Best use case
dependency-tracker is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
每周依赖检查。检查 Node.js、npm 版本和全局包是否有可用更新。触发时机：cron 定时任务或手动调用。
Teams using dependency-tracker should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/dependency-tracker/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How dependency-tracker Compares
| Feature / Agent | dependency-tracker | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
每周依赖检查。检查 Node.js、npm 版本和全局包是否有可用更新。触发时机：cron 定时任务或手动调用。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Dependency Tracker 每周检查项目依赖是否有更新，确保安全和兼容性。 ## 核心流程 1. 读取 references/spec.md 获取详细规范 2. 检查 Node.js 版本 3. 检查 npm 版本 4. 检查全局安装的包 5. 运行 npm outdated 检查可更新包 6. 生成报告并发送 ## 触发时机 - cron 定时任务（建议每周） - 用户明确要求时 ## 投递规则（必须） 完成报告后，通过消息工具发送。 - 渠道：feishu - 目标：<飞书群ID或用户ID> 如果报告超过 3800 字符，分成多条消息发送。 每条消息必须语义完整（不断开 URL 或格式）。 如果发送失败，重试一次。如果仍然失败，输出错误——永远不要静默退出。 ## 输出 - 报告位置：`data/exec-logs/dependency-tracker/YYYY-MM-DD.md` - 消息推送到飞书群
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