shidianguji-fetcher
Scrapes and consolidates ancient texts from shidianguji.com into Markdown format.
Install
mkdir -p .claude/skills/shidianguji-fetcher && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/18138" && unzip -o skill.zip -d .claude/skills/shidianguji-fetcher && rm skill.zipInstalls to .claude/skills/shidianguji-fetcher
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
识典古籍采集助手。用于从识典古籍网站(shidianguji.com)抓取古书章节内容,批量下载并合并为 Markdown。Key capabilities
- →Search for ancient books on Shidianguji.com
- →Parse book and chapter links from search results
- →Download chapter content from Shidianguji.com
- →Merge downloaded chapters into Markdown files
- →Batch package multiple books into ZIP files
How it works
The skill fetches ancient book chapters from Shidianguji.com by resolving chapter URLs, downloading content, and merging it into Markdown files, with an option for batch packaging.
Inputs & outputs
When to use shidianguji-fetcher
- →Download full ancient texts
- →Batch process chapters into Markdown
- →Archive classical literature for offline study
About this skill
识典古籍采集助手
技能名称: shidianguji-fetcher 用途: 从识典古籍 (shidianguji.com) 搜索书目、解析书籍/章节链接、检索已下载古籍上下文、导出单本 Markdown、批量打包 ZIP 触发条件: 用户提到「识典古籍」「古籍下载」「shidianguji」,或需要古籍原典、历史经典、古代政治语境、玄学典籍上下文时
核心原理
识典古籍网站的结构特点:
- 章节页面 (
/book/XX/chapter/YY):服务端渲染,包含完整正文 + 全书章节列表 - 书籍首页 (
/book/XX):SPA(单页应用),HTTP GET 拿不到数据 - 搜索功能 (
/search?q=...):目前不稳定,多数书籍搜索不到
关键策略:
拿到任意一个章节 URL,就能从该页面挖掘整本书的所有章节,然后逐章下载。
完整工作流
方案 A:使用搜索引擎找章节 URL(推荐)
核心发现:识典古籍网站内部搜索功能失效,但通过外部搜索引擎可以找到!
-
使用搜索引擎查找
# 使用智谱搜索或其他搜索工具 mcp_call zhipu-web-search-sse webSearchPro "书名 识典古籍" # 示例:搜韩非子 mcp_call zhipu-web-search-sse webSearchPro "韩非子 识典古籍" -
从搜索结果中提取识典古籍链接
- 优先选择章节页面 URL:
https://www.shidianguji.com/book/{BOOK_ID}/chapter/{CHAPTER_ID} - 如果找到的是书籍首页或 mid-page,尝试访问后从页面找章节链接
- 优先选择章节页面 URL:
-
运行 Node 命令
node skills/shidianguji-fetcher/scripts/cli.js download "<chapter_url>" --title 书名
-
脚本自动完成
- 从该章节页面挖掘所有章节链接
- 逐章下载正文
- 合并为 Markdown 文件
-
输出结果
- 文件位置:
books/shidianguji-fetcher/{书名}_{bookId}.md - 告知用户或读入上下文
- 文件位置:
方案 B:用户提供章节 URL(备用)
如果用户已经有识典古籍的章节 URL,可以直接使用:
-
用户给出章节 URL
- 格式:
https://www.shidianguji.com/book/{BOOK_ID}/chapter/{CHAPTER_ID} - 示例:
https://www.shidianguji.com/book/SBCK070/chapter/1j745z4cg5mbg_1
- 格式:
-
运行 Node 命令
node skills/shidianguji-fetcher/scripts/cli.js download "<chapter_url>" --title 书名
-
输出结果
- 文件位置:
books/shidianguji-fetcher/{书名}_{bookId}.md - 告知用户或读入上下文
- 文件位置:
-
用户给出章节 URL
- 格式:
https://www.shidianguji.com/book/{BOOK_ID}/chapter/{CHAPTER_ID} - 示例:
https://www.shidianguji.com/book/SBCK070/chapter/1j745z4cg5mbg_1
- 格式:
-
运行 Node 命令
node skills/shidianguji-fetcher/scripts/cli.js download "<chapter_url>" --title 书名
-
脚本自动完成
- 从该章节页面挖掘所有章节链接
- 逐章下载正文
- 合并为 Markdown 文件
-
输出结果
- 文件位置:
books/shidianguji-fetcher/{书名}_{bookId}.md - 告知用户或读入上下文
- 文件位置:
方案 B:使用搜索工具(其他古籍网站)
对于其他有正常搜索功能的古籍网站,可以用搜索工具找到章节 URL:
-
使用搜索工具
# 使用智谱搜索 mcp_call zhipu-web-search-sse webSearchPro "书名 site:古籍网站域名" # 或使用 Tavily 搜索(如可用) mcp_call tavily-mcp-local tavily_search "书名 古籍网站" -
提取章节 URL
- 从搜索结果中找到章节页面链接
- URL 必须包含
/book/XXX/chapter/YYY格式
-
执行方案 A 的步骤 2-4
方案 C:识典古籍手动搜索(备用,不推荐)
识典古籍搜索功能不稳定,可手动搜索:
-
用户手动搜索
- 访问 https://www.shidianguji.com/
- 搜索书名
- 点击任意章节
- 复制章节 URL
-
执行方案 B 的步骤 2-4
注意: 识典古籍网站内部搜索功能经常失效(搜索结果为 0),推荐使用方案 A(外部搜索引擎)。
识典古籍搜索功能目前不稳定,可手动搜索:
-
用户手动搜索
- 访问 https://www.shidianguji.com/
- 搜索书名
- 点击任意章节
- 复制章节 URL
-
执行方案 A 的步骤 2-4
CLI 参数
node skills/shidianguji-fetcher/scripts/cli.js <command> [options]
| 参数 | 说明 | 必填 |
|---|---|---|
search <query> | 搜索识典古籍书目 | ❌ |
context <query> | 在本地已下载古籍中查找关键词上下文 | ❌ |
resolve <input> | 解析书名 / bookId / 章节 URL 到可下载书籍 | ❌ |
download <input> | 导出单本 Markdown | ❌ |
batch --input ... | 批量打包多本书 | ❌ |
--title, -t | 书名(覆盖自动推断标题) | ❌ |
--output-dir, -o | 输出目录(默认 workspace/books/shidianguji-fetcher) | ❌ |
--max-chapters | 仅抓前 N 章,便于 smoke/debug | ❌ |
--json | 输出 JSON 结果 | ❌ |
示例
# 搜索《论语》
node skills/shidianguji-fetcher/scripts/cli.js search "论语"
# 在本地已下载古籍中查“变法”
node skills/shidianguji-fetcher/scripts/cli.js context "变法"
# 从章节 URL 下载《韩非子》
node skills/shidianguji-fetcher/scripts/cli.js download "https://www.shidianguji.com/book/SBCK070/chapter/1j745z4cg5mbg_1" --title 韩非子
# 直接从书名下载《皇极经世》
node skills/shidianguji-fetcher/scripts/cli.js download "皇极经世" --max-chapters 3
# 批量打包
node skills/shidianguji-fetcher/scripts/cli.js batch --input "论语" --input "皇极经世"
当前运行方式
- 不再走 Python
.venv - 不在 skill 调用时
npm install - 直接使用 openclaw 容器里已存在的 Node runtime 与 repo 依赖
- 解析与打包逻辑已切换到 Node 脚本
- 网络层显式支持容器内
HTTP_PROXY/HTTPS_PROXY/ALL_PROXY,并带重试、超时、退避
当前限制
- 识典古籍搜索功能不稳定:多数经典古籍(如《论语》《鬼谷子》《孙子兵法》等)搜索不到
- 无浏览器会话兜底:当前保持轻量 HTTP 抓取,不引入 Playwright
- 仅限识典古籍网站:脚本专门针对该网站结构设计,其他网站需要调整
Guardrails
- ✅ 仅限学术用途
- ⏱️ 请求间隔使用轻量节流(默认 120ms),并带失败重试与退避
- 📄 尊重版权,下载内容仅供个人学习研究
已知可用书籍
通过搜索引擎测试(2026-03-26),以下书籍在识典古籍上有链接:
| 书籍 | 是否有识典古籍链接 | 链接类型 | 验证状态 |
|---|---|---|---|
| 《韩非子》 | ✅ 有 | 章节 URL | 已验证(SBCK070, DZ1177 两个版本) |
| 《论语》 | ✅ 有 | mid-page | 已验证 |
| 《鬼谷子》 | ❌ 无 | - | 搜索未找到 |
| 《孙子兵法》 | ❌ 无 | - | 搜索未找到 |
| 《资治通鉴》 | ❌ 无 | - | 搜索未找到 |
| 《战国策》 | ❓ 未知 | - | 未测试 |
说明:
- "有章节 URL":可以直接用于下载脚本
- "有 mid-page":可能需要进一步处理才能用于下载
- "无":识典古籍数据库中可能没有这本书,或者搜索引擎索引不全
文件结构
shidianguji-fetcher/
├── scripts/
│ ├── cli.js # Node CLI:search / resolve / download / batch
│ └── runtime-lib.js # 轻量 runtime:搜索、抓取、Markdown、ZIP
├── .claude/
│ ├── commands/
│ │ └── shidianguji-fetcher.md
│ └── skills/
│ └── shidianguji-fetcher.md
└── SKILL.md
更新日志
- 2026-03-26:发现外部搜索引擎可以绕过识典古籍内部搜索限制
- 更新工作流:方案 A 改为"使用搜索引擎查找"
- 验证了 6 本古籍的可用性:韩非子✅、论语✅、鬼谷子❌、孙子兵法❌、资治通鉴❌、战国策❓
- 识典古籍内部搜索功能失效,但外部搜索引擎(如智谱搜索)可以找到识典古籍的链接
- 2026-03-26:初始版本,记录搜索功能限制和工作流程
关联 Skill(网络调度协议)
| 关系 | Skill | 场景 |
|---|---|---|
| 被调用 | vitaforge-orchestrator | 古籍处理需求 |
When not to use it
- →For websites other than Shidianguji.com
- →When a browser session is required for data extraction
- →When the user wants to edit or analyze the content within the skill
Limitations
- →Shidianguji.com's internal search function is unstable
- →No browser session fallback (does not use Playwright)
- →Only for Shidianguji.com website
How it compares
This skill provides a specialized workflow for collecting ancient literature from Shidianguji.com, including a strategy to bypass the site's unstable internal search using external search engines, which is more targeted than general web scr
Compared to similar skills
shidianguji-fetcher side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| shidianguji-fetcher (this skill) | 0 | 26d | Review | Intermediate |
| pi-share | 1 | 4mo | Review | Beginner |
| web-scraper | 0 | 1mo | No flags | Intermediate |
| word | 26 | 8mo | Review | Beginner |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by PancrePal-xiaoyibao
View all by PancrePal-xiaoyibao →You might also like
pi-share
mitsuhiko
Load and parse session transcripts from shittycodingagent.ai/buildwithpi.ai/buildwithpi.com (pi-share) URLs. Fetches gists, decodes embedded session data, and extracts conversation history.
web-scraper
shobcoder
Scrape, crawl, and extract data from websites. Use when users ask to scrape web pages, extract content, crawl websites, or collect data from the internet.
word
Fergana-Labs
Create, read, edit, and manipulate Microsoft Word documents (.docx files). Use when users ask to work with Word files, create documents, read .docx files, or format text documents.
qmd
tobi
Search personal markdown knowledge bases, notes, meeting transcripts, and documentation using QMD - a local hybrid search engine. Combines BM25 keyword search, vector semantic search, and LLM re-ranking. Use when users ask to search notes, find documents, look up information in their knowledge base, retrieve meeting notes, or search documentation. Triggers on "search markdown files", "search my notes", "find in docs", "look up", "what did I write about", "meeting notes about".
biorxiv-database
lifangda
Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.
markdown-to-html
github
Convert Markdown files to HTML similar to `marked.js`, `pandoc`, `gomarkdown/markdown`, or similar tools; or writing custom script to convert markdown to html and/or working on web template systems like `jekyll/jekyll`, `gohugoio/hugo`, or similar web templating systems that utilize markdown documents, converting them to html. Use when asked to "convert markdown to html", "transform md to html", "render markdown", "generate html from markdown", or when working with .md files and/or web a templating system that converts markdown to HTML output. Supports CLI and Node.js workflows with GFM, CommonMark, and standard Markdown flavors.