A PDF file tool for creating, reading, extracting, editing, combining, splitting, filling, and securing PDF documents.

Use it to create reports and forms, extract text or tables, fill fields, merge or split files, add watermarks, and export pages as images.

It handles common PDF operations, including scanned documents that need OCR, without requiring manual page-by-page work.

pdf — Skill for Claude Code and Codex by NousResearch: A PDF file tool for creating, reading, extracting, editing…

About the project

Hermes Agent is an AI assistant that learns from its use by creating and improving skills, retaining knowledge, searching past conversations, and adapting to its users. It is for people who want to run an agent through a terminal or messaging platforms while connecting it to different AI models and scheduled tasks.

NousResearch/hermes-agent · 241,505 stars · on GitHub

Install

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.

agentmods

npx agentmods add skills/nousresearch/hermes-agent/pdf

Any agent

npx skills add NousResearch/hermes-agent --skill pdf

Clone the repo

git clone --depth 1 https://github.com/NousResearch/hermes-agent

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/nousresearch/hermes-agent/pdf.svg)](https://agentmods.dev/skills/nousresearch/hermes-agent/pdf)

Your own site

<a href="https://agentmods.dev/skills/nousresearch/hermes-agent/pdf"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/pdf.svg" alt="Measured on agentmods" height="20"></a>

Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,155 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00018	$0.03155
Opus 5	$0.00009	$0.01577
Sonnet 5	$0.00004	$0.00631
Haiku 4.5	$0.00002	$0.00315

Measured yesterday against content hash c16b9c159a3a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 yesterday.

The scan reads SKILL.md. This mod also ships 16 executable files (scripts/_raster.py, scripts/extract_marker.py, scripts/extract_pymupdf.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

pdf — 89% identical, 19 lines differ
pdf — 89% identical, 19 lines differ

skills/productivity/pdf/SKILL.md · 126 lines

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's pdftoppm on 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.

Read the full file on GitHub · 126 lines

Files

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.

Changes

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.

yesterday First seen · 126 lines · 18 tokens per session scan A c16b9c159a3a

Subscribe to this mod's changes

pdf is a skill published in the GitHub repository NousResearch/hermes-agent (241,505 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. 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 2026-09-03.

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