pdf

pdf is a skill for Claude Code, Codex from Wide-Moat/open-computer-use. It costs 50 tokens per session (2,360 once invoked), scanned A, original, no licence file.

A toolkit for working with PDF documents, a file format designed to preserve a document's layout. It can extract text and tables, create PDFs, combine or split them, and handle forms.

In plain words
What is it for?
Use it to extract information, create documents, merge or separate pages, and fill in PDF forms.
Why use it?
It removes the need to process PDF pages manually when documents must be read, generated, reorganized, or completed.

Skill for Claude CodeCodex

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/wide-moat/open-computer-use/pdf
Any agent
npx skills add Wide-Moat/open-computer-use --skill pdf
Clone the repo
git clone --depth 1 https://github.com/Wide-Moat/open-computer-use

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.

agentmods badge for pdf

README.md
[![agentmods](https://agentmods.dev/badge/skills/wide-moat/open-computer-use/pdf.svg)](https://agentmods.dev/skills/wide-moat/open-computer-use/pdf)
Your own site
<a href="https://agentmods.dev/skills/wide-moat/open-computer-use/pdf"><img src="https://agentmods.dev/badge/skills/wide-moat/open-computer-use/pdf.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,360 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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.

ModelPer sessionOnce invoked
Fable 5 $0.00050 $0.02360
Opus 5 $0.00025 $0.01180
Sonnet 5 $0.00010 $0.00472
Haiku 4.5 $0.00005 $0.00236

Measured 4d ago against content hash 3d2febfc5fb3, 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 4d ago.

The scan reads SKILL.md. This mod also ships 8 executable files (scripts/check_bounding_boxes_test.py, scripts/check_bounding_boxes.py, scripts/check_fillable_fields.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.

skills/public/pdf/SKILL.md · 365 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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.

  1. 4d ago First seen · 365 lines · 50 tokens per session scan A 3d2febfc5fb3

Subscribe to this mod's changes

pdf is a skill published in the GitHub repository Wide-Moat/open-computer-use (118 stars, last pushed 9d ago), with no licence file. It adds 50 tokens to every session and 2,360 once invoked, about $0.0003 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 2026-08-30.

Related

Other skills, from other repositories

view-document-guide

Guide for the document viewer tools. Use when the user asks to "view document", "display pages", "show document", "document viewer", "view manifest", or wants to visually inspect document pages. Covers reference-code, manifest, and raw-URL entry points.

AI-Riksarkivet/ra-mcp · 58 tokens

pdf-guide

Searches and reads Riksarkivet's archival PDF guides (medieval Sweden, governance 1520-1920, Sami history). Use when user asks about Swedish history, archives, medieval charters, governance, Sami, or wants to open/search PDF guides. Provides section-level references with page numbers for citation.

AI-Riksarkivet/ra-mcp · 67 tokens

foundry-hosted-agent-validation

Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.

microsoft/agent-framework · 82 tokens

pdf-processing

Extract text from PDFs, fill forms, and merge documents.

PrefectHQ/fastmcp · 11 tokens

pdf

Manipulate PDF files — merge, split, extract pages/text, PDF↔images, OCR, info — via the qpdf / poppler / ocrmypdf CLIs. Use to combine, slice, convert, or OCR PDFs.

AtomicBot-ai/atomic-agent · 56 tokens

human-summary

Write a human-readable mathematical progress report (compiled PDF) on a project for the operator / the mathematician who posed the problem. This is NOT elaboration (the internal strategy synthesis) and NOT the dashboard. Render from the fact graph's verified statements/proofs into a clean, self-contained report …

frenzymath/Danus · 103 tokens