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Pipeworx agify
作者
Bruce Gutman
· GitHub ↗
· v1.0.0
· MIT-0
97
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当前安装
1
版本数
在 OpenClaw 中安装
/install pipeworx-agify
功能描述
Agify MCP — age prediction from first name (agify.io, free, no auth)
安全使用建议
This skill is lightweight and uses curl to call a Pipeworx JSON-RPC gateway that proxies agify.io — that is consistent with its description. Before installing/use: (1) confirm you trust the Pipeworx gateway (requests go to gateway.pipeworx.io, not directly to api.agify.io), (2) avoid enabling the `npx mcp-remote@latest ...` client config unless you trust the mcp-remote npm package (npx will download and execute code), and (3) if you operate in a restricted environment, ensure outbound requests to the gateway are acceptable and rate limits/anon usage are understood.
功能分析
Type: OpenClaw Skill
Name: pipeworx-agify
Version: 1.0.0
The pipeworx-agify skill is a standard wrapper for the Agify API, facilitating age prediction from names via a remote MCP gateway (gateway.pipeworx.io). It uses standard curl commands and the mcp-remote utility for connectivity, with no evidence of data exfiltration, malicious execution, or prompt injection in SKILL.md.
能力评估
Purpose & Capability
The name/description say 'age prediction from first name (agify.io)'. The SKILL.md shows simple JSON-RPC calls (HTTP POST) to a Pipeworx gateway that proxies agify data. Required binary is only curl — coherent with the provided curl examples.
Instruction Scope
Instructions are limited to making HTTP JSON-RPC POSTs to https://gateway.pipeworx.io/agify/mcp and listing/calling tools. They do not instruct reading local files or unrelated env vars. Note: the MCP client config suggests using `npx mcp-remote@latest ...` — that would fetch and run code from npm if used, so using that config grants execution of a remote package; the curl examples alone do not require this.
Install Mechanism
No install spec is present (instruction-only), so nothing is written to disk by the skill itself. Example usage references npx (which would download an npm package at runtime if invoked), but no install is required to use the provided curl examples.
Credentials
The skill declares no required environment variables or credentials and the task (querying a public, no-auth API via a gateway) does not justify requesting secrets.
Persistence & Privilege
The skill is not marked always:true, does not request persistent system-wide changes, and contains no instructions to modify other skills or system configs.
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-agify - 安装完成后，直接呼叫该 Skill 的名称或使用
/pipeworx-agify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 agify 是什么？
Agify MCP — age prediction from first name (agify.io, free, no auth). 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 97 次。
如何安装 Pipeworx agify？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pipeworx-agify」即可一键安装，无需额外配置。
Pipeworx agify 是免费的吗？
是的，Pipeworx agify 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Pipeworx agify 支持哪些平台？
Pipeworx agify 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 agify？
由 Bruce Gutman（@brucegutman）开发并维护，当前版本 v1.0.0。
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