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unstract

Skill Infrastructure Usable
Works inClaude Code
Usable Scanned — metadata only

Reduces manual data extraction work and pipeline brittleness by automating document and unstructured data parsing at scale, cutting ETL maintenance costs and…

LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows

6,714 starsAGPL-3.0 (check with legal)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Reduces manual data extraction work and pipeline brittleness by automating document and unstructured data parsing at scale, cutting ETL maintenance costs and improving data quality consistency.

DevOps teams and data engineers building ETL pipelines that process variable document formats or unstructured sources.

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https://github.com/Zipstack/unstract

By Zipstack

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install Zipstack/unstract

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me extract structured data from invoices and receipts in my document processing pipeline
CostFree

Trust Signals Auto-scanned

Stars6,714Last updated2026-07-23LicenseAGPL-3.0 (check with legal)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-23 · scanner v1

Community Pulse New

3 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 6,714 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
  • License (AGPL-3.0) may restrict commercial use. Check with your legal team.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
2/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.15 / 5.00 UsableEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 6,714 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.

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