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
X AnyLabeling is the strongest overall pick here because it has a 100/100 readiness score and fits Document processing.
Strongest overall
X AnyLabeling
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
X AnyLabeling
Best first install candidate based on install readiness and adoption.
Freshest repo
BallonsTranslator
Most recent maintenance signal among this shortlist.
| Signal | Parseq Scene Text Recognition with Permuted Autoregressive Sequence Models (ECCV 2022) | X AnyLabeling Effortless data labeling with AI support from Segment Anything and other awesome models. | Doctr docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning. | BallonsTranslator 深度学习辅助漫画翻译工具, 支持一键机翻和简单的图像/文本编辑 | Yet another computer-aided comic/manga translation tool powered by deeplearning |
|---|---|---|---|---|
| Quality | 55/100 Promising | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 57/100 Needs manual review Do a manual repository review before adding this to an agent workflow. | 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. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 721 stars 0 installs | 9.4K stars 0 installs | 6.1K stars 0 installs | 4.9K stars 0 installs |
| Freshness | May 29, 2024 | Jun 6, 2026 | Jun 11, 2026 | Jun 14, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, OCR, Claude Code | Python, OCR, Claude Code | Python, OCR, Claude Code | Python, OCR, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | 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 | Document processing workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository 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 | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add baudm/parseq | $ npx skills add CVHub520/X-AnyLabeling | $ npx skills add mindee/doctr | $ npx skills add dmMaze/BallonsTranslator |