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 unclutter-pro/atlas --skill document-parsegit clone --depth 1 https://github.com/unclutter-pro/atlasWrote 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/unclutter-pro/atlas/document-parse)<a href="https://agentmods.dev/skills/unclutter-pro/atlas/document-parse"><img src="https://agentmods.dev/badge/skills/unclutter-pro/atlas/document-parse/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/unclutter-pro/atlas/document-parse"><img src="https://agentmods.dev/badge/skills/unclutter-pro/atlas/document-parse.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 | $0.00037 | $0.01271 |
| Opus 5.5 | $0.00015 | $0.00508 |
| Sonnet 5.5 | $0.00007 | $0.00254 |
| Haiku 4.5 | $0.00004 | $0.00127 |
Grade A, and why
document-parse 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 26d 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Document to Text
Parse unstructured documents (PDF, DOCX, PPTX, XLSX, images, and more) locally with LiteParse (fast local OCR).
For spreadsheets that require calculation or exact cell values, use xlsx. For Word revisions/comments use docx; for slide notes or layout use pptx. LiteParse is for reading text, not a lossless representation of those formats. Its default output is plain text; JSON adds layout coordinates.
Parse a Single File
# Basic text extraction
lit parse document.pdf
# JSON output saved to a file
lit parse document.pdf --format json -o output.json
# Specific page range
lit parse document.pdf --target-pages "1-5,10,15-20"
# Disable OCR (faster, text-only PDFs)
lit parse document.pdf --no-ocr
# Use an external HTTP OCR server for higher accuracy
lit parse document.pdf --ocr-server-url http://localhost:8828/ocr
# Higher DPI for better quality
lit parse document.pdf --dpi 300
Batch Parse a Directory
lit batch-parse ./input-directory ./output-directory
# Only process PDFs, recursively
lit batch-parse ./input ./output --extension .pdf --recursive
Generate Page Screenshots
Screenshots are useful for LLM agents that need to see visual layout or to extract pages as screenshots.
# All pages
lit screenshot document.pdf -o ./screenshots
# Specific pages
lit screenshot document.pdf --pages "1,3,5" -o ./screenshots
# High-DPI PNG
lit screenshot document.pdf --dpi 300 --format png -o ./screenshots
# Page range
lit screenshot document.pdf --pages "1-10" -o ./screenshots
Key Options Reference
OCR Options
| Option | Description |
|---|---|
| (default) | Tesseract.js — zero setup, built-in |
--ocr-language fra |
Set OCR language (ISO code) |
--ocr-server-url <url> |
Use external HTTP OCR server (EasyOCR, PaddleOCR, custom) |
--no-ocr |
Disable OCR entirely |
Output Options
| Option | Description |
|---|---|
--format json |
Structured JSON with bounding boxes |
--format text |
Plain text (default) |
-o <file> |
Save output to file |
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.
- 26d ago Changed · +2 lines · -188 tokens per session 399ae70c33c9
- 1mo ago First seen · 145 lines · 225 tokens per session scan A 5ce94ac6ced8
document-parse is a skill published in the GitHub repository unclutter-pro/atlas (2 stars, last pushed 4d ago), licensed MIT. It adds 37 tokens to every session and 1,271 once invoked, about $0.0001 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 2026-08-31.
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