘤筛查、或提到...
Usage Guidance
Before installing or using this skill, consider the following: - Privacy: The skill will read local .svs files and upload them to https://pathclaw.pathologyunion.com. These files may contain patient identifiers; confirm you have legal/organizational permission to transmit PHI and verify the service's data handling, retention, and privacy policy. - Authentication ambiguity: The SKILL.md requires obtaining an auth token via POST /api/user/login but doesn't explain how credentials are supplied. Ask the publisher how credentials are provided and where secrets are stored — do not assume anonymous access. - Trust and provenance: The skill has no source, homepage, or publisher documentation. Prefer installing only skills backed by a known organization or official SDK and request documentation for the API endpoints used. - Safety controls: If you proceed, require explicit user consent before any upload, strip or redact non-essential metadata from slides when possible, and test with non-sensitive example files first. - Additional checks that would increase confidence: public documentation or an official SDK for PathClaw, clarification on authentication flow (where to supply credentials), a statement about PHI handling and retention, and a publisher identity or homepage.
Capability Analysis
Type: OpenClaw Skill Name: pathclaw Version: 1.0.4 The PathClaw skill is a legitimate integration for Huayinkang Group's pathology AI service. It automates the process of authenticating, uploading .svs pathology slides to 'pathclaw.pathologyunion.com', and retrieving diagnostic results. The instructions include robust file validation rules (extension, size, and readability checks) and security guidelines for handling tokens and network errors, with no evidence of malicious intent or unauthorized data exfiltration.
Capability Tags
requires-oauth-tokenrequires-sensitive-credentials
Capability Assessment
Purpose & Capability
The skill's name/description (PathClaw pathology slide analysis) aligns with the runtime instructions (validate a .svs file, POST it to pathclaw.pathologyunion.com, poll for results). However, the SKILL.md requires obtaining an auth token from a login endpoint yet the skill metadata declares no required credentials or primaryEnv; the login step has no description of how user credentials are provided. This is an incoherence: an authenticated API is described but the mechanism for supplying credentials is missing.
Instruction Scope
Instructions require the agent to access local filesystem paths, check file existence and read permissions, and upload the raw .svs file to an external domain. That behavior is consistent with the purpose but has high privacy sensitivity because .svs slides may contain protected health information (PHI). The document does not instruct anonymization, ask for user consent to transmit PHI, or explain data retention/processing at the remote endpoint. Those are notable omissions for medical data handling.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — lowest risk in terms of arbitrary code installation. The SKILL.md shows example curl commands but nothing will be written or installed by the skill itself.
Credentials
The skill declares no required environment variables or credentials while its runtime flow depends on a login POST that returns a token used for subsequent Bearer authorization. Either the service allows anonymous login (not documented) or the skill omitted where credentials come from — both are problematic. Additionally, no guidance is given on handling user secrets or minimizing exposed patient identifiers prior to upload.
Persistence & Privilege
The skill does not request persistent privileges (always:false) and does not attempt to modify other skills or system configuration. Autonomous invocation is allowed by default but not combined with other high-risk flags here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install pathclaw
  3. After installation, invoke the skill by name or use /pathclaw
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.4
## PathClaw 1.0.4 Changelog - resubmit
v1.0.3
- 更新 PathClaw 服务接口地址至 https://pathclaw.pathologyunion.com/ - 优化技能描述,明确适用场景和触发条件 - 技能整体表述更精炼,强调自动化诊断和热力图返回流程 - 补充部分说明信息以提升用户理解和安全引导
v1.0.2
PathClaw 1.0.2 Changelog - 修正了服务器地址,将 "http://119.91.47.20:8111/:8111" 更正为 "http://119.91.47.20:8111/"。
v1.0.1
- 更换了所有 API 请求和服务端点,从 https://pathclaw.pathologyunion.com:8111 更新为 http://119.91.47.20:8111。 - 所有相关的 curl 示例、接口调用路径及登录端点同步更新为新服务器地址。 - 文档其余内容未变(包括功能描述、流程校验、返回模板等)。
v1.0.0
Huayin Health Medical Group proudly launches PathClaw, China’s first pan-cancer AI pathology diagnostic tool! Built on the self-developed PanoPath foundation model, it offers plug-and-play convenience and seamless multi-platform integration. Trained on 3M+ slides.
Metadata
Slug pathclaw
Version 1.0.4
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 5
Frequently Asked Questions

What is PathClaw?

通过华银康集团 PathClaw 服务对病理切片进行泛癌 AI 辅助诊断,适用于病理科医生或研究人员在收到切片图像后的初步筛查场景。当用户提供 .svs 格式的病理切片文件时,自动完成:认证登录、提交诊断任务、轮询推理结果、返回诊断结论及热力图链接。触发条件:用户请求分析病理切片、进行泛癌预测、肿瘤筛查、或提到... It is an AI Agent Skill for Claude Code / OpenClaw, with 169 downloads so far.

How do I install PathClaw?

Run "/install pathclaw" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is PathClaw free?

Yes, PathClaw is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does PathClaw support?

PathClaw is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created PathClaw?

It is built and maintained by 痴导 (@t-programmer); the current version is v1.0.4.

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