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/opencoven/coven/ocrnpx skills add OpenCoven/coven --skill ocrgit clone --depth 1 https://github.com/OpenCoven/covenWhat 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 | $0.00063 | $0.00735 |
| Opus 5 | $0.00032 | $0.00367 |
| Sonnet 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 2d 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.
- 2d ago First seen · 71 lines · 63 tokens per session scan A e94193782e06
ocr is a skill published in the GitHub repository OpenCoven/coven (41 stars, last pushed 2d ago), licensed MIT. It adds 63 tokens to every session and 735 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.
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