PRODUCTIVITY/效率应用
datawhalechina/deepagents-in-action
📚 《Deep Agents 实战》—— LangChain 官方大使出品，基于 LangChain / LangGraph 生态，从零构建生产级 AI Agent 的完整指南
怎么装：Install: npx skills add ob-labs/agentseek --skill langchain-dev-guide
02 / 现在的位置02 / Why now
首次发现FIRST SEEN
03 OCT 202603 OCT 2026
增长GROWTH
+0.1%+0.1%
2.6k → 2.6k stars · 3 个快照2.6k → 2.6k stars · 3 snapshots
状态STATUS
持续活跃Active
03 / 它能帮你做什么03 / What it helps you do
04 / 安装04 / Install
$ README 里给出的安装方式。The installation method given in the README.
$ README 里给出的安装方式。The installation method given in the README.
两种装法选一个即可 —— 上面那条给命令行用户，下面那条给写代码的用户。Pick one of the two — the first is for command-line users, the second for people writing code.
05 / 限制与风险05 / Limits and risk
风险不是警告，是可信度的一部分。以下结论只基于文档静态扫描，我们不会执行项目里的任何代码。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.
限制LIMITS
需检查Needs review
静态扫描STATIC SCAN
01读写本地文件Reads and writes local filesreadme
在沙箱中验证隔离执行与文件读写。模板：[`deepagents/sandbox`](https://github.com/agentseek-ai/agentseek-templates/tree/main/templates/deepagents/sandbox)
这里只做静态扫描：读 README、SKILL.md 和依赖清单，不执行代码。没有命中不代表安全。This is static scanning only: we read the README, SKILL.md and dependency list, and never execute code. No findings does not mean safe.
依赖：Dependencies:@tailwindcss/typography, @tailwindcss/vite, astro, tailwindcss
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