← 返回 Skills 市场
淘宝客全能工具箱
作者
wuhaichao87
· GitHub ↗
· v2.1.0
· MIT-0
523
总下载
1
收藏
1
当前安装
4
版本数
在 OpenClaw 中安装
/install taobaoke-tool
功能描述
提供淘宝、京东、拼多多商品链接转链、跨平台比价、一键价保及佣金追踪的实用工具箱。
安全使用建议
This skill's instructions expect API keys and local Python scripts, but the package contains only SKILL.md and no install steps or code. Before installing or running anything: 1) Do not copy/paste the API key values shown in the README into your environment — they may be sample, expired, or leaked credentials. 2) Ask the publisher for a proper install spec or the actual script files, and verify their origin (official repository, release tarball, or verified skill source). 3) Confirm which env vars are actually required and why, and prefer creating dedicated API keys you can revoke. 4) If you must test, run the scripts in a restricted sandbox (isolated VM/container) and monitor network calls to see which endpoints are contacted (the doc references zhetaoke.com). 5) If you cannot verify the source or obtain trustworthy install artifacts, avoid adding credentials to ~/.openclaw/.env or running unknown Python scripts — the current manifest is inconsistent and could lead to accidental credential exposure or running unreviewed code.
功能分析
Type: OpenClaw Skill
Name: taobaoke-tool
Version: 2.1.0
The skill documentation (SKILL.md) provides a configuration template containing hardcoded affiliate IDs and API keys (e.g., ZHETAOKE_APP_KEY, TAOBAO_PID, JD_UNION_ID). If users follow these instructions literally, all affiliate commissions will be redirected to the author, a practice known as commission hijacking. The actual Python scripts (e.g., taobaoke_master.py) are referenced but not provided, preventing a full audit of how these credentials or user sessions are handled.
能力评估
Purpose & Capability
The described purpose (link conversion, price-compare, price-protect, commission tracking) reasonably requires platform API keys (Zhetaoke, JD, Taobao, PDD). However the skill metadata declares no required env vars or config paths while the instructions explicitly require multiple API credentials and a specific ~/.openclaw/.env path. That mismatch is an incoherence: either the metadata is incomplete or the instructions expect out-of-band setup.
Instruction Scope
The SKILL.md tells the agent/user to run Python scripts from ~/.openclaw/workspace/skills/taobaoke-tool/scripts/*.py and to place credentials in ~/.openclaw/.env. There are no code files and no install spec in the package — the referenced scripts are not present. Instructions also reference remote API endpoints and include what appear to be hardcoded credentials/sample keys. Directing the user to run non-existent scripts and to store credentials without declaring them is scope creep and a practical risk.
Install Mechanism
There is no install specification (instruction-only). Normally low risk, but because the instructions expect local Python scripts under the skill's workspace and no mechanism is provided to install or fetch them, the skill as-distributed is non-functional unless external steps are taken. That gap is a red flag: it requires manual file placement from an unspecified source.
Credentials
The SKILL.md requires multiple API credentials (ZHETAOKE_APP_KEY, ZHETAOKE_SID, JD_UNION_ID, TAOBAO_PID, PDD_PID) and even includes specific key-like values inline. While platform API keys are plausible for the stated functions, the registry lists no required env vars/primary credential, and the inclusion of apparent real keys in the docs is risky and unexplained (could be sample/test keys or leaked secrets). The skill also instructs storing secrets in ~/.openclaw/.env which centralizes credentials — this should be made explicit in metadata and security guidance.
Persistence & Privilege
The skill does not request always: true and does not claim to modify other skills or system-wide settings. Autonomous invocation (disable-model-invocation: false) is platform default and not by itself a new concern. The main issue is missing install files rather than elevated privileges.
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 taobaoke-tool - 安装完成后,直接呼叫该 Skill 的名称或使用
/taobaoke-tool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
v2.1.0
整合三平台转链,添加主程序,优化输出格式,支持商品信息和佣金展示
v1.2.0
优化转链流程,添加详细使用说明,已配置折淘客API
v1.1.0
接入折淘客API,支持京东高佣转链
v1.0.0
初始版本:支持链接转链、多平台比价、佣金计算
元数据
常见问题
淘宝客全能工具箱 是什么?
提供淘宝、京东、拼多多商品链接转链、跨平台比价、一键价保及佣金追踪的实用工具箱。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 523 次。
如何安装 淘宝客全能工具箱?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install taobaoke-tool」即可一键安装,无需额外配置。
淘宝客全能工具箱 是免费的吗?
是的,淘宝客全能工具箱 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
淘宝客全能工具箱 支持哪些平台?
淘宝客全能工具箱 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 淘宝客全能工具箱?
由 wuhaichao87(@wuhaichao87)开发并维护,当前版本 v2.1.0。
推荐 Skills