What is deepread-ocr?

A document-reading service that turns scanned pages and images into structured text and data. It can process invoices, receipts, forms, and batches of documents.

Use it to extract text and fields from scanned documents or images, process invoices and receipts, and digitize many documents at once.

It reduces the need to copy information from documents by hand. It also marks uncertain fields for review instead of treating every extracted value as equally reliable.

deepread-ocr — Skill for Claude Code and Codex by SKYLENAGE-AI

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.

Any agent

npx skills add SKYLENAGE-AI/QwenClawBench --skill deepread-ocr

Clone the repo

git clone --depth 1 https://github.com/SKYLENAGE-AI/QwenClawBench

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/skylenage-ai/qwenclawbench/deepread-ocr/github.svg)](https://agentmods.dev/skills/skylenage-ai/qwenclawbench/deepread-ocr)

Your own site

<a href="https://agentmods.dev/skills/skylenage-ai/qwenclawbench/deepread-ocr"><img src="https://agentmods.dev/badge/skills/skylenage-ai/qwenclawbench/deepread-ocr/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/skylenage-ai/qwenclawbench/deepread-ocr"><img src="https://agentmods.dev/badge/skills/skylenage-ai/qwenclawbench/deepread-ocr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 121 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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 5.1	$0.00000	$0.00121
Opus 5.5	$0.00000	$0.00048
Sonnet 5.5	$0.00000	$0.00024
Haiku 4.5	$0.00000	$0.00012

Measured 2mo ago against content hash 3a6bc00279cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deepread-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 2mo 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.

data/qwenclawbench-v1.1-100/assets/task_00018_memos_discovery_and_workspace_bootstrap/home/admin/clawd/skills/deepread-ocr/SKILL.md · 20 lines

What it actually says

DeepRead OCR

AI-native OCR platform that turns documents into high-accuracy data in minutes. Using multi-model consensus, DeepRead achieves 95%+ accuracy and flags only uncertain fields for review.

When to Use

Extracting text from scanned documents or images
Processing invoices, receipts, forms
Batch document digitization

Configuration

deepread:
  api_key: "${DEEPREAD_API_KEY}"
  endpoint: "https://api.deepread.ai/v1"
  consensus_models: 3
  confidence_threshold: 0.95

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.

2mo ago First seen · 20 lines · 0 tokens per session scan A 3a6bc00279cc

Subscribe to this mod's changes

deepread-ocr is a skill published in the GitHub repository SKYLENAGE-AI/QwenClawBench (61 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 121 tokens. 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.

Documents

deepread-ocr next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
deepread-ocrSKYLENAGE-AI/QwenClawBench	Skill	61	5mo ago	MIT	A	0	Claude Code, Codex
orbit-notionnexu-io/open-design	Skill	107k	today	Apache-2.0	A	117	Claude Code, Codex
instrument-data-to-allotropeanthropics/knowledge-work-plugins	Skill	35k	2d ago	Apache-2.0	A	123	Claude Code
apify-youtube-transcript-scrapersickn33/agentic-awesome-skills	Skill	49k	today	MIT	A	48	Claude Code
legal-holdanthropics/claude-for-legal	Skill	10.0k	yesterday	Apache-2.0	A	68	Claude Code
report-to-pdfasgeirtj/system_prompts_leaks	Skill	71k	yesterday	CC0-1.0	A	17	Claude Code, Codex
artifact-template-minimal-letterheadasgeirtj/system_prompts_leaks	Skill	71k	yesterday	CC0-1.0	A	54	Claude Code, Codex