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Trengo
作者
Vlad Ursul
· GitHub ↗
· v1.0.1
· MIT-0
117
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install trengo
功能描述
Trengo integration. Manage data, records, and automate workflows. Use when the user wants to interact with Trengo data.
安全使用建议
This skill delegates all Trengo access to the Membrane service and instructs you to install the @membranehq/cli from npm. Before installing/using it: (1) verify the Membrane npm package and the project's repository/homepage (getmembrane.com and the listed GitHub repo) to ensure they are legitimate; (2) be aware that giving Membrane a connection to Trengo grants that service access to your Trengo data—review its privacy/security docs and the account you use; (3) prefer using npx for one-off runs or audit what the global npm install will place on your system if you have restrictions; (4) do not enter Trengo API keys into the skill—follow the described auth flow; (5) if you need higher assurance, test in a non-production account or request more provenance about the skill owner before granting access.
功能分析
Type: OpenClaw Skill
Name: trengo
Version: 1.0.1
The 'trengo' skill provides instructions for an AI agent to manage Trengo data using the Membrane CLI (@membranehq/cli). The SKILL.md file outlines standard procedures for authentication, connection management, and action execution through the Membrane platform. There is no evidence of malicious intent, data exfiltration, or unauthorized execution; the skill focuses on leveraging a third-party integration service to handle API interactions and credentials securely.
能力评估
Purpose & Capability
Name/description claim Trengo integration and the SKILL.md exclusively instructs using the Membrane CLI to connect to Trengo, discover and run actions. Required items (no env vars, no config paths) match that scope.
Instruction Scope
Instructions are narrowly scoped to installing/using the Membrane CLI (login, connect, action list/run/create). They do require network access and interactive auth (browser or headless code exchange), which aligns with the described workflow and do not ask the agent to read unrelated files or secrets.
Install Mechanism
No install spec in registry (instruction-only). The docs recommend installing @membranehq/cli from npm (global or npx). Installing a CLI from npm is reasonable for this integration but has the usual supply-chain considerations (npm package execution privilege).
Credentials
The skill does not request environment variables, credentials, or config paths. Authentication is delegated to Membrane (server-side), which is appropriate for this integration; however, this shifts trust to Membrane's service for storing/refreshing credentials.
Persistence & Privilege
always is false and the skill is user-invocable; autonomous invocation is enabled by default but not excessive here. The skill does not request system-wide configuration or other skills' credentials.
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 trengo - 安装完成后,直接呼叫该 Skill 的名称或使用
/trengo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
v1.0.1
Auto sync from membranedev/application-skills
v1.0.0
Auto sync from membranedev/application-skills
元数据
常见问题
Trengo 是什么?
Trengo integration. Manage data, records, and automate workflows. Use when the user wants to interact with Trengo data. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 117 次。
如何安装 Trengo?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install trengo」即可一键安装,无需额外配置。
Trengo 是免费的吗?
是的,Trengo 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Trengo 支持哪些平台?
Trengo 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 Trengo?
由 Vlad Ursul(@gora050)开发并维护,当前版本 v1.0.1。
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