read-ocr

read-ocr is a skill for Claude Code, Codex from SpaceZephyr/read-buddy. It costs 46 tokens per session (1,438 once invoked), scanned A, original, no licence file.

A text-extraction tool for images, PDFs, documents, online links, and local files. It uses OCR, which means recognizing written or printed text from an image, and returns structured results with confidence and quality information.

In plain words
What is it for?
Use it to extract text from screenshots, scans, PDFs, documents, URLs, and local files, then inspect the returned text and quality measures.
Why use it?
It removes the need to retype text from scanned files or images and helps show how reliable the recognition was.

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/spacezephyr/read-buddy/read-ocr
Any agent
npx skills add SpaceZephyr/read-buddy --skill read-ocr
Clone the repo
git clone --depth 1 https://github.com/SpaceZephyr/read-buddy

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 read-ocr

README.md
[![agentmods](https://agentmods.dev/badge/skills/spacezephyr/read-buddy/read-ocr.svg)](https://agentmods.dev/skills/spacezephyr/read-buddy/read-ocr)
Your own site
<a href="https://agentmods.dev/skills/spacezephyr/read-buddy/read-ocr"><img src="https://agentmods.dev/badge/skills/spacezephyr/read-buddy/read-ocr.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,438 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 $0.00046 $0.01438
Opus 5 $0.00023 $0.00719
Sonnet 5 $0.00009 $0.00288
Haiku 4.5 $0.00005 $0.00144

Measured 4d ago against content hash 9f92b9d46fef, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

read-ocr 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.

read-ocr/SKILL.md · 203 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 · 203 lines · 46 tokens per session scan A 9f92b9d46fef

Subscribe to this mod's changes

read-ocr is a skill published in the GitHub repository SpaceZephyr/read-buddy (62 stars, last pushed 2mo ago), with no licence file. It adds 46 tokens to every session and 1,438 once invoked, about $0.0002 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

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

paddleocr-doc-parsing

Use this skill to extract structured Markdown/JSON from PDFs and document images—tables with cell-level precision, formulas as LaTeX, figures, seals, charts, headers/footers, multi-column layout and correct reading order. Trigger terms: 文档解析, 版面分析, 版面还原, 表格提取, 公式识别, 多栏排版, 扫描件结构化, 发票, 财报, 复杂 PDF, PDF转Markdown, 图表…

PaddlePaddle/PaddleOCR · 140 tokens

paper-reader

Use when user asks to "read paper", "analyze paper", "summarize paper", "读论文", "分析文献", "帮我看一下这篇paper", "论文笔记", or provides a PDF file that appears to be an academic paper. Specialized for CV/DL papers. Also supports Zotero integration: "读一下这篇论文 ...", "快速看一下这篇论文 ...", "批判性分析这篇论文 ...", "读一下 Zotero 里的 XXX", "批量读一下 Zotero…

huangkiki/dailypaper-skills · 157 tokens

citra

Skill "citra" from SylphxAI/pdf-reader-mcp, covering citra — pdf evidence for agents, install, or, tools and sdk.

SylphxAI/pdf-reader-mcp · 0 tokens

graphic-ebook

Creates professionally designed B2B SaaS e-books in HTML + CSS, exported as print-ready PDF. 3–10 pages, 9 style presets, 11 page layout types. Trigger when user says "create an ebook", "design a lead magnet", "make a PDF guide", "build a gated content piece", "write a B2B ebook", "design a white paper", "create a…

Varnan-Tech/opendirectory · 97 tokens

pdf-fill

Fill PDF form fields from a data dict.

hardness1020/awesome-agent-architecture · 12 tokens