Borrowing it
Nothing to install: this file belongs to nerds-odd-e/doughnut. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/nerds-odd-e/doughnut/main/.agents/skills/e2e-ocr/SKILL.mdgit clone --depth 1 https://github.com/nerds-odd-e/doughnutWrote 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/nerds-odd-e/doughnut/e2e-ocr)<a href="https://agentmods.dev/skills/nerds-odd-e/doughnut/e2e-ocr"><img src="https://agentmods.dev/badge/skills/nerds-odd-e/doughnut/e2e-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/nerds-odd-e/doughnut/e2e-ocr"><img src="https://agentmods.dev/badge/skills/nerds-odd-e/doughnut/e2e-ocr.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 | $0.00041 | $0.00400 |
| Opus 5.5 | $0.00016 | $0.00160 |
| Sonnet 5.5 | $0.00008 | $0.00080 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
e2e-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.
What it actually says
E2E OCR Rules
Use this skill when asserting text that is not in the DOM, such as PDF content drawn only to <canvas>. Keep OCR in test infrastructure, not product code.
Tesseract Setup
- Use
tesseract.js, a root devDependency, for canvas-only assertions viacy.task. - Register a Node task in
e2e_test/config/common.ts. - The task should call
tesseract.jscreateWorkerandrecognizeon image bytes, such as base64 PNG without thedata:image/png;base64,prefix. - Example task name:
ocrCanvasImage.
Language Data
- Commit
e2e_test/tesseract/eng.traineddatauncompressed. - Pass
langPathandcachePathto that directory when creating the worker. - This prevents Tesseract from writing
eng.traineddatato the repo root. Root-level traineddata files are gitignored as a fallback.
Page Object Pattern
- Wait until the canvas has real ink before OCR. Sampling
getImageDatafor dark pixels is better than checking only non-zero alpha, because an empty white fill can still have alpha. - Export with
toDataURL("image/png"). - Strip the data URL prefix.
- Use
cy.task(..., { timeout: ... })for slow OCR. - Assert the returned string contains the expected substring with a clear message.
- Reference:
e2e_test/start/pageObjects/bookReadingPage.ts, fromexpectPdfBeginningVisiblethroughexpectCurrentPage(1).expectVisibleOCRContains.
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 · 32 lines · 41 tokens per session scan A 309d62635643
e2e-ocr is a skill published in the GitHub repository nerds-odd-e/doughnut (50 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 400 once invoked, about $0.0002 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 2026-09-17.
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