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 agentmods add skills/aidotnet/opencowork/image-ocrnpx skills add AIDotNet/OpenCowork --skill image-ocrgit clone --depth 1 https://github.com/AIDotNet/OpenCoworkWrote 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/aidotnet/opencowork/image-ocr)<a href="https://agentmods.dev/skills/aidotnet/opencowork/image-ocr"><img src="https://agentmods.dev/badge/skills/aidotnet/opencowork/image-ocr.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.00986 |
| Opus 5 | $0.00025 | $0.00493 |
| Sonnet 5 | $0.00010 | $0.00197 |
| Haiku 4.5 | $0.00005 | $0.00099 |
Grade B, and why
image-ocr scanned grade B with 1 finding 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 6d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
- **Linux (Ubuntu/Debian)**: `sudo apt install tesseract-ocr` How it starts
The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image OCR
Extract text from images using Tesseract OCR via Python.
When to use this skill
- User asks to read or extract text from an image
- User has a screenshot with text they want to process
- User has scanned documents that need text extraction
- User wants to digitize text from photos
Scripts overview
| Script | Purpose | Dependencies |
|---|---|---|
ocr_extract.py |
Extract text from images with multiple options | pytesseract, Pillow |
Steps
1. Install dependencies (first time only)
Install the Python packages:
pip install pytesseract Pillow
Install Tesseract OCR engine:
- Windows: Download installer from https://github.com/UB-Mannheim/tesseract/wiki
- macOS:
brew install tesseract - Linux (Ubuntu/Debian):
sudo apt install tesseract-ocr - Linux (Fedora):
sudo dnf install tesseract
For additional language support:
- Windows: Select languages during installation
- Linux:
sudo apt install tesseract-ocr-chi-sim(Chinese Simplified),tesseract-ocr-jpn(Japanese), etc.
CRITICAL — Dependency Error Recovery: If the script fails with an
ImportErroror "tesseract not found" error, install the missing dependencies using the commands above, then re-run the EXACT SAME script command that failed.
2. Extract text from an image
python scripts/ocr_extract.py "IMAGE_PATH"
Options:
--lang LANG— OCR language (default:eng). Usechi_simfor Chinese,jpnfor Japanese,eng+chi_simfor multiple.--save OUTPUT_PATH— Save extracted text to a file--preprocess MODE— Image preprocessing:none(default),grayscale,threshold,blur--dpi DPI— Set image DPI for better accuracy (default: auto-detect)--psm MODE— Tesseract page segmentation mode (0-13, default: 3 = auto)
Examples:
# Basic text extraction
python scripts/ocr_extract.py "screenshot.png"
# Chinese text extraction
python scripts/ocr_extract.py "document.jpg" --lang chi_sim
# Mixed English and Chinese
python scripts/ocr_extract.py "mixed.png" --lang eng+chi_sim
# Preprocess noisy image for better accuracy
python scripts/ocr_extract.py "noisy_scan.png" --preprocess threshold
# Save output to file
python scripts/ocr_extract.py "scan.tiff" --save output.txt
# Single line of text (e.g., license plate, serial number)
python scripts/ocr_extract.py "plate.jpg" --psm 7
What ships with it
1 file 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.
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.
- 6d ago First seen · 107 lines · 50 tokens per session scan B f8316b11d533
image-ocr is a skill published in the GitHub repository AIDotNet/OpenCowork (634 stars, last pushed 2d ago), licensed Apache-2.0. It adds 50 tokens to every session and 986 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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