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 skills-il/localization --skill hebrew-ocr-formsgit clone --depth 1 https://github.com/skills-il/localizationWrote 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/skills-il/localization/hebrew-ocr-forms)<a href="https://agentmods.dev/skills/skills-il/localization/hebrew-ocr-forms"><img src="https://agentmods.dev/badge/skills/skills-il/localization/hebrew-ocr-forms/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/skills-il/localization/hebrew-ocr-forms"><img src="https://agentmods.dev/badge/skills/skills-il/localization/hebrew-ocr-forms.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00114 | $0.05891 |
| Opus 5.5 | $0.00046 | $0.02356 |
| Sonnet 5.5 | $0.00023 | $0.01178 |
| Haiku 4.5 | $0.00011 | $0.00589 |
Grade B, and why
hebrew-ocr-forms 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 10d 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.
Solution: Install with `sudo apt-get install tesseract-ocr-heb` (Ubuntu) or `brew install tesseract-lang` (macOS). Verify with `tesseract --list-langs`. How it starts
The opening of the file, as written. The whole thing — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hebrew OCR Forms
Instructions
Step 0: Decide Whether This Needs OCR At All
Check for a text layer first. Most documents gov.il issues today are born-digital PDFs: the land-registry Nesach, a Form 106 exported from payroll software, Bituach Leumi certificates downloaded from the personal area. Run pdftotext -layout file.pdf - (poppler); if it prints real Hebrew, use that text and skip OCR entirely, because OCR can only lose characters that are already exact. Hebrew from some PDFs comes out in visual (reversed) order; re-order it before matching labels. Only image-only pages (scans, phone photos) go through Steps 2-3. The registry's own page states a Nesach is recognized as an original only in its digital form, not when printed, so ask for the PDF instead of re-scanning a printout.
If you can read images yourself (a vision-capable agent), you may read a page directly instead of installing Tesseract, but still run the deterministic checks from Step 6 (ID check digit, owner-share sum) on what you read.
Privacy. These pages carry ID numbers, salaries, tax and benefit data, which is personal data under the Privacy Protection Law (Amendment 13 in force since 14 August 2025, with stronger enforcement powers). Default to local Tesseract. Before sending pages to a cloud OCR or LLM API:
- confirm the data owner allows it, and never send Bituach Leumi disability or maternity letters (medical details) without their explicit consent;
- remember the major cloud engines may process data outside Israel, which the transfer-abroad regulations (תקנות הגנת הפרטיות (העברת מידע אל מאגרי מידע שמחוץ לגבולות המדינה)) govern, and that an office keeping such scans is also subject to the data-security regulations (תקנות הגנת הפרטיות (אבטחת מידע));
- mask ID numbers in any field you do not need, and delete uploaded pages and intermediate images when the job is done;
- for law and accounting offices, client documents are also covered by professional confidentiality.
The output is an unofficial transcription. Every value the scripts emit is an OCR reading, not the issuing authority's record; the JSON carries a notice field, and the Nesach CSV ends with a notice row saying the same. Never present the CSV as the Nesach itself, and give no opinion on what an entry (a caution, an attachment, an order) means for a transaction.
What ships with it
10 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.
- evidence.json 28 KB
- metadata.json 2.0 KB
- optimization-log.json 3.2 KB
- references/domain-checklist.md 6.9 KB
- references/israeli-form-types.md 5.5 KB
- references/nesach-tabu-structure.md 9.3 KB
- scripts/extract_form_fields.py 21 KB runs code
- scripts/preprocess_image.py 10 KB runs code
- scripts/tabu_to_spreadsheet.py 25 KB runs code
- SKILL_HE.md 31 KB
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.
- 10d ago Changed · +31 lines 0e0ba2e7ab00
- 1mo ago First seen · 204 lines · 114 tokens per session scan B d386e172cc29
hebrew-ocr-forms is a skill published in the GitHub repository skills-il/localization (26 stars, last pushed 10d ago), licensed MIT. It adds 114 tokens to every session and 5,891 once invoked, about $0.0005 per session on Opus 5.5. 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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