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 first-fluke/fullstack-starter --skill oma-pdfgit clone --depth 1 https://github.com/first-fluke/fullstack-starterWrote 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/first-fluke/fullstack-starter/oma-pdf)<a href="https://agentmods.dev/skills/first-fluke/fullstack-starter/oma-pdf"><img src="https://agentmods.dev/badge/skills/first-fluke/fullstack-starter/oma-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/first-fluke/fullstack-starter/oma-pdf"><img src="https://agentmods.dev/badge/skills/first-fluke/fullstack-starter/oma-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 | $0.00033 | $0.02027 |
| Opus 5.5 | $0.00013 | $0.00811 |
| Sonnet 5.5 | $0.00007 | $0.00405 |
| Haiku 4.5 | $0.00003 | $0.00203 |
Grade A, and why
oma-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 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.
This is a copy
100% identical to oma-pdf — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDF Skill - PDF to Markdown Conversion
Scheduling
Goal
Convert PDF files into structured Markdown or another requested extraction format while preserving readable document structure for LLM context, RAG, or downstream review.
Intent signature
- User asks to convert, parse, read, extract, or transform a PDF.
- User needs PDF text, headings, lists, tables, or images prepared for AI consumption.
- User mentions "PDF to markdown", "parse PDF", "read this PDF", or equivalent wording.
When to use
- Converting PDF documents to Markdown for LLM context or RAG
- Extracting structured content such as tables, headings, lists, images, footnotes, or hyperlinks
- Preparing PDF data for AI consumption
- Checking whether a PDF has a text layer before choosing OCR
When NOT to use
- Generating or creating PDFs -> use document-generation tools
- Editing existing PDFs -> out of scope
- Reading an already-text file -> use direct file reading
- Processing HWP, HWPX, DOCX, XLSX, or slide decks -> use the matching document skill
Expected inputs
input_path: PDF file or folder pathoutput_dir: optional target directoryformat: optional output format, defaultmarkdownocr_languages: optional OCR language list for scanned or image-based PDFsextraction_options: optional flags for tagged structure, image extraction, or hybrid conversion
Expected outputs
- Markdown, text, JSON, HTML, or combined extraction output
- Normalized Markdown when Markdown is produced
- A short report with output path, page count, and conversion issues
Dependencies
uvx opendataloader-pdffor standard conversionuvx --from "opendataloader-pdf[hybrid]" opendataloader-pdf-hybridfor OCR or hybrid conversion (the hybrid server is a console script of the[hybrid]extra, not a standalone package)uvx mdformatfor Markdown normalization- Local filesystem access to input and output paths
- Optional OCR runtime via the hybrid server
Control-flow features
- Branches on text-layer quality, tagged PDF availability, scan/OCR needs, and user-requested output format
- Calls external CLI tools through
uvx - Reads local files and writes local extraction outputs
- Uses a hybrid server only when OCR or complex extraction needs justify it
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.
- 1mo ago Changed · -3 lines · -19 tokens per session b9c96e18520b
- 1mo ago Changed 97f2b0d0ebae
- 1mo ago First seen · 165 lines · 52 tokens per session scan A 3d21aae7e3dd
oma-pdf is a skill published in the GitHub repository first-fluke/fullstack-starter (224 stars, last pushed 7d ago), licensed MIT. It adds 33 tokens to every session and 2,027 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to oma-pdf, differing in 0 lines, and is treated as a copy.
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create-office-document
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docs-converting-pdf-to-markdown
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office-tools
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Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and…