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
Deepseek Ocr.Rs is the strongest overall pick here because it has a 100/100 readiness score and fits Document processing.
Strongest overall
Deepseek Ocr.Rs
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Deepseek Ocr.Rs
Best first install candidate based on install readiness and adoption.
Freshest repo
Deepseek Ocr.Rs
Most recent maintenance signal among this shortlist.
| Signal | Deepseek Ocr.Rs Rust multi‑backend OCR/VLM engine (DeepSeek‑OCR-1/2, PaddleOCR‑VL, DotsOCR) with DSQ quantization and an OpenAI‑compatible server & CLI – run locally without Python. |
|---|---|
| Quality | 95/100 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. |
| Adoption | 2.2K stars 0 installs |
| Freshness | Feb 21, 2026 |
| Use-case fit | |
| Stack fit | |
| Platform hints | Rust, OCR, Claude Code, OpenAI Agents |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | 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 |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add TimmyOVO/deepseek-ocr.rs |