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 matematicsolutions/awesome-matematic-skills-pl --skill markitdowngit clone --depth 1 https://github.com/matematicsolutions/awesome-matematic-skills-plWrote 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/matematicsolutions/awesome-matematic-skills-pl/markitdown)<a href="https://agentmods.dev/skills/matematicsolutions/awesome-matematic-skills-pl/markitdown"><img src="https://agentmods.dev/badge/skills/matematicsolutions/awesome-matematic-skills-pl/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/matematicsolutions/awesome-matematic-skills-pl/markitdown"><img src="https://agentmods.dev/badge/skills/matematicsolutions/awesome-matematic-skills-pl/markitdown.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 | $0.00105 | $0.01393 |
| Opus 5.5 | $0.00042 | $0.00557 |
| Sonnet 5.5 | $0.00021 | $0.00279 |
| Haiku 4.5 | $0.00011 | $0.00139 |
Grade A, and why
markitdown scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 20d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MarkItDown - konwerter dokumentów do Markdown (PL)
Lightweight utility Microsoftu - zachowuje strukturę (nagłówki, listy, tabele, linki), nie wygląd. Pod LLM, nie pod human.
Instalacja (zrobione 2026-04-21)
python -m pip install --user markitdown markitdown-mcp
Wymaga Python 3.10+ (testowane na 3.14). CLI: python -m markitdown.
Wspierane formaty
- PDF (preferuj dla krótkich, standardowych PDF; dla złożonych/tabel - OpenDataLoader PDF)
- Office: Word (.docx), Excel (.xlsx), PowerPoint (.pptx)
- HTML, EPUB, CSV, JSON, XML
- Obrazy (EXIF + OCR jeśli zainstalowane
[all]) - Audio (EXIF + transkrypcja jeśli włączone)
- ZIP (iteruje zawartość)
- YouTube URL (napisy)
Użycie
CLI (single file)
python -m markitdown input.pdf > output.md
python -m markitdown input.pptx -o output.md
Batch (Obsidian Vault)
for f in "$USERPROFILE/Documents/Obsidian Vault/Konwerter"/*.pdf; do
python -m markitdown "$f" > "${f%.pdf}.md"
done
Python API
from markitdown import MarkItDown
md = MarkItDown()
result = md.convert("plik.docx")
print(result.text_content)
MCP server
Opcjonalnie - jeśli chcesz udostępnić Claude Code jako MCP tool:
markitdown-mcp
Kiedy użyć MarkItDown vs OpenDataLoader PDF
| Sytuacja | Narzędzie |
|---|---|
| Word/Excel/PPT | MarkItDown |
| Prosty PDF, tekst liniowy | MarkItDown (szybsze) |
| Złożony PDF z tabelami, reading order, papers naukowe | OpenDataLoader PDF (jakość) |
| Audio/transkrypcja | Whisper (mamy whisper-asr-pipeline) |
| Web page | Defuddle (mamy defuddle od Kepano) |
Integracja z vault
Output docelowo → Konwerter/ (folder w vault dla source-pdf → MD). Frontmatter: type: source-pdf, tags: [pdf, zrodlo]. Zobacz vault-rules.json → clippings.classification_rules.pdf_source.
Gotcha
markitdown[all]na Python 3.14/3.15 failuje (onnxruntime, youtube-transcript-api konflikt) - użyj zainstalowanegomarkitdownbez extras- Dla OCR obrazów / pełnego YouTube - Docker albo starszy Python (3.11/3.12)
- Nie używaj dla high-fidelity conversion dla human reading - tylko pod LLM
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.
- 20d ago Changed 759fe38d931b
- 21d ago Changed · +26 lines 82dd8285f24d
- 1mo ago First seen · 81 lines · 105 tokens per session scan A 6f79fe2387b4
markitdown is a skill published in the GitHub repository matematicsolutions/awesome-matematic-skills-pl (8 stars, last pushed 8d ago), licensed MIT. It adds 105 tokens to every session and 1,393 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
ingestao
Converte documento em markdown estruturado antes de qualquer análise, roteando cada tipo de arquivo para o conversor certo. Use quando o usuário subir ou apontar para PDF, Word, Excel, PowerPoint, EPUB, imagem, áudio ou repositório de código, e quando um PDF científico precisar preservar fórmula, tabela e ordem de…
doc-reader
Read any common document/data file — PDF, Word (.docx), Excel (.xlsx/.xls), PowerPoint (.pptx), images (OCR), CSV/TSV, plain text, JSON/YAML/TOML, HTML/XML, and most source-code files. Use the readdocument tool.
xberg-extracting-tables
Use when extracting tabular data from PDFs, spreadsheets, or images. Covers layout-aware table detection, table model selection, output formats (markdown / JSON cells), and known limits.
kordoc
A command-line and server tool for reading and creating Korean official documents, including HWP, HWPX, PDF, DOCX, and spreadsheet files. It can convert documents to Markdown and create or update HWPX files.
meta-multi-format-export-pack
From one piece of source content, render four deliverables: .docx report, .pptx slides, .xlsx data, and an HTML/PDF public version.
superlinked-docs
Offload document, image, and structured-output work to the Superlinked inference cluster: convert PDF/DOCX/PPTX/XLSX/HTML/scans to clean markdown, describe an image (caption + tags), or produce schema/grammar-constrained JSON off the cluster — instead of ingesting the file directly, which can reduce the tokens billed…