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 rookie-ricardo/erduo-skills --skill web-to-markdowngit clone --depth 1 https://github.com/rookie-ricardo/erduo-skillsWrote 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/rookie-ricardo/erduo-skills/web-to-markdown)<a href="https://agentmods.dev/skills/rookie-ricardo/erduo-skills/web-to-markdown"><img src="https://agentmods.dev/badge/skills/rookie-ricardo/erduo-skills/web-to-markdown/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/rookie-ricardo/erduo-skills/web-to-markdown"><img src="https://agentmods.dev/badge/skills/rookie-ricardo/erduo-skills/web-to-markdown.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 | $0.00084 | $0.00869 |
| Opus 5 | $0.00042 | $0.00434 |
| Sonnet 5 | $0.00017 | $0.00174 |
| Haiku 4.5 | $0.00008 | $0.00087 |
Grade A, and why
web-to-markdown 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 13d 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web To Markdown
Convert URLs into usable Markdown by applying domain-aware fetching routes, then return the cleaned content directly.
Quick Workflow
- Normalize and validate the input URL.
- Select route:
r.jina.ai: general web + X/Twitter.defuddle.md: YouTube transcript/content extraction.special-browser-fetch: WeChat/Zhihu/Feishu.
- Return markdown text (or JSON metadata if needed).
For generic URLs (non-YouTube, non-WeChat/Zhihu/Feishu), use this fallback chain:
- try
r.jina.aifirst, - if it fails, fallback to direct HTTP fetch + Readability,
- if direct fetch still fails or returns shell-like content, fallback to browser extraction.
Commands
Run from this skill directory (skills/web-to-markdown):
npm install
node scripts/url_to_markdown.mjs <url>
Return metadata with markdown:
node scripts/url_to_markdown.mjs <url> --json
Force special-site browser extraction:
node scripts/fetch_special_sites.mjs <url> --json
Routing Policy
- Default route:
https://r.jina.ai/<url>. - YouTube (
youtube.com,youtu.be):https://defuddle.md/<url>. - X/Twitter (
x.com,twitter.com):https://r.jina.ai/<url>. - WeChat/Zhihu/Feishu: run
scripts/fetch_special_sites.mjs. - If input is already proxy-formatted (
https://defuddle.md/https://...orhttps://r.jina.ai/https://...), normalize back to the original URL and re-apply routing.
Special-Site Extraction Behavior
Use a two-stage strategy for WeChat/Zhihu/Feishu:
- Try
cuimpHTTP/TLS impersonation first, then clean HTML with Mozilla Readability. - If stage 1 fails or returns blocked/shell content, fallback to
puppeteer-extrabrowser impersonation.
- HTTP stage impersonates modern Chrome TLS/HTTP profile via
cuimp. - Browser stage impersonates a modern Chrome user agent and standard
sec-ch-uaheaders. - Remove known login modals and backdrop overlays (best effort).
- Scroll the page to trigger lazy-loaded article blocks.
- Parse cleaned document with Mozilla Readability.
- Convert extracted HTML body to Markdown via Turndown.
- Resolve browser executable from
CHROME_PATHfirst, then system Chrome/Chromium/Edge paths.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 220 B
- package-lock.json 87 KB
- package.json 768 B
- references/routing-and-notes.md 2.0 KB
- scripts/fetch_generic_fallback.mjs 9.3 KB runs code
- scripts/fetch_special_sites_http.mjs 3.8 KB runs code
- scripts/fetch_special_sites.mjs 14 KB runs code
- scripts/url_to_markdown.mjs 7.5 KB runs code
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.
- 13d ago First seen · 89 lines · 84 tokens per session scan A da910cfe5b1c
web-to-markdown is a skill published in the GitHub repository rookie-ricardo/erduo-skills (935 stars, last pushed 1mo ago), licensed MIT. It adds 84 tokens to every session and 869 once invoked, about $0.0004 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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