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Pipeworx genderize
作者
Bruce Gutman
· GitHub ↗
· v1.0.0
· MIT-0
88
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install pipeworx-genderize
功能描述
Predict the likely gender associated with a first name — with optional country-specific calibration via genderize.io
安全使用建议
This skill appears to do what it claims, but check these before installing:
- The SKILL.md expects you to run 'npx mcp-remote@latest ...' (downloads and runs code from npm). If you or the agent will execute that, ensure you trust gateway.pipeworx.io and the mcp-remote package. Consider pinning a specific version rather than 'latest'.
- Update the declared required binaries to include node/npx (or remove npx usage) so the metadata matches behavior.
- Be cautious about sending names (potentially PII) in bulk to an external service — confirm the service's privacy policy and encryption (calls use HTTPS in examples).
- If you need to audit what code will run, fetch the mcp-remote package separately and review it before allowing the agent to run npx.
- If you want lower risk, prefer a local implementation or an API with an explicit, documented install process rather than on-demand npx fetching.
功能分析
Type: OpenClaw Skill
Name: pipeworx-genderize
Version: 1.0.0
The pipeworx-genderize skill is a standard implementation for predicting gender based on names using a remote MCP server. It utilizes the 'mcp-remote' utility to connect to 'https://gateway.pipeworx.io/genderize/mcp' and provides documented tools for gender prediction with optional country calibration. No malicious code, data exfiltration, or prompt injection attempts were found.
能力评估
Purpose & Capability
The skill's name, description, and example RPC/curl call to gateway.pipeworx.io align with a gender-prediction purpose. However, the SKILL.md's 'Setup' recommends running 'npx mcp-remote@latest ...' which implies Node/npx is required — yet required binaries list only 'curl'. That mismatch suggests incomplete or inconsistent metadata.
Instruction Scope
Instructions are scoped to calling an external service (https://gateway.pipeworx.io/genderize/mcp) to predict gender and to configuring an MCP remote via npx. The instructions do not ask the agent to read local files or unrelated credentials. They do, however, direct the agent to send name data (potentially PII) to a third-party endpoint and to install/run remote tooling, which increases risk and should be explicit.
Install Mechanism
There is no formal install spec, but the 'Setup' asks the user/agent to run 'npx -y mcp-remote@latest ...', which will fetch and execute code from the npm registry at runtime. That behavior is higher-risk than a purely instruction-only skill and should be declared (required binaries: node/npx) and justified. The example also uses curl to call the gateway; the gateway is a third-party HTTPS endpoint (expected) but pulling remote code via npx is potentially surprising and should be made explicit in metadata.
Credentials
The skill requests no environment variables, no credentials, and no config paths — appropriate for a simple gender-prediction wrapper. Note: because it transmits names to an external API, users should consider privacy/compliance implications before sending PII.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request elevated persistence or modify other skills. There is no evidence of it attempting to persist credentials or change system-wide settings.
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 pipeworx-genderize - 安装完成后，直接呼叫该 Skill 的名称或使用
/pipeworx-genderize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
Initial release
元数据
常见问题
Pipeworx genderize 是什么？
Predict the likely gender associated with a first name — with optional country-specific calibration via genderize.io. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 88 次。
如何安装 Pipeworx genderize？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pipeworx-genderize」即可一键安装，无需额外配置。
Pipeworx genderize 是免费的吗？
是的，Pipeworx genderize 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Pipeworx genderize 支持哪些平台？
Pipeworx genderize 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 Pipeworx genderize？
由 Bruce Gutman（@b-gutman）开发并维护，当前版本 v1.0.0。
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