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membranedev

Thanksio

作者 Membrane Dev · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ⚠ suspicious
156
总下载
0
收藏
0
当前安装
4
版本数
在 OpenClaw 中安装
/install thanksio
功能描述
Thanks.io integration. Manage Persons, Organizations, Addresses, Campaigns, Orders. Use when the user wants to interact with Thanks.io data.
安全使用建议
This skill appears to be a wrapper that uses the Membrane CLI to access Thanks.io — that's plausible. However, the registry metadata did not declare runtime requirements even though SKILL.md tells you to install the @membranehq/cli via npm and to login. Before installing or using it: 1) Verify the @membranehq/cli package on the npm registry (publisher, stars, source repository) to ensure it is legitimate. 2) Ensure you are comfortable performing the interactive login and granting Membrane access to your Thanks.io account (the CLI will obtain and store auth tokens). 3) Note that global npm installs may require admin rights; prefer installing in a controlled environment. 4) Ask the skill publisher to update metadata to declare required binaries (node/npm), the explicit install steps, and any config paths where credentials are stored. If you cannot verify the Membrane CLI or the publisher, treat the installation as risky.
功能分析
Type: OpenClaw Skill Name: thanksio Version: 1.0.3 The skill bundle provides instructions for an AI agent to interact with the Thanks.io platform using the Membrane CLI. It follows standard integration patterns, focusing on managing contacts, campaigns, and orders through a legitimate third-party service (getmembrane.com). No evidence of data exfiltration, malicious execution, or harmful prompt injection was found in SKILL.md or _meta.json.
能力评估
Purpose & Capability
The SKILL.md describes a Thanks.io integration implemented via the Membrane CLI, which matches the skill's name/description. However, the registry metadata claims 'no required binaries' and 'no required env vars' while the instructions explicitly require installing and running the @membranehq/cli (npm) and having network access and a Membrane account. That omission is a mismatch between declared requirements and actual runtime needs.
Instruction Scope
Instructions are focused on interacting with Membrane and Thanks.io (login, connect, list actions, run actions). They do not instruct the agent to read arbitrary files, search system paths, or exfiltrate data. The login flow is interactive and requires the user to complete authentication in a browser or enter codes; this is expected for OAuth-like CLI flows.
Install Mechanism
There is no formal install spec in the registry (skill is instruction-only), but SKILL.md instructs installing the Membrane CLI via 'npm install -g @membranehq/cli@latest'. That directs the user to a public npm package (traceable) but installs globally which requires admin privileges on some systems. The skill should have declared this runtime dependency in its metadata; the lack of an install spec is a transparency issue.
Credentials
The skill declares no required environment variables or primary credential, yet the instructions require a Membrane account and performing authentication via 'membrane login'. The absence of declared credentials/env vars is a mismatch. The actual operation will create and store auth tokens in the user's Membrane configuration, so users should confirm they trust the Membrane CLI and the publisher.
Persistence & Privilege
The skill is not forced-always, does not request elevated platform privileges, and is instruction-only (no files will be written by the skill itself). The CLI the user installs will persist on the system if they choose to install it, but the skill does not claim or require system-wide modifications beyond that.
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 thanksio
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /thanksio 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
v1.0.3
Auto sync from membranedev/application-skills
v1.0.2
Revert refresh marker
v1.0.1
Refresh update marker
v1.0.0
Auto sync from membranedev/application-skills
元数据
Slug thanksio
版本 1.0.3
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 4
常见问题

Thanksio 是什么?

Thanks.io integration. Manage Persons, Organizations, Addresses, Campaigns, Orders. Use when the user wants to interact with Thanks.io data. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 156 次。

如何安装 Thanksio?

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

Thanksio 是免费的吗?

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

Thanksio 支持哪些平台?

Thanksio 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 Thanksio?

由 Membrane Dev(@membranedev)开发并维护,当前版本 v1.0.3。

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