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 opendataloader-pdfgit 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/opendataloader-pdf)<a href="https://agentmods.dev/skills/matematicsolutions/awesome-matematic-skills-pl/opendataloader-pdf"><img src="https://agentmods.dev/badge/skills/matematicsolutions/awesome-matematic-skills-pl/opendataloader-pdf/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/opendataloader-pdf"><img src="https://agentmods.dev/badge/skills/matematicsolutions/awesome-matematic-skills-pl/opendataloader-pdf.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 | $0.00109 | $0.01607 |
| Opus 5.5 | $0.00044 | $0.00643 |
| Sonnet 5.5 | $0.00022 | $0.00321 |
| Haiku 4.5 | $0.00011 | $0.00161 |
Grade A, and why
opendataloader-pdf 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenDataLoader PDF - PDF→JSON/MD (PL)
Java-based (Python wrapper) parser PDF najwyższej jakości dla AI. Benchmarki: NID (reading order), TEDS (tabele), MHS (headings). Używany w pipeline Konwerter/ w vault.
Instalacja (zrobione 2026-04-21)
python -m pip install --user opendataloader-pdf
Python 3.14, opendataloader-pdf 2.2.1. Wymaga Java 17+ (mamy Eclipse Adoptium JDK 17). CLI: python -m opendataloader_pdf albo opendataloader-pdf.exe ze Scripts/.
Wspierane outputy
- JSON (pełna struktura - reading order, bounding boxes, tabele jako 2D arrays) - default
- Markdown (flattened output, gotowy pod LLM)
- HTML (opcjonalnie)
Użycie
CLI - pojedynczy PDF
python -m opendataloader_pdf --input plik.pdf --output output/ --format md
Batch (Obsidian Vault, pipeline Konwerter)
python -m opendataloader_pdf \
--input "%USERPROFILE%/Documents/Obsidian Vault/wszystko co wpada szybko/" \
--output "%USERPROFILE%/Documents/Obsidian Vault/Konwerter/" \
--format md \
--recursive
Zaawansowane flagi
--enrich-formula- wyciąga formuły LaTeX--enrich-picture-description- opis obrazów (wymaga--hybrid-mode full)--filter-hidden-text- wykrywa ukryty tekst (off by default, per-page rendering)
Python API
import opendataloader_pdf
result = opendataloader_pdf.load("plik.pdf", output_format="markdown")
print(result.markdown)
Kiedy użyć vs MarkItDown
| Narzędzie | |
|---|---|
| Prosty, tekst liniowy (blog, artykuł prasowy) | MarkItDown (szybsze) |
| Papers naukowe, raporty z tabelami | OpenDataLoader (jakość) |
| Dokumenty z 2-kolumnowym layoutem | OpenDataLoader (reading order) |
| Multi-page tabele | OpenDataLoader (TEDS) |
| Batch Konwerter/ (domyślnie) | OpenDataLoader |
Integracja z vault
Pipeline Konwerter (istnieje Python script w _vault-management/scripts/):
- PDF wrzucone do
wszystko co wpada szybko/lub dropowane bezpośrednio opendataloader-pdf --input <path> --format md --output Konwerter/- Frontmatter:
type: source-pdf, tags: [pdf, zrodlo]- zgodnie zvault-rules.json→clippings.classification_rules.pdf_source - Powiązane oryginały PDF w folderze
Konwerter/lub Attachments
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 cff36866177d
- 21d ago Changed · +26 lines 4d6620d16907
- 1mo ago First seen · 87 lines · 109 tokens per session scan A 8f0fc7a49bd4
opendataloader-pdf is a skill published in the GitHub repository matematicsolutions/awesome-matematic-skills-pl (8 stars, last pushed 8d ago), licensed MIT. It adds 109 tokens to every session and 1,607 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.
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