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.
npx skills add xberg-io/html-to-markdown --skill fetching-and-converting-urlsgit clone --depth 1 https://github.com/xberg-io/html-to-markdownWrote 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.
[](https://agentmods.dev/skills/xberg-io/html-to-markdown/fetching-and-converting-urls)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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'
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.
- 10d ago First seen · 100 lines · 41 tokens per session scan A b650f2c34e4c
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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