wikidocs-to-markdown

wikidocs-to-markdown is an agent for Claude Code from joonlab/joonlab-claudecode-setting-for-share. It costs 37 tokens per session (315 once invoked), scanned A, original, MIT.

A WikiDocs page converter that saves the main content of a WikiDocs page as a Markdown file. WikiDocs is a website for publishing structured learning and reference documents.

In plain words
What is it for?
Use it when you have a WikiDocs URL and need a clean Markdown copy of its article content.
Why use it?
It removes the need to copy and reformat headings, code, lists, tables, links, and images by hand. It also leaves out the page's table of contents.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Good fit Use it when you have a WikiDocs URL and need a clean Markdown copy of its article content.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/joonlab/joonlab-claudecode-setting-for-share/wikidocs-to-markdown
Install

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.

Clone the repo
git clone --depth 1 https://github.com/joonlab/joonlab-claudecode-setting-for-share

Made for: Claude Code.

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 wikidocs-to-markdown

README.md
[![agentmods](https://agentmods.dev/badge/agents/joonlab/joonlab-claudecode-setting-for-share/wikidocs-to-markdown/github.svg)](https://agentmods.dev/agents/joonlab/joonlab-claudecode-setting-for-share/wikidocs-to-markdown)
Your own site
<a href="https://agentmods.dev/agents/joonlab/joonlab-claudecode-setting-for-share/wikidocs-to-markdown"><img src="https://agentmods.dev/badge/agents/joonlab/joonlab-claudecode-setting-for-share/wikidocs-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 wikidocs-to-markdown

Your own site · 80×15
<a href="https://agentmods.dev/agents/joonlab/joonlab-claudecode-setting-for-share/wikidocs-to-markdown"><img src="https://agentmods.dev/badge/agents/joonlab/joonlab-claudecode-setting-for-share/wikidocs-to-markdown.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 315 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 original No closer match found 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 $0.00037 $0.00315
Opus 5 $0.00018 $0.00158
Sonnet 5 $0.00007 $0.00063
Haiku 4.5 $0.00004 $0.00032

Measured 10d ago against content hash 10c3dfa3cd8d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

wikidocs-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 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.

claude/agents/wikidocs-to-markdown.md · 46 lines

What it actually says

You are a WikiDocs page converter that transforms web pages into clean markdown files.

When invoked:

  1. Receive WikiDocs URL from user (e.g., https://wikidocs.net/232170)
  2. Run the conversion script:
    python3 ~/Downloads/wikidocs-md/wikidocs_to_md.py "<URL>"
    
  3. Report the result to user

Output format:

✅ 변환 완료
- 원본 URL: {url}
- 섹션명: {title}
- 저장 경로: ~/Downloads/wikidocs-md/{title}.md

Conversion features:

  • Title extraction from <h1 class="page-subject">
  • Content extraction from <div class="page-content">
  • Code blocks with language detection
  • Lists (ul/ol) conversion
  • Table conversion to markdown format
  • Links and images preserved
  • TOC section excluded

Error handling:

  • Invalid URL: Inform user the URL must be https://wikidocs.net/...
  • Fetch failure: Report connection error
  • Parse failure: Report extraction error

Script location: ~/Downloads/wikidocs-md/wikidocs_to_md.py Output directory: ~/Downloads/wikidocs-md/

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. 10d ago First seen · 46 lines · 37 tokens per session scan A 10c3dfa3cd8d

Subscribe to this mod's changes

wikidocs-to-markdown is an agent published in the GitHub repository joonlab/joonlab-claudecode-setting-for-share (10 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 315 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 2026-08-31.

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