beeweave: Skill for Claude Code

.skills/workbench/baoyu-url-to-markdown/SKILL.md

baoyu-url-to-markdown is a skill for Claude Code, Codex from ptonlix/beeweave. It costs 72 tokens per session (2,160 once invoked), scanned A, a copy of baoyu-url-to-markdown, MIT.

A tool that fetches a webpage and converts it into clean Markdown, a plain-text format commonly used for documentation and notes. It can work with general pages and selected sites such as X, YouTube, and Hacker News.

In plain words
What is it for?
Use it to save webpages, YouTube transcripts, X posts, and Hacker News discussions as Markdown files.
Why use it?
Saving useful web content manually is slow, and copied pages often contain clutter or poor formatting. This tool creates a readable Markdown version and can wait for login or CAPTCHA interaction when needed.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: names the AskUserQuestion tool; built for openclaw.

This is ptonlix/beeweave's own configuration. It tells Claude Code and Codex how to work on beeweave itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything beeweave configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ptonlix/beeweave. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ptonlix/beeweave/main/.skills/workbench/baoyu-url-to-markdown/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ptonlix/beeweave

Made for: Claude Code, Codex.

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 baoyu-url-to-markdown

README.md
[![agentmods](https://agentmods.dev/badge/skills/ptonlix/beeweave/baoyu-url-to-markdown/github.svg)](https://agentmods.dev/skills/ptonlix/beeweave/baoyu-url-to-markdown)
Your own site
<a href="https://agentmods.dev/skills/ptonlix/beeweave/baoyu-url-to-markdown"><img src="https://agentmods.dev/badge/skills/ptonlix/beeweave/baoyu-url-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.

agentmods 80×15 button for baoyu-url-to-markdown

Your own site · 80×15
<a href="https://agentmods.dev/skills/ptonlix/beeweave/baoyu-url-to-markdown"><img src="https://agentmods.dev/badge/skills/ptonlix/beeweave/baoyu-url-to-markdown.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,160 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.
Origin 100% copy Near-identical to another mod 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 $0.00072 $0.02160
Opus 5 $0.00036 $0.01080
Sonnet 5 $0.00014 $0.00432
Haiku 4.5 $0.00007 $0.00216

Measured 11d ago against content hash 40913749b0e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

baoyu-url-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 11d ago.

The scan reads SKILL.md. This mod also ships 41 executable files (scripts/lib/adapters/generic/index.ts, scripts/lib/adapters/hn/index.ts, scripts/lib/adapters/index.ts, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

100% identical to baoyu-url-to-markdown — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.skills/workbench/baoyu-url-to-markdown/SKILL.md · 172 lines

How it starts

The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.

URL to Markdown

Fetches any URL via baoyu-fetch CLI (Chrome CDP + site-specific adapters) and converts it to clean markdown.

User Input Tools

When this skill prompts the user, follow this tool-selection rule (priority order):

  1. Prefer built-in user-input tools exposed by the current agent runtime — e.g., AskUserQuestion, request_user_input, clarify, ask_user, or any equivalent.
  2. Fallback: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.
  3. Batching: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order.

Concrete AskUserQuestion references below are examples — substitute the local equivalent in other runtimes.

CLI Setup

Important: The CLI source is vendored in {baseDir}/scripts/lib. scripts/package.json installs only third-party runtime dependencies.

Agent Execution Instructions:

  1. Determine this SKILL.md file's directory path as {baseDir}
  2. Resolve ${BUN} runtime: if bun installed → bun; else suggest installing Bun
  3. If {baseDir}/scripts/node_modules does not exist, run ${BUN} install --cwd {baseDir}/scripts
  4. ${READER} = {baseDir}/scripts/baoyu-fetch
  5. Replace all ${READER} in this document with the resolved value

Preferences (EXTEND.md)

Check EXTEND.md in priority order — the first one found wins:

Priority Path Scope
1 .baoyu-skills/baoyu-url-to-markdown/EXTEND.md Project
2 ${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-url-to-markdown/EXTEND.md XDG
3 $HOME/.baoyu-skills/baoyu-url-to-markdown/EXTEND.md User home
Result Action
Found Read, parse, apply settings
Not found MUST run first-time setup (see below) — do NOT silently create defaults

EXTEND.md supports: download media by default, default output directory.

Read the full file on GitHub · 172 lines

Files

What ships with it

49 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.

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. 11d ago First seen · 172 lines · 72 tokens per session scan A 40913749b0e9

Subscribe to this mod's changes

baoyu-url-to-markdown is a skill published in the GitHub repository ptonlix/beeweave (6 stars, last pushed 1mo ago), licensed MIT. It adds 72 tokens to every session and 2,160 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to baoyu-url-to-markdown, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens