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 skills add OpenCoven/coven --skill ocrgit clone --depth 1 https://github.com/OpenCoven/covenWrote 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/opencoven/coven/ocr)<a href="https://agentmods.dev/skills/opencoven/coven/ocr"><img src="https://agentmods.dev/badge/skills/opencoven/coven/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.
<a href="https://agentmods.dev/skills/opencoven/coven/ocr"><img src="https://agentmods.dev/badge/skills/opencoven/coven/ocr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00063 | $0.00735 |
| Opus 5.5 | $0.00025 | $0.00294 |
| Sonnet 5.5 | $0.00013 | $0.00147 |
| Haiku 4.5 | $0.00006 | $0.00073 |
Grade A, and why
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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OCR
Use this skill to extract text from local screenshots, images, scans, and PDFs with a repeatable workflow.
Quick start
Prefer the bundled helper when the user needs exact-ish text extraction from a local file:
python3 ~/.openclaw/workspace/skills/ocr/scripts/ocr.py <path> --format text
Useful variants:
# Structured output with per-line confidence/bounding boxes
python3 ~/.openclaw/workspace/skills/ocr/scripts/ocr.py screenshot.png --format json
# Markdown output from a scanned PDF, OCRing up to the first 5 pages
python3 ~/.openclaw/workspace/skills/ocr/scripts/ocr.py scan.pdf --force-ocr --max-pages 5 --format markdown
# Multiple languages for macOS Vision OCR
python3 ~/.openclaw/workspace/skills/ocr/scripts/ocr.py receipt.jpg --languages en-US,es-ES --format text
Workflow
- Locate the file. If the image/PDF is attached in chat, use the local attachment path the runtime provides.
- For a single image or scanned PDF, run
scripts/ocr.py. - For text-native PDFs, let
ocr.pyusepdftotextfirst; only use--force-ocrwhen the PDF is a scan or the extracted text is wrong. - Inspect output before relying on it. OCR can confuse punctuation, columns, totals, handwriting, low contrast, and small text.
- If the user needs high confidence, run JSON output and mention low-confidence lines or ambiguous characters.
- If the user asks for a clean transcript, lightly normalize whitespace but do not silently rewrite wording.
Tool choices
- Use
scripts/ocr.pyfor local images/PDFs and repeatable extraction. - Use the model
imagetool when the user asks for visual understanding, layout interpretation, or when OCR output alone is not enough. - Use
pdftotextdirectly only for text-native PDFs when no OCR is needed.
Script behavior
scripts/ocr.py supports:
- image inputs: PNG, JPEG, TIFF, BMP, GIF, WebP, HEIC/HEIF
- PDF inputs: embedded text via
pdftotext, scanned pages viapdftoppm+ macOS Vision OCR - directory inputs: processes supported files in sorted order
- output formats:
text,json,markdown
What ships with it
2 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.
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.
- 1mo ago First seen · 71 lines · 63 tokens per session scan A e94193782e06
ocr is a skill published in the GitHub repository OpenCoven/coven (72 stars, last pushed today), licensed MIT. It adds 63 tokens to every session and 735 once invoked, about $0.0003 per session on Opus 5.5. 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.
Other skills, from other repositories
Read, extract, split, merge, rotate, watermark, fill, OCR, or create PDF files with verification of page counts and text extraction.
pdf-editing
Use the bundled tools; do not install nano-pdf, pypdf, qpdf, Poppler, or another PDF package during a task.
pdfcraft
Headless PDF work with PdfCraft, provisioned on demand by pi-craft - combine, split, extract, rotate, delete and reorder pages, read text, render a page to png, audit faux redactions, script its 163 tools. Use for "merge these two PDFs", "extract pages 1 and 3 from this PDF", "rotate page 1 and drop page 2", "what…
craft-data-visual
Turn data into a finished visual with ArtCraft apps - GridCraft workbook with a formula-error read-back, chart, VectorCraft/DesignCraft infographic, DeckCraft slide; verified and resumable. Use for "make a chart from this spreadsheet", "build an infographic from these numbers", "put the revenue chart on a slide".
pdf-processor
Extracts text and tables from PDF files, fills forms, and merges documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.
craft-deck
Turn an outline into a presentation with ArtCraft apps - DeckCraft slides from the outline, optional transition previews, a PdfCraft handout; or, on request, an HTML deck with deck3d instead; verified and resumable. Use for "make a deck from this outline", "build a 6-slide presentation about our Q3 results", "export…