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
Bisheng is the strongest overall pick here because it has a 100/100 readiness score and fits Document processing.
Strongest overall
Bisheng
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Bisheng
Best first install candidate based on install readiness and adoption.
Freshest repo
Rpaframework
Most recent maintenance signal among this shortlist.
| Signal | Eclaire Local-first, open-source AI assistant for your data. Unify tasks, notes, docs, photos, and bookmarks. Private, self-hosted, and extensible via APIs. | Bisheng BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more. | Rpaframework Collection of open-source libraries and tools for Robotic Process Automation (RPA), designed to be used with both Robot Framework and Python | ExtractThinker ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows. |
|---|---|---|---|---|
| Quality | 81/100 Strong | 100/100 Excellent | 100/100 Excellent | 85/100 Excellent |
| Decision verdict | 93/100 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. | 87/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 869 stars 0 installs | 11K stars 0 installs | 1.5K stars 0 installs | 1.6K stars 0 installs |
| Freshness | May 14, 2026 | Jun 14, 2026 | Jun 14, 2026 | Aug 27, 2025 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | TypeScript, OCR, Claude Code | TypeScript, OCR, Claude Code, OpenAI Agents | Python, OCR, Claude Code | Python, OCR, Claude Code, LangChain |
| Warnings | No major risk signals from current metadata | 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 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 | 1 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add eclaire-labs/eclaire | $ npx skills add dataelement/bisheng | $ npx skills add robocorp/rpaframework | $ npx skills add enoch3712/ExtractThinker |