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 cyborg-garden/hermes-agent-mt --skill pdfgit clone --depth 1 https://github.com/cyborg-garden/hermes-agent-mtWrote 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/cyborg-garden/hermes-agent-mt/pdf)<a href="https://agentmods.dev/skills/cyborg-garden/hermes-agent-mt/pdf"><img src="https://agentmods.dev/badge/skills/cyborg-garden/hermes-agent-mt/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/cyborg-garden/hermes-agent-mt/pdf"><img src="https://agentmods.dev/badge/skills/cyborg-garden/hermes-agent-mt/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 | $0.00018 | $0.03155 |
| Opus 5.5 | $0.00007 | $0.01262 |
| Sonnet 5.5 | $0.00004 | $0.00631 |
| Haiku 4.5 | $0.00002 | $0.00315 |
Grade A, and why
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 4d 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 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDF Skill
Create PDFs from structured specs, build and fill AcroForm forms (with layout linting and visual overlays), extract text/tables/metadata, merge/split/rotate/watermark/stamp pages, export page images, manage metadata and attachments, and encrypt/decrypt — using pypdf, reportlab, and pdfplumber. Two absorbed capabilities live in references/ (read the matching file before those tasks):
- Scanned/image-only PDFs and OCR (pymupdf fast path, marker-pdf quality path, scripts/extract_pymupdf.py + scripts/extract_marker.py):
references/ocr-extraction.md - Editing text inside an existing PDF via natural-language prompts (nano-pdf CLI):
references/nano-pdf-editing.md
When to Use
- Generate a report, invoice, or multi-page document as PDF.
- Build a fillable AcroForm (text/checkbox/radio/dropdown) from a JSON spec, linting the layout first.
- Pull text, tables (JSON/CSV), metadata, or form-field values out of a PDF.
- Merge, split, rotate, extract page subsets, watermark, stamp text/images at coordinates, bookmark, or compress PDFs.
- Export pages as PNGs for visual review or for OCR hand-off; set/clear document metadata; add/extract file attachments.
- Fill or flatten AcroForm forms; encrypt or decrypt with passwords.
- NOT for scanned/image-only PDFs (use
references/ocr-extraction.md) and NOT for pixel-perfect HTML-to-PDF rendering (use a headless browser).
Prerequisites
- Python 3.10+ with
pypdf,reportlab,pdfplumber:python -m pip install pypdf reportlab pdfplumber - Optional, for page rasterization (
pdf_page_image.py, overlay rendering):python -m pip install pypdfium2, or poppler'spdftoppmon PATH. Scripts fall back pypdfium2 → pdftoppm and report{"rendered": false, "missing": [...]}(exit 0) when neither exists. - Each helper script checks imports lazily and prints an install hint if a dependency is missing.
How to Run
All helpers live in scripts/ and are argparse CLIs — run them with the terminal tool; every one supports --help. They read/write JSON strictly as UTF-8, print JSON results to stdout, and exit non-zero on failure.
What ships with it
20 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.
- LICENSE 1.0 KB
- references/forms.md 3.9 KB
- references/nano-pdf-editing.md 1.3 KB
- references/ocr-extraction.md 5.5 KB
- scripts/_raster.py 2.6 KB runs code
- scripts/extract_marker.py 3.4 KB runs code
- scripts/extract_pymupdf.py 3.6 KB runs code
- scripts/pdf_create.py 4.5 KB runs code
- scripts/pdf_fill_form.py 3.8 KB runs code
- scripts/pdf_form_layout.py 7.0 KB runs code
- scripts/pdf_make_form.py 5.8 KB runs code
- scripts/pdf_merge.py 1.6 KB runs code
- scripts/pdf_meta.py 4.4 KB runs code
- scripts/pdf_page_image.py 3.5 KB runs code
- scripts/pdf_read.py 5.8 KB runs code
- scripts/pdf_secure.py 2.6 KB runs code
- scripts/pdf_split.py 3.0 KB runs code
- scripts/pdf_stamp.py 5.6 KB runs code
- scripts/pdf_watermark.py 1.8 KB runs code
- tests/test_pdf_skill.py 17 KB runs code
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.
- 4d ago First seen · 126 lines · 18 tokens per session scan A c16b9c159a3a
pdf is a skill published in the GitHub repository cyborg-garden/hermes-agent-mt (14 stars, last pushed today), licensed MIT. It adds 18 tokens to every session and 3,155 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 pdf, differing in 0 lines, and is treated as a copy.
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Make or change a Word document (.docx), a PDF, a PowerPoint deck (.pptx) or an Excel workbook (.xlsx) by writing a Python script that surfsenserenderdocument runs, optionally starting from a source's own Word or PowerPoint file. Load it whenever the user asks for one of these, or for a change to one you made.
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Extract text, tables, and structured data from documents using Azure Document Intelligence (@azure-rest/ai-document-intelligence). Use when processing invoices, receipts, IDs, forms, or building custom document models.