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 1 skill
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Deep Text Recognition Benchmark is the strongest overall pick here because it has a 41/100 readiness score and fits Document processing.
Strongest overall
Deep Text Recognition Benchmark
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
Deep Text Recognition Benchmark
Best first install candidate based on install readiness and adoption.
Freshest repo
Deep Text Recognition Benchmark
Most recent maintenance signal among this shortlist.
| Signal | Deep Text Recognition Benchmark PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR) |
|---|---|
| Quality | 51/100 Needs review |
| Decision verdict | 41/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 313 stars 0 installs |
| Freshness | Apr 9, 2024 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Jupyter Notebook, OCR, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | Document processing workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add roatienza/deep-text-recognition-benchmark |