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virtual-cell-reasoner

作者 WxuanYuan · GitHub ↗ · v0.0.1 · MIT-0
cross-platform ⚠ suspicious
99
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install virtual-cell-reasoner
功能描述
Consult a virtual cell language model on single-cell tasks — cell generation, cell understanding, cell perturbation, and biology Q&A using cell token sequences.
安全使用建议
This skill will send any prompt you give it to a hardcoded external server hosted on an ngrok domain. Before installing or using it, consider: 1) Do not send sensitive or proprietary biological data or any credentials to this skill. 2) Ask the publisher for the service's provenance, privacy policy, and a stable, official endpoint (ngrok defaults are often personal/ephemeral). 3) If you need this functionality, prefer a skill that points to a verified, documented server or run your own trusted service and pass its URL via --url. 4) Ensure your runtime has the Python 'requests' package installed. 5) If you must test it, run it in an isolated environment and monitor network traffic to the endpoint. If you cannot obtain trustworthy information about the remote service, avoid using the skill with real or sensitive data.
能力评估
Purpose & Capability
The skill claims to consult a virtual cell LLM and includes a Python client that POSTS prompts to a chat endpoint — this is consistent with the stated purpose. However, the default SERVER_URL is a personal/ephemeral ngrok domain with no homepage or owner contact, and the package does not declare the Python 'requests' dependency in metadata. The origin and trustworthiness of the service are unclear.
Instruction Scope
SKILL.md instructs the user/agent to run call_api.py which will transmit whatever prompt is provided to the remote /chat endpoint. That means any input (including sensitive biological data or credentials accidentally pasted) will be sent to the external server. The instructions do not limit or warn about this data transfer, and the default server is an off-platform ngrok URL, increasing exfiltration risk.
Install Mechanism
There is no install spec (instruction-only plus a single included Python client). No archives or third-party install URLs are used, which lowers install-time risk. Note: runtime requires the 'requests' Python package but that is not listed in the skill metadata.
Credentials
The skill does not request any environment variables, credentials, or config paths, which is proportionate for an LLM client. However, because the client posts data to a hardcoded external endpoint, the absence of declared credentials does not eliminate the risk that sensitive input could be exfiltrated to an untrusted service.
Persistence & Privilege
The skill does not request persistent privileges, does not set always:true, and does not modify system or other skill configs. It only contains a client script and runtime instructions.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install virtual-cell-reasoner
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /virtual-cell-reasoner 触发
  4. 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
v0.0.1
- Initial release of Virtual Cell LLM for single-cell biology tasks - Enables cell generation, cell understanding, and biology Q&A using cell token sequences - Provides command-line API examples for generating cells, summarizing features from tokens, and answering biology questions - Supports useful flags for token limit, sampling temperature, and custom server endpoint
元数据
Slug virtual-cell-reasoner
版本 0.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

virtual-cell-reasoner 是什么?

Consult a virtual cell language model on single-cell tasks — cell generation, cell understanding, cell perturbation, and biology Q&A using cell token sequences. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 99 次。

如何安装 virtual-cell-reasoner?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install virtual-cell-reasoner」即可一键安装,无需额外配置。

virtual-cell-reasoner 是免费的吗?

是的,virtual-cell-reasoner 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

virtual-cell-reasoner 支持哪些平台?

virtual-cell-reasoner 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 virtual-cell-reasoner?

由 WxuanYuan(@wxuanyuan)开发并维护,当前版本 v0.0.1。

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