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 markus-global/markus --skill markitdowngit clone --depth 1 https://github.com/markus-global/markusWrote 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/markus-global/markus/markitdown)<a href="https://agentmods.dev/skills/markus-global/markus/markitdown"><img src="https://agentmods.dev/badge/skills/markus-global/markus/markitdown/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/markus-global/markus/markitdown"><img src="https://agentmods.dev/badge/skills/markus-global/markus/markitdown.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00025 | $0.00497 |
| Opus 5.5 | $0.00010 | $0.00199 |
| Sonnet 5.5 | $0.00005 | $0.00099 |
| Haiku 4.5 | $0.00003 | $0.00050 |
Grade A, and why
markitdown 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 1mo 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.
What it actually says
MarkItDown File Converter
You have access to the MarkItDown MCP tool (markitdown__convert_to_markdown) for converting files to Markdown.
When to use
Use this tool when:
- The user asks you to read, analyze, or summarize a document (PDF, Word, Excel, PowerPoint, etc.)
- You need to extract text content from an image (OCR)
- The user shares a file path and wants you to understand its contents
- You are working with a file format that your text tools cannot directly read
Note: For images attached directly in chat, the system automatically handles conversion when your model doesn't support vision. This skill is for converting files on disk that you encounter during tasks.
Supported formats
MarkItDown supports 29+ file formats including:
- Documents: PDF, Word (.docx), PowerPoint (.pptx), Excel (.xlsx/.xls)
- Images: JPEG, PNG, GIF, WebP (EXIF metadata + OCR)
- Web: HTML, XML
- Data: CSV, JSON
- Other: ZIP (iterates contents), EPUB, Outlook messages (.msg)
Usage
markitdown__convert_to_markdown({ uri: "file:///path/to/document.pdf" })
The tool accepts a file URI and returns the content converted to Markdown format.
Prerequisites
MarkItDown requires Python 3.10+ and the markitdown package:
pip install 'markitdown[all]'
Or install only specific format support:
pip install 'markitdown[pdf,docx,pptx]'
Best practices
- Check file existence first: Verify the file path is valid before attempting conversion.
- Large files: For very large documents, the converted markdown may be lengthy. Summarize key sections for the user rather than dumping everything.
- Image OCR quality: OCR results depend on image clarity. Mention if text extraction seems incomplete.
- Fallback: If conversion fails (e.g., markitdown not installed), inform the user and suggest installing with
pip install 'markitdown[all]'.
What ships with it
1 file 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.
- 1mo ago First seen · 57 lines · 25 tokens per session scan A 72f3f67cd9eb
markitdown is a skill published in the GitHub repository markus-global/markus (207 stars, last pushed today), licensed Apache-2.0. It adds 25 tokens to every session and 497 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
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