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 ckorhonen/claude-skills --skill markdown-fetchgit clone --depth 1 https://github.com/ckorhonen/claude-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/ckorhonen/claude-skills/markdown-fetch)<a href="https://agentmods.dev/skills/ckorhonen/claude-skills/markdown-fetch"><img src="https://agentmods.dev/badge/skills/ckorhonen/claude-skills/markdown-fetch/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/ckorhonen/claude-skills/markdown-fetch"><img src="https://agentmods.dev/badge/skills/ckorhonen/claude-skills/markdown-fetch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00108 | $0.02524 |
| Opus 5 | $0.00054 | $0.01262 |
| Sonnet 5 | $0.00022 | $0.00505 |
| Haiku 4.5 | $0.00011 | $0.00252 |
Grade A, and why
markdown-fetch scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://example.com" | head -c 500 How it starts
The opening of the file, as written. The whole thing — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Markdown Fetch
Efficiently fetch web content as clean Markdown using the markdown.new service.
Why Use This
- 80% fewer tokens than raw HTML
- 5x more content fits in context window
- No external dependencies or parsing libraries needed
- Three-tier conversion (Markdown-first, AI fallback, browser rendering)
Triggering
This skill should trigger automatically when:
- User provides a URL (e.g., "Read https://example.com")
- User asks to extract/fetch/analyze web content
- User requests summarization of a webpage
- User needs to process article/blog/documentation URLs
Quick Start
# Fetch any URL
scripts/fetch.sh "https://example.com"
# Use browser rendering for JS-heavy sites
scripts/fetch.sh "https://example.com" --method browser
# Retain images in output
scripts/fetch.sh "https://example.com" --retain-images
Typical Usage Patterns
When a user says:
- "Read this article: https://..." → Use this skill to fetch the content
- "Summarize https://..." → Fetch with this skill first, then summarize
- "What does this page say: https://..." → Fetch the content
- "Extract the text from https://..." → Use this skill
Conversion Methods
auto (default) - Try Markdown-first, fall back to AI or browser as needed
ai - Use Cloudflare Workers AI for conversion
browser - Full browser rendering for JS-heavy content
Options
--method <auto|ai|browser> - Conversion method
--retain-images - Keep image references in output
--output <file> - Save to file instead of stdout
Output
Returns clean Markdown with metadata:
---
title: Page Title
url: https://example.com
method: auto
duration_ms: 725
fetched_at: 2026-03-07T12:00:00Z
---
# Content here...
When to Use
- Extracting articles, documentation, or blog posts
- Building RAG pipelines with web content
- Summarizing web pages
- Fetching content for analysis
- Converting sites to Markdown format
Implementation Notes
The service handles:
- Content negotiation (Accept: text/markdown)
- Cloudflare Workers AI conversion
- Browser rendering for dynamic content
- Automatic fallback between methods
What ships with it
2 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.
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.
- 10d ago First seen · 310 lines · 108 tokens per session scan A d6b5e89d6c3e
markdown-fetch is a skill published in the GitHub repository ckorhonen/claude-skills (14 stars, last pushed 2mo ago), licensed MIT. It adds 108 tokens to every session and 2,524 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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