lazarus

Lazarus — Bring dead websites back to life. Recover Google-indexed content from defunct websites via Wayback Machine, then deploy with AutoCode. Only recovers content that was actually indexed — no garbage. 捡尸复活已倒闭网站，只捡被谷歌收录过的内容，配合AutoCode一键部署。

Lazarus — Bring Dead Websites Back to Life

Lazarus — 捡尸复活，让倒闭网站重生

---

English

The Problem

Creating original content is hard. Millions of websites die every year. Their content disappears, but the Wayback Machine remembers everything.

That content is original, abandoned, and free. But not all of it is worth recovering — only content that Google actually indexed matters for SEO. Unindexed pages are garbage nobody ever saw.

What Lazarus Does

text

[STEP:1] Verify Death   — Confirm the site is truly dead (WHOIS expired, unreachable)
[STEP:2] Scout          — Query Wayback Machine CDX API, discover all archived pages
[STEP:3] Verify Index   — Check Google for each page: indexed = GOLD, likely indexed = SILVER, never indexed = SKIP
[STEP:4] Recover        — Download latest snapshots (GOLD + SILVER only)
[STEP:5] Clean          — Strip Wayback artifacts, fix links, convert to Markdown
[STEP:6] Organize       — Categorize by topic + index status, add frontmatter
[STEP:7] Review         — Screen recovered content for personal data (emails, phone numbers, addresses), API keys, internal URLs, account endpoints, and copyrighted assets. Flag or remove before publishing.
[STEP:8] Deploy         — Guide user to deploy via AutoCode or any static site generator

> **Legal notice**: Recovered content may still be protected by copyright even if the original site is dead. Domain expiration does not transfer content ownership. Review all recovered material for copyright, trademark, and personal information before republishing.

Why Google Index Verification Matters

Dead site with 500 archived pages. Without Lazarus, you'd blindly recover all 500 — most of them junk. With Lazarus: 80 were Google-indexed (GOLD), 120 were likely indexed (SILVER), 300 were never indexed (SKIP).

You just saved 60% of your time and got only the content that matters.

The Flywheel

text

Lazarus recovers content → AutoCode deploys → Live site in one session
         ↑                                              |
         └──── User finds more dead sites ←─────────────┘

AutoCode — 38+ skills for Claude Code. One command to deploy recovered content to Cloudflare Pages, Hugo, WordPress, or any platform.

How to Use

1. Open prompt.md, copy the full text
2. Paste into any AI with internet access (Claude Code, ChatGPT browsing, etc.)
3. Tell the AI a dead domain name
4. AI scouts, verifies Google indexing, recovers only valuable content
5. AI guides you to deploy with AutoCode

API Access

• Wayback CDX API — Free, no key. Works immediately.
• Save Page Now API — Free with archive.org account: https://archive.org/account/signup

---

中文

痛点

做原创内容太难了。每年有数百万网站倒闭，内容从互联网上消失。但 Wayback Machine 记住了一切。

问题是：不是所有内容都值得捡。只有被谷歌收录过的内容才有SEO价值。没被收录过的页面，说明连搜索引擎都不要，捡回来是垃圾。

捡尸要捡有价值的尸。

Lazarus 做什么

text

[步骤1] 确认死亡  — 验证域名确实挂了（WHOIS过期，无法访问）
[步骤2] 侦察     — 查询 Wayback Machine CDX API，发现所有历史页面
[步骤3] 验证收录  — 逐一检查谷歌：收录过=金矿，可能收录=银矿，从未收录=跳过
[步骤4] 恢复     — 只下载金矿+银矿页面的最新快照
[步骤5] 清洗     — 去掉 Wayback 注入代码，修链接，转 Markdown
[步骤6] 整理     — 按主题+收录状态分类，加 frontmatter
[步骤7] 审查     — 筛查恢复内容中的个人信息（邮箱、电话、地址）、API密钥、内部URL、账户端点和受版权保护的资源。发布前标记或删除。
[步骤8] 部署     — 引导用户用 AutoCode 一键部署

> **法律提醒**：恢复的内容可能仍受版权保护，域名过期不等于内容所有权转移。发布前请确认版权、商标和个人隐私信息。

为什么要验证谷歌收录

一个死站有500个历史页面。不用Lazarus的话，你只能盲目全捡回来——大部分是垃圾。 用 Lazarus：80个被谷歌收录过（金矿），120个可能收录过（银矿），300个从未收录（跳过）。

省了60%的时间，只拿有价值的内容。

闭环飞轮

text

Lazarus 恢复内容 → AutoCode 一键部署 → 活站上线
       ↑                                    |
       └──── 用户发现更多死站 ←──────────────┘

AutoCode — Claude Code 的38+技能包。一句话把恢复的内容部署到 Cloudflare Pages、Hugo、WordPress。

使用方法

1. 打开 prompt.md，复制全文
2. 粘贴到任何有联网能力的 AI（Claude Code、ChatGPT 联网模式等）
3. 告诉 AI 一个已倒闭的域名
4. AI 自动侦察、验证谷歌收录、只恢复有价值的内容
5. AI 引导你用 AutoCode 部署

API 说明

• Wayback CDX API — 免费，无需申请，直接可用
• Save Page Now API — 免费，需 archive.org 账号：https://archive.org/account/signup

---

Ecosystem / 生态

Resource	Link
AutoCode	github.com/ilang-ai/autocode
I-Lang Protocol	ilang.ai
OpenClaw Skills	github.com/ilang-ai/ilang-openclaw

License

MIT — Free to use, share, and build on.

© 2026 I-Lang Research, iLang Inc., Canada.