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Rewardful
作者
Vlad Ursul
· GitHub ↗
· v1.0.2
· MIT-0
252
总下载
0
收藏
0
当前安装
3
版本数
在 OpenClaw 中安装
/install rewardful
功能描述
Rewardful integration. Manage Affiliates, Products. Use when the user wants to interact with Rewardful data.
安全使用建议
This skill is an instruction-only integration that tells you how to use the Membrane CLI to talk to Rewardful. Before installing or running it: (1) Verify the @membranehq/cli package on the npm registry and the upstream repo (check maintainers, recent releases, and reviews). (2) Prefer npx where possible to avoid a global install, or install in an isolated environment. (3) Keep in mind Membrane handles OAuth/browser login — you will sign in via your browser; do not paste API keys into chat. (4) Review the CLI's permissions/behaviors (network access, file system usage) if you have strict security requirements. (5) If you want to limit risk, run initial testing in a sandboxed container or VM and audit the CLI commands the skill runs.
功能分析
Type: OpenClaw Skill
Name: rewardful
Version: 1.0.2
The skill provides instructions for an AI agent to interact with Rewardful via the Membrane CLI (@membranehq/cli). It outlines standard procedures for authentication, connection management, and executing API actions through the Membrane platform. No malicious patterns, data exfiltration, or suspicious execution logic were identified in SKILL.md or _meta.json.
能力评估
Purpose & Capability
The name/description (Rewardful integration) match the runtime instructions: it tells the agent how to install and use the Membrane CLI to connect to Rewardful, list/run actions, and proxy requests. Required capabilities (network + Membrane account) are appropriate for this purpose.
Instruction Scope
SKILL.md stays on-topic: it instructs installing Membrane CLI, performing browser-based login flows, creating a connection, listing/running actions, and proxying API requests. It does not instruct the agent to read unrelated files, ask for local secrets, exfiltrate data, or modify other system configuration.
Install Mechanism
The skill recommends installing @membranehq/cli globally via npm (npm install -g). Using an npm package is expected for a CLI but carries the usual supply-chain considerations; the skill itself does not bundle or download arbitrary archives. The README also suggests using npx for some commands, which avoids global install.
Credentials
No environment variables, config paths, or credentials are requested by the skill. Authentication is delegated to Membrane's browser-based flow, which is proportionate to the described integration.
Persistence & Privilege
always is false and the skill is user-invocable. The skill does not request persistent system presence or attempt to change other skills' configurations. Autonomous invocation is allowed (platform default) but not accompanied by broad privileges or secret access.
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 rewardful - 安装完成后，直接呼叫该 Skill 的名称或使用
/rewardful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
v1.0.2
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
Rewardful 是什么？
Rewardful integration. Manage Affiliates, Products. Use when the user wants to interact with Rewardful data. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 252 次。
如何安装 Rewardful？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install rewardful」即可一键安装，无需额外配置。
Rewardful 是免费的吗？
是的，Rewardful 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Rewardful 支持哪些平台？
Rewardful 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 Rewardful？
由 Vlad Ursul（@gora050）开发并维护，当前版本 v1.0.2。
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