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Wildapricot

作者 Vlad Ursul · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ 安全检测通过
121
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0
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0
当前安装
2
版本数
在 OpenClaw 中安装
/install wildapricot
功能描述
WildApricot integration. Manage data, records, and automate workflows. Use when the user wants to interact with WildApricot data.
安全使用建议
This skill delegates WildApricot access to the Membrane platform via their CLI. Before installing: (1) understand that you'll create a Membrane account and authorize it to access your WildApricot data — review Membrane's privacy/security and the connector's permissions; (2) prefer 'npx' for one-off commands to avoid a global npm install, or review the @membranehq/cli package on npm/GitHub for supply-chain concerns; (3) know the CLI will likely store tokens/config locally (check ~/.config, ~/.membrane, or similar) and decide if that's acceptable; (4) avoid pasting or sharing WildApricot API keys directly unless you intend to manage them yourself; and (5) if you need higher assurance, verify the connector implementation on the referenced GitHub repository and the Membrane service's trustworthiness before using it in production.
功能分析
Type: OpenClaw Skill Name: wildapricot Version: 1.0.1 The skill bundle provides instructions for an AI agent to manage WildApricot data using the Membrane CLI (@membranehq/cli). It outlines standard procedures for authentication, connection management, and action execution via the Membrane platform. There is no evidence of malicious intent, data exfiltration, or unauthorized execution; the logic is consistent with the stated purpose of providing a managed integration layer.
能力标签
cryptocan-make-purchases
能力评估
Purpose & Capability
The name/description (WildApricot integration) align with the instructions: the skill tells the agent to use the Membrane CLI to connect to WildApricot, discover actions, and run them. Requiring network access and a Membrane account is consistent with a connector-style integration.
Instruction Scope
SKILL.md tells the user/agent to install and run the Membrane CLI, perform an interactive login, create a connection, discover and run actions. The instructions do not ask the agent to read unrelated system files or environment variables. However, the document does not specify where the CLI stores credentials/config locally (it likely writes files under the user's home directory), so the skill will cause local state to be created.
Install Mechanism
There is no built-in install spec in the skill bundle, but the instructions advise running 'npm install -g @membranehq/cli@latest' or using npx. Installing a global npm package is a reasonable way to obtain the CLI but carries the usual npm risks (package scripts, supply chain). The instruction to use npx mitigates global install but both pull code from the npm registry.
Credentials
The skill declares no required env vars or credentials in the bundle. Functionality requires a Membrane account and interactive authentication to grant access to WildApricot; that means credentials and API access will be managed by Membrane (server-side) and the CLI. Users must trust Membrane with access to their WildApricot data — the SKILL.md explicitly states Membrane handles auth server-side, which is coherent but a non-trivial privacy/trust decision.
Persistence & Privilege
The skill does not request always:true and is user-invocable. It will not force inclusion in every agent run. Installing/using the Membrane CLI will add a local binary and likely create local config/tokens, but the skill does not claim or request elevated system privileges or modification of other skills.
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 wildapricot
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /wildapricot 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
v1.0.1
Auto sync from membranedev/application-skills
v1.0.0
Auto sync from membranedev/application-skills
元数据
Slug wildapricot
版本 1.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Wildapricot 是什么?

WildApricot integration. Manage data, records, and automate workflows. Use when the user wants to interact with WildApricot data. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 121 次。

如何安装 Wildapricot?

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

Wildapricot 是免费的吗?

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

Wildapricot 支持哪些平台?

Wildapricot 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 Wildapricot?

由 Vlad Ursul(@gora050)开发并维护,当前版本 v1.0.1。

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