markdown-new/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 ingestion, extraction, archiving, or token reduction, including selecting conversion method (auto/ai/browser), enabling image retention, and handling rate limits or conversion failures.
npx skillsauth add denissergeevitch/markdown-new-skill markdown-newInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Use this skill to convert public URLs into LLM-ready Markdown via markdown.new.
scripts/... and references/... from the skill directory, not workspace root.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'
http or https.scripts/markdown_new_fetch.py with --method auto first.--method browser if output misses JS-rendered content.--retain-images only when image links are required.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.
--deliver-md to force file output in .md format.<url>...markdown...</url>--output is omitted, the script auto-generates a filename from the URL.https://markdown.new/https://example.com?method=browser&retain_images=truePOST https://markdown.new/{"url":"https://example.com","method":"auto","retain_images":false}Prefer POST mode for automation and explicit parameters.
429 as rate limiting (documented limit: 500 requests/day/IP).robots.txt, terms of service, and copyright constraints.references/markdown-new-api.mddevelopment
Maintainer-only workflow for handling GitHub Secret Scanning alerts on OpenClaw. Use when Codex needs to triage, redact, clean up, and resolve secret leakage found in issue comments, issue bodies, PR comments, or other GitHub content.
development
Maintainer workflow for OpenClaw releases, prereleases, changelog release notes, and publish validation. Use when Codex needs to prepare or verify stable or beta release steps, align version naming, assemble release notes, check release auth requirements, or validate publish-time commands and artifacts.
development
Run, watch, debug, and extend OpenClaw QA testing with qa-lab and qa-channel. Use when Codex needs to execute the repo-backed QA suite, inspect live QA artifacts, debug failing scenarios, add new QA scenarios, or explain the OpenClaw QA workflow. Prefer the live OpenAI lane with regular openai/gpt-5.4 in fast mode; do not use gpt-5.4-pro or gpt-5.4-mini unless the user explicitly overrides that policy.
development
End-to-end Parallels smoke, upgrade, and rerun workflow for OpenClaw across macOS, Windows, and Linux guests. Use when Codex needs to run, rerun, debug, or interpret VM-based install, onboarding, gateway smoke tests, latest-release-to-main upgrade checks, fresh snapshot retests, or optional Discord roundtrip verification under Parallels.