unstructured

unstructured is a skill for Claude Code, Codex from SkillDoAI/skilldo. It costs 34 tokens per session (6,668 once invoked), scanned A, original, no licence file.

A Python library that turns unstructured documents and images into structured data for later machine-learning or language-processing work. It supports formats such as PDF, HTML, Word, PowerPoint, and images.

In plain words
What is it for?
Preprocessing documents and images for machine-learning or natural-language-processing tasks.
Why use it?
Information in mixed document formats is difficult to process directly without first extracting its structure.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Preprocessing documents and images for machine-learning or natural-language-processing tasks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/skilldoai/skilldo/unstructured
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 SkillDoAI/skilldo --skill unstructured
Clone the repo
git clone --depth 1 https://github.com/SkillDoAI/skilldo

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 unstructured

README.md
[![agentmods](https://agentmods.dev/badge/skills/skilldoai/skilldo/unstructured/github.svg)](https://agentmods.dev/skills/skilldoai/skilldo/unstructured)
Your own site
<a href="https://agentmods.dev/skills/skilldoai/skilldo/unstructured"><img src="https://agentmods.dev/badge/skills/skilldoai/skilldo/unstructured/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 unstructured

Your own site · 80×15
<a href="https://agentmods.dev/skills/skilldoai/skilldo/unstructured"><img src="https://agentmods.dev/badge/skills/skilldoai/skilldo/unstructured.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,668 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.
Origin unknown 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 $0.00034 $0.06668
Opus 5.5 $0.00014 $0.02667
Sonnet 5.5 $0.00007 $0.01334
Haiku 4.5 $0.00003 $0.00667

Measured 1mo ago against content hash 6dadade51d52, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

unstructured 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.

examples/skills/python/unstructured-SKILL.md · 952 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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 First seen · 952 lines · 34 tokens per session scan A 6dadade51d52

Subscribe to this mod's changes

unstructured is a skill published in the GitHub repository SkillDoAI/skilldo (2 stars, last pushed 25d ago), with no licence file. It adds 34 tokens to every session and 6,668 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 2026-09-17.

Related

Other skills, from other repositories

markitdown

Converts heterogeneous documents and selected URIs to Markdown with Microsoft MarkItDown for text analysis, search, and LLM/RAG ingestion. Covers safe local conversion, streams, Office/PDF/data formats, batch workflows, plugins, vision OCR, Azure extraction, and the official MCP server.

K-Dense-AI/scientific-agent-skills · 62 tokens

paddleocr-text-recognition

An optical character recognition tool configuration for extracting text from images, photos, scans, screenshots, and scanned PDFs. OCR means converting text visible in an image into machine-readable text.

PaddlePaddle/PaddleOCR · 125 tokens

azure-ai-document-intelligence-ts

Extract text, tables, and structured data from documents using Azure Document Intelligence (@azure-rest/ai-document-intelligence). Use when processing invoices, receipts, IDs, forms, or building custom document models.

microsoft/skills · 47 tokens

azure-ai

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.

microsoft/skills · 76 tokens

ingest

Turn external web URLs into LLM-ready content — load + cache web pages (HQCC compression) and search the web. Use whenever the user gives a URL, asks you to read a webpage, or wants top-K pages on a topic. Executes via the cloud load and cloud search CLIs. For local document parsing (PDF text + OCR), use the liteparse…

Prismer-AI/PrismerCloud · 86 tokens

markitdown

Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more.

synthetic-sciences/openscience · 53 tokens