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Memberful
作者
Vlad Ursul
· GitHub ↗
· v1.0.3
· MIT-0
191
总下载
0
收藏
0
当前安装
4
版本数
在 OpenClaw 中安装
/install memberful
功能描述
Memberful integration. Manage Members, Plans, Products, Discounts. Use when the user wants to interact with Memberful data.
安全使用建议
This skill appears internally consistent: it tells the agent to use the Membrane CLI to manage Memberful data and does not ask for unrelated secrets. Before installing, verify the @membranehq/cli package and its GitHub repo (supply-chain risk for npm packages), and be aware that the CLI will perform authentication and store credentials locally — any agent or user with access to that CLI while authenticated can interact with connected Memberful accounts. If you plan to run in a shared or automated environment, consider using npx or an isolated environment, review the Membrane account permissions, and avoid giving broad autonomous agent privileges unless you trust the skill and runtime.
功能分析
Type: OpenClaw Skill
Name: memberful
Version: 1.0.3
The skill provides instructions for an AI agent to interact with Memberful using the Membrane CLI (@membranehq/cli). It follows standard integration patterns for the Membrane platform, including CLI installation, managed authentication, and action discovery/execution. No indicators of data exfiltration, malicious code execution, or harmful prompt injection were found in SKILL.md or _meta.json.
能力评估
Purpose & Capability
The skill is presented as a Memberful integration implemented via the Membrane platform/CLI. The commands and workflow in SKILL.md (connect, action list/create/run) match that purpose. Minor note: the skill metadata/homepage points to getmembrane.com rather than memberful.com, but the README explicitly references Memberful and Memberful developer docs, which explains the relationship (Membrane wrapper for Memberful).
Instruction Scope
Instructions are limited to installing/using the Membrane CLI, authenticating, creating/ listing/ running actions, and using JSON flags. They do not instruct the agent to read unrelated files, harvest environment variables, or exfiltrate data to third parties. The auth flow is interactive (browser or code) and the README advises against asking users for raw API keys.
Install Mechanism
The SKILL.md recommends installing an npm package (@membranehq/cli) globally or using npx. That's a normal approach for a CLI integration, but installing arbitrary global npm packages carries the usual supply-chain risk — verify the package and its publisher (review the package on npm and the GitHub repo) before installing in sensitive environments.
Credentials
No environment variables, config paths, or credentials are requested by the skill itself; authentication is delegated to the Membrane service/CLI. This is proportionate to the stated purpose. Keep in mind the Membrane CLI will store authentication state locally (expected behavior) so CLI access implies access to connected services while the CLI is authenticated.
Persistence & Privilege
The skill is instruction-only and not marked always:true. It does not request permanent platform-level privileges. Installing the recommended CLI will write files to the system (normal for a CLI) but the skill metadata does not ask for elevated or cross-skill configuration changes.
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 memberful - 安装完成后,直接呼叫该 Skill 的名称或使用
/memberful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
v1.0.3
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
常见问题
Memberful 是什么?
Memberful integration. Manage Members, Plans, Products, Discounts. Use when the user wants to interact with Memberful data. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 191 次。
如何安装 Memberful?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install memberful」即可一键安装,无需额外配置。
Memberful 是免费的吗?
是的,Memberful 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Memberful 支持哪些平台?
Memberful 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 Memberful?
由 Vlad Ursul(@gora050)开发并维护,当前版本 v1.0.3。
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