Skill comparison
Compare agent skills before installing.
Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
PaddleOCR is the strongest overall pick here because it has a 100/100 readiness score and fits Document processing.
Strongest overall
PaddleOCR
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
PaddleOCR
Best first install candidate based on install readiness and adoption.
Freshest repo
PaddleOCR
Most recent maintenance signal among this shortlist.
| Signal | OpenOCR OpenOCR: An Open-Source Toolkit for General-OCR Research and Applications, integrates a unified training and evaluation benchmark, commercial-grade OCR and Document Parsing systems, and faithful reproductions of the core implementations from a wide range of academic papers. | PaddleOCR Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages. | ExtractThinker ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows. | Docext An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit. (https://idp-leaderboard.org/) |
|---|---|---|---|---|
| Quality | 100/100 Excellent | 100/100 Excellent | 85/100 Excellent | 98/100 Excellent |
| Decision verdict | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 87/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 1.4K stars 0 installs | 82K stars 0 installs | 1.6K stars 0 installs | 2.0K stars 0 installs |
| Freshness | May 20, 2026 | Jun 12, 2026 | Aug 27, 2025 | Mar 17, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, OCR, Claude Code | Python, OCR, Claude Code | Python, OCR, Claude Code, LangChain | Python, OCR, Claude Code |
| Warnings | No major risk signals from current metadata | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No major risk signals from current metadata |
| Best for | Research agents workflows · Claude Code teams · teams that value GitHub adoption signals | Document processing workflows · Claude Code teams · teams that value GitHub adoption signals | Document processing workflows · Claude Code teams · teams that value GitHub adoption signals | Document processing workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 3 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 1 views 0 install copies |
| Install | $ npx skills add Topdu/OpenOCR | $ npx skills add PaddlePaddle/PaddleOCR | $ npx skills add enoch3712/ExtractThinker | $ npx skills add NanoNets/docext |