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Tmetric
作者
Vlad Ursul
· GitHub ↗
· v1.0.1
· MIT-0
124
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install tmetric
功能描述
TMetric integration. Manage data, records, and automate workflows. Use when the user wants to interact with TMetric data.
安全使用建议
This skill looks coherent: it uses the Membrane CLI to connect to TMetric and does not ask for unrelated secrets. Before installing or running it, verify the authenticity of the @membranehq/cli package on the npm registry and that the getmembrane.com / github repository belong to the vendor you trust. Prefer running commands with npx (npx @membranehq/cli@latest ...) instead of a global npm install when possible, or install in an isolated environment. Be aware that connecting through Membrane grants that service access to your TMetric data on your behalf, so review Membrane's privacy/security docs and your organization’s policy. If you need higher assurance, ask the publisher for the exact package/version to pin and review its source code on the linked GitHub repo prior to installation.
功能分析
Type: OpenClaw Skill
Name: tmetric
Version: 1.0.1
The skill bundle provides instructions for an AI agent to integrate with TMetric using the Membrane CLI. It outlines standard procedures for authentication, action discovery, and execution via the '@membranehq/cli' npm package. No evidence of malicious intent, data exfiltration, or harmful prompt injection was found; the instructions focus on legitimate workflow automation and emphasize secure credential management through the Membrane platform.
能力评估
Purpose & Capability
The name/description (TMetric integration) aligns with the instructions: all runtime guidance is about using the Membrane CLI to connect to TMetric, find/build actions, and run them. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md only instructs installing/running the Membrane CLI, authenticating via membrane login, creating a connection for the tmetric connector, listing and running Membrane actions, and using JSON flags. It does not direct reading arbitrary files, accessing unrelated env vars, or exfiltrating data to unexpected endpoints.
Install Mechanism
There is no formal install spec in the registry entry, but the instructions tell users to run a global npm install (npm install -g @membranehq/cli@latest) or use npx. Installing a global npm package executes code from the public registry and has moderate risk; this is, however, proportionate for a CLI-based integration. Consider using npx or verifying the package before a global install.
Credentials
The skill declares no required environment variables or credentials. The instructions explicitly state that Membrane handles auth server-side and that you should not supply API keys yourself. This is proportionate for an integration that delegates auth to a connector service.
Persistence & Privilege
The skill is instruction-only, has always: false, and does not request persistent system-wide changes or access to other skills' configs. Autonomous invocation is allowed by default (disable-model-invocation: false) which is normal for skills and not by itself a red flag.
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 tmetric - 安装完成后，直接呼叫该 Skill 的名称或使用
/tmetric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
Tmetric 是什么？
TMetric integration. Manage data, records, and automate workflows. Use when the user wants to interact with TMetric data. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 124 次。
如何安装 Tmetric？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tmetric」即可一键安装，无需额外配置。
Tmetric 是免费的吗？
是的，Tmetric 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Tmetric 支持哪些平台？
Tmetric 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 Tmetric？
由 Vlad Ursul（@gora050）开发并维护，当前版本 v1.0.1。
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