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Markdown Fetch

Optimizes web fetching by using Cloudflare's Markdown for Agents, reducing token consumption by ~80%

skill openclawclawhub Free
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High Signal

Optimizes web fetching by using Cloudflare's Markdown for Agents, reducing token consumption by ~80%

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, index.js, test.js

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 7 sections Open source page

背景

Cloudflare 推出 Markdown for Agents 功能: AI 请求时返回 Markdown 格式 Token 消耗比 HTML 减少约 80%

使用方法

在需要网页抓取时,使用优化后的 fetch 函数: const { optimizedFetch } = require('./markdown-fetch'); const result = await optimizedFetch('https://example.com'); // result.markdown - Markdown 内容(如果有) // result.html - HTML 内容(备用) // result.tokensSaved - 节省的 tokens(如果有)

核心逻辑

async function optimizedFetch(url, options = {}) { const headers = { 'Accept': 'text/markdown, text/html', ...options.headers }; const response = await fetch(url, { ...options, headers }); const contentType = response.headers.get('content-type'); const xMarkdownTokens = response.headers.get('x-markdown-tokens'); let result = { url, contentType, tokensSaved: xMarkdownTokens ? parseInt(xMarkdownTokens) : null }; if (contentType.includes('text/markdown')) { result.markdown = await response.text(); result.format = 'markdown'; } else { result.html = await response.text(); result.format = 'html'; } return result; }

响应处理

Content-Type处理方式text/markdown直接使用,跳过 HTML 解析text/html走原有解析逻辑

可选:x-markdown-tokens 日志

如果响应中有 x-markdown-tokens header,记录到日志: if (result.tokensSaved) { console.log(`[Markdown Fetch] Token 节省: ${result.tokensSaved}`); }

改动范围

找到所有 HTTP 请求(fetch/axios/request) 统一添加 header 响应处理加判断

测试验证

找一个 Cloudflare 托管的网站测试: curl -H "Accept: text/markdown, text/html" https://cloudflare-example.com 确认收到 content-type: text/markdown 响应。

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Scripts1 Docs
  • SKILL.md Primary doc
  • index.js Scripts
  • test.js Scripts