liteparse

liteparse is a skill for Claude Code, Codex from synthetic-sciences/openscience. It costs 49 tokens per session (1,553 once invoked), scanned A, original, Apache-2.0.

A local parser for extracting text and layout information from PDFs, office files, and images without sending them to a cloud service.

In plain words
What is it for?
Use it to extract text or spatial content from PDF, DOCX, PPTX, XLSX, and image files, with options such as output format, page ranges, OCR, and image resolution.
Why use it?
It removes the need to write a separate parser for each document format or depend on an online processing service. It can prepare unstructured files for further analysis.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to extract text or spatial content from PDF, DOCX, PPTX, XLSX, and image files, with options such as output format, page ranges, OCR, and image resolution.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/synthetic-sciences/openscience/liteparse
About the project

synthetic-sciences/openscience is an AI workbench that carries out scientific research by reading papers, forming hypotheses, writing and running code, conducting experiments, analyzing results, and preparing reports. Researchers use it for work in machine learning, biology, physics, and chemistry with remote or local models. Catalogue add-ons extend its scientific workflows through skills and instructions.

synthetic-sciences/openscience · 4,121 stars · on GitHub · openscience.sh

Install

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.

Any agent
npx skills add synthetic-sciences/openscience --skill liteparse
Clone the repo
git clone --depth 1 https://github.com/synthetic-sciences/openscience

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for liteparse

README.md
[![agentmods](https://agentmods.dev/badge/skills/synthetic-sciences/openscience/liteparse/github.svg)](https://agentmods.dev/skills/synthetic-sciences/openscience/liteparse)
Your own site
<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/liteparse"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/liteparse/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.

agentmods 80×15 button for liteparse

Your own site · 80×15
<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/liteparse"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/liteparse.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,553 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.01553
Opus 5.5 $0.00020 $0.00621
Sonnet 5.5 $0.00010 $0.00311
Haiku 4.5 $0.00005 $0.00155

Measured 1mo ago against content hash cd1bb89600d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

liteparse 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.

backend/cli/skills/document-parsing/liteparse/SKILL.md · 230 lines

How it starts

The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LiteParse Skill

Parse unstructured documents (PDF, DOCX, PPTX, XLSX, images, and more) locally with LiteParse: fast, lightweight, no cloud dependencies or LLM required.

Initial Setup

When this skill is invoked, respond with:

I'm ready to use LiteParse to parse files locally. Before we begin, please confirm that:

- `@llamaindex/liteparse` is installed globally (`npm i -g @llamaindex/liteparse`)
- The `lit` CLI command is available in your terminal

If both are set, please provide:

1. One or more files to parse (PDF, DOCX, PPTX, XLSX, images, etc.)
2. Any specific options: output format (json/text), page ranges, OCR preferences, DPI, etc.
3. What you'd like to do with the parsed content.

I will produce the appropriate `lit` CLI command or TypeScript script, and once approved, report the results.

Then wait for the user's input.


Step 0 — Install LiteParse (if needed)

If liteparse is not yet installed, install it globally:

npm i -g @llamaindex/liteparse

Verify installation:

lit --version

For Office document support (DOCX, PPTX, XLSX), LibreOffice is required:

# macOS
brew install --cask libreoffice

# Ubuntu/Debian
apt-get install libreoffice

For image parsing, ImageMagick is required:

# macOS
brew install imagemagick

# Ubuntu/Debian
apt-get install imagemagick

Step 1 — Produce the CLI Command or Script

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

Read the full file on GitHub · 230 lines

Changes

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.

  1. 1mo ago Changed · +7 lines cd1bb89600d2
  2. 1mo ago First seen · 223 lines · 49 tokens per session scan A 9da9795b5846

Subscribe to this mod's changes

liteparse is a skill published in the GitHub repository synthetic-sciences/openscience (4,121 stars, last pushed yesterday), licensed Apache-2.0. It adds 49 tokens to every session and 1,553 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 2026-09-03.