fetching-and-converting-urls

fetching-and-converting-urls is a skill for Claude Code from xberg-io/html-to-markdown. It costs 41 tokens per session (693 once invoked), scanned A, original, MIT.

A guide to fetching a web page from a URL and converting it to Markdown, Djot, or plain text. A URL is a web address, and the tool can fetch one page before converting it.

In plain words
What is it for?
Use it to fetch one URL, save the converted result, set a custom user agent, preprocess noisy pages, or request structured conversion output.
Why use it?
It combines downloading a page with conversion and offers ways to reduce navigation, advertisements, cookie notices, and other unwanted page content.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the html-to-markdown plugin — 6 skills, 1 MCP server shipped together

Good fit Use it to fetch one URL, save the converted result, set a custom user agent, preprocess noisy pages, or request structured conversion output.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xberg-io/html-to-markdown/fetching-and-converting-urls
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add xberg-io/html-to-markdown --skill fetching-and-converting-urls
Clone the repo
git clone --depth 1 https://github.com/xberg-io/html-to-markdown

Made for: Claude Code.

Or install html-to-markdown, the plugin that ships this one along with the rest of its 6 skills, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for fetching-and-converting-urls

README.md
[![agentmods](https://agentmods.dev/badge/skills/xberg-io/html-to-markdown/fetching-and-converting-urls/github.svg)](https://agentmods.dev/skills/xberg-io/html-to-markdown/fetching-and-converting-urls)
Your own site
<a href="https://agentmods.dev/skills/xberg-io/html-to-markdown/fetching-and-converting-urls"><img src="https://agentmods.dev/badge/skills/xberg-io/html-to-markdown/fetching-and-converting-urls/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for fetching-and-converting-urls

Your own site · 80×15
<a href="https://agentmods.dev/skills/xberg-io/html-to-markdown/fetching-and-converting-urls"><img src="https://agentmods.dev/badge/skills/xberg-io/html-to-markdown/fetching-and-converting-urls.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 693 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00693
Opus 5 $0.00020 $0.00347
Sonnet 5 $0.00008 $0.00139
Haiku 4.5 $0.00004 $0.00069

Measured 10d ago against content hash b650f2c34e4c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

fetching-and-converting-urls scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/.ai-rulez/skills/fetching-and-converting-urls/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fetching and converting URLs

Use this when the user gives a URL instead of HTML and wants the page as Markdown (or its metadata/tables). The CLI fetches the page over HTTP and converts it in one step via --url. --url conflicts with a positional FILE.

For crawling many pages or following links, use crawlberg instead — this skill is for a single URL.

Fetch and convert

# Fetch a URL, print Markdown to stdout
html-to-markdown --url https://example.com

# Save to a file
html-to-markdown --url https://example.com -o page.md

# Custom User-Agent (default mimics a real browser)
html-to-markdown --url https://example.com --user-agent "MyBot/1.0"

--user-agent requires --url.

Clean noisy pages

Real web pages carry navigation, ads, cookie banners, and forms. Preprocess before converting:

html-to-markdown --url https://example.com/article --preprocess --preset aggressive

# Keep the nav or forms if the page content lives there
html-to-markdown --url https://example.com --preprocess --keep-navigation

Presets: minimal, standard (default), aggressive. --preset and the --keep-* flags require --preprocess.

JSON output (ConversionResult)

Add --json to get the full structured result instead of plain Markdown:

html-to-markdown --url https://example.com --json
{
  "content": "# Title\n\nContent\n",
  "metadata": {
    "document": { "title": "...", "language": "en" },
    "headers": [],
    "links": [],
    "images": [],
    "structured_data": []
  },
  "tables": [],
  "images": [],
  "warnings": []
}

Useful combinations (all require --json):

# Page title + outline, no Markdown body
html-to-markdown --url https://example.com --json --no-content \
  | jq '{title: .metadata.document.title, headings: [.metadata.headers[].text]}'

# Include the document-structure tree
html-to-markdown --url https://example.com --json --include-structure | jq '.document'

# Extract inline image data
html-to-markdown --url https://example.com --json --extract-inline-images | jq '.images | length'

Read the full file on GitHub · 100 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 100 lines · 41 tokens per session scan A b650f2c34e4c

Subscribe to this mod's changes

fetching-and-converting-urls is a skill published in the GitHub repository xberg-io/html-to-markdown (864 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 693 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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