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Auto Update Skill

智能 Skill 更新工具 - 安全地管理 skill 更新。

概述

Auto Update Skill 是一个帮助用户管理 OpenClaw skill 更新的工具。它提供版本检查、备份管理和回滚功能，确保更新过程安全可靠。

核心理念

安全第一： - 只读取本地文件，不执行危险操作 - 更新前自动备份 - 支持版本回滚 - 分级更新策略

功能

版本检查 - 查看已安装 skills 的当前版本
备份管理 - 更新前自动备份，支持手动备份
版本回滚 - 升级失败可回滚到之前版本
配置管理 - 黑名单、自动升级策略等
缓存管理 - 智能缓存避免重复检查

安装

clawhub install auto-update-skill

使用方法

检查版本

# 检查所有已安装 skills
auto-update-skill check

# 检查指定 skill
auto-update-skill check my-skill

更新 skill

# 获取更新提示（实际更新使用 clawhub）
auto-update-skill update my-skill

# 然后按提示运行
clawhub update my-skill

配置管理

# 查看配置
auto-update-skill config

# 添加黑名单（不自动检查更新）
auto-update-skill config blacklist add my-skill

# 移除黑名单
auto-update-skill config blacklist remove my-skill

# 设置自动升级策略
auto-update-skill config auto patch true
auto-update-skill config auto minor false
auto-update-skill config auto major false

备份与回滚

# 列出备份
auto-update-skill backup list

# 回滚到指定版本
auto-update-skill rollback my-skill --version 1.0.0

# 清除缓存
auto-update-skill refresh

配置说明

配置文件位置：~/.openclaw/auto-update-skill.json

{
  "mode": "interactive",
  "cacheDuration": 86400000,
  "autoUpgrade": {
    "patch": true,
    "minor": false,
    "major": false
  },
  "remindInterval": 604800000,
  "blacklist": [],
  "quietHours": {
    "start": "22:00",
    "end": "08:00"
  }
}

更新原则

版本变化	策略	说明
Patch (1.0.1→1.0.2)	建议升级	Bug 修复，安全更新
Minor (1.1→1.2)	建议升级	新功能，向后兼容
Major (1→2)	需确认	重大变更，可能影响功能

安全说明

本工具只读取本地文件，不执行网络请求
实际更新操作通过 clawhub CLI 执行
所有备份存储在本地 ~/.openclaw/skill-backups/
无敏感信息收集或传输

依赖

Node.js
OpenClaw 已安装
clawhub CLI 已配置

许可证

MIT

name: taobao-shopping description: Help users decide how to shop on Taobao from public marketplace characteristics. Use when the user asks whether Taobao is a good place to buy something, how to think about variety versus quality consistency, what to watch for on Taobao listings, or how to judge whether a Taobao item is worth considering.

Taobao Shopping

Help users make better Taobao shopping decisions from public marketplace signals.

This is a low-sensitivity public skill. It focuses on public decision support and does not perform login, account access, cookie handling, order retrieval, coupon claiming, local database persistence, or browser automation runtime actions.

Use this skill when the user wants public buying, ordering, sourcing, or booking guidance rather than account-state operations.

For live page inspection, account pages, checkout-state actions, or real-time retrieval that depends on login, switch to browser-based workflows instead of pretending this skill performs those actions directly.

Read these references as needed: - references/marketplace-guide.md for supporting guidance - references/output-patterns.md for supporting guidance

Workflow

Identify the user's shopping, ordering, or booking need.
Accept a product, merchant, ride, store, or booking scenario.
If the request is too broad, ask one short clarifying question.
Focus on public decision-relevant factors.
Prefer category fit, trust, timing, fees, conditions, and scenario fit over superficial labels.
Explain trade-offs.
Say why the strongest option fits.
Mention meaningful risks or caveats.
Give practical next-step advice.
Tell the user what to verify before paying or placing an order.

Output

Use this structure unless the user asks for something shorter:

Best Option

State the strongest current choice.

Why

List the main reasons.

Caveats

List meaningful concerns or trade-offs.

Final Advice

Give a direct practical suggestion.

Quality bar

Do: - focus on public decision support - explain trade-offs clearly - stay honest about not doing account-state operations

Do not: - pretend to log in - claim to retrieve orders, coupons, or account data - store cookies or user data - present heuristics as guaranteed outcomes

review-buying-advisor

alibaba-shopping

Installation