← 返回 Skills 市场
多平台返利管家
作者
fangshan101-coder
· GitHub ↗
· v0.1.0
· MIT-0
112
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install rebate
功能描述
多平台返利聚合管理，统一追踪各平台返利订单状态、到账进度，提供返利数据分析与省钱报告。
安全使用建议
Before installing, ask the developer for concrete implementation details: which platform APIs are used, exactly which credentials/tokens will be required, and the authentication method (OAuth with redirect, read‑only API keys, or requiring cookies/passwords). Request a privacy/data‑flow statement: where is user data stored, which external endpoints receive data, and how long tokens are retained. Prefer skills that use standard OAuth or scoped read‑only API keys and that publish source code or a trusted homepage. Never paste full account passwords or long‑lived cookies into a skill without confirming you can revoke them easily; if you test, use disposable accounts/keys. If the developer cannot supply clear answers and code or an audit trail, treat this skill as untrusted.
功能分析
Type: OpenClaw Skill
Name: rebate
Version: 0.1.0
The skill bundle contains only metadata and documentation (SKILL.md) describing a rebate tracking tool for platforms like Taobao and JD. There is no executable code, suspicious network activity, or malicious instructions present in the provided files.
能力评估
Purpose & Capability
The description promises cross‑platform account aggregation (淘宝联盟、京东联盟、多多进宝) and real‑time order syncing, which in practice requires platform credentials, API keys, OAuth flows, or cookie/session access. The skill declares no required environment variables, credentials, or config paths, which is inconsistent with the stated purpose.
Instruction Scope
SKILL.md is a high‑level product spec (features, reports, output format) but contains no runtime instructions about how to obtain/link accounts, which APIs to call, what endpoints to contact, or how alerts are delivered. It does not direct the agent to read unrelated system files or env vars, but it is underspecified and leaves sensitive decisions (how to collect credentials, where to send data) undefined.
Install Mechanism
No install spec and no code files are present (instruction‑only), so nothing will be written to disk or installed by default—this is the lowest install risk.
Credentials
To function as described the skill would need access to platform credentials or tokens. However, requires.env is empty and no primary credential is declared. This omission is a red flag: either the skill is only a conceptual spec, or it expects the agent to request sensitive credentials at runtime without describing the required types or scopes.
Persistence & Privilege
always:false and no install/install scripts are present. The skill does not request persistent system privileges or declare modifications to other skills or agent-wide settings.
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 rebate - 安装完成后，直接呼叫该 Skill 的名称或使用
/rebate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
v0.1.0
初始发布
元数据
常见问题
多平台返利管家 是什么？
多平台返利聚合管理，统一追踪各平台返利订单状态、到账进度，提供返利数据分析与省钱报告。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 112 次。
如何安装 多平台返利管家？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install rebate」即可一键安装，无需额外配置。
多平台返利管家 是免费的吗？
是的，多平台返利管家 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
多平台返利管家 支持哪些平台？
多平台返利管家 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 多平台返利管家？
由 fangshan101-coder（@fangshan101-coder）开发并维护，当前版本 v0.1.0。
推荐 Skills