Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Convert public web pages into clean Markdown with markdown.new for AI workflows. Use when tasks require URL-to-Markdown conversion for summarization, RAG ing...
Convert public web pages into clean Markdown with markdown.new for AI workflows. Use when tasks require URL-to-Markdown conversion for summarization, RAG ing...
This item's current download entry is known to bounce back to a listing or homepage instead of returning a package file.
Use the source page and any available docs to guide the install because the item currently does not return a direct package file.
I tried to install a skill package from Yavira, but the item currently does not return a direct package file. Inspect the source page and any extracted docs, then tell me what you can confirm and any manual steps still required. Then review README.md for any prerequisites, environment setup, or post-install checks.
I tried to upgrade a skill package from Yavira, but the item currently does not return a direct package file. Compare the source page and any extracted docs with my current installation, then summarize what changed and what manual follow-up I still need. Then review README.md for any prerequisites, environment setup, or post-install checks.
Use this skill to convert public URLs into LLM-ready Markdown via markdown.new.
Resolve relative paths like scripts/... and references/... from the skill directory, not workspace root. If current directory is unknown, use an absolute script path. python3 ~/.codex/skills/markdown-new/scripts/markdown_new_fetch.py 'https://example.com' cd ~/.codex/skills/markdown-new python3 scripts/markdown_new_fetch.py 'https://example.com' Avoid this pattern from an arbitrary workspace root: python3 scripts/markdown_new_fetch.py 'https://example.com'
Validate the input URL is public http or https. Run scripts/markdown_new_fetch.py with --method auto first. Re-run with --method browser if output misses JS-rendered content. Enable --retain-images only when image links are required. Capture response metadata (x-markdown-tokens, x-rate-limit-remaining, and JSON metadata when present) for downstream planning.
Commands below assume current directory is the skill root (~/.codex/skills/markdown-new). python3 scripts/markdown_new_fetch.py 'https://example.com' > page.md python3 scripts/markdown_new_fetch.py 'https://example.com' --method browser --retain-images --output page.md python3 scripts/markdown_new_fetch.py 'https://example.com' --deliver-md
auto: default. Let markdown.new use its fastest successful pipeline. ai: force Workers AI HTML-to-Markdown conversion. browser: force headless browser rendering for JS-heavy pages. Use auto first, then retry with browser only when needed.
Use --deliver-md to force file output in .md format. In delivery mode, content is wrapped as: <url> ...markdown... </url> If --output is omitted, the script auto-generates a filename from the URL.
Prefix mode: https://markdown.new/https://example.com?method=browser&retain_images=true POST mode: POST https://markdown.new/ JSON body: {"url":"https://example.com","method":"auto","retain_images":false} Prefer POST mode for automation and explicit parameters.
Treat 429 as rate limiting (documented limit: 500 requests/day/IP). Convert only publicly accessible pages. Respect robots.txt, terms of service, and copyright constraints. Do not treat markdown.new output as guaranteed complete for every page; verify critical extractions.
references/markdown-new-api.md
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.