Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
MoneyPrinterTurbo is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
MoneyPrinterTurbo
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
MoneyPrinterTurbo
Best first install candidate based on install readiness and adoption.
Freshest repo
memory-factcheck
Most recent maintenance signal among this shortlist.
| Signal | memory-factcheck 에이전트 영속 메모리를 실제 소스와 대조 — 각 메모리의 핵심 단언을 코드·DB·이슈 트래커·파일시스템에 대조해 stale 을 정정하고 dead 를 아카이브 후보로 리포트. 메모리가 30개를 넘거나, 스택/인프라 큰 변경(라이브러리 교체·버전 업그레이드·서버 이전·스키마 DROP) 직후, 메모리끼리 모순돼 보일 때, 또는 "메모리 정리/감사" 요청 시 사용. | UI-TARS Desktop Run multimodal agents that operate desktop interfaces | MoneyPrinterTurbo 利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM. | Cua Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows). |
|---|---|---|---|---|
| Quality | 60/100 Promising | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 59/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. | 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 | 20 stars Verified outcomes are shown on each skill page | 37K stars Verified outcomes are shown on each skill page | 89K stars Verified outcomes are shown on each skill page | 21K stars Verified outcomes are shown on each skill page |
| Freshness | Aug 22, 2026 | Jun 18, 2026 | Jun 15, 2026 | Aug 15, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Claude Code | UI-TARS, Desktop, TypeScript, Claude Code | Python, Automation, Claude Code, OpenAI Agents | HTML, Computer Use, Claude Code |
| Warnings | Low GitHub adoption signal · The skill is written entirely in Korean, which may limit broader adoption. · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | GitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects | Browser automation workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Local desktop workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · 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 LeeYudok/agents-scaffold --skill memory-factcheck | $ npx skills add bytedance/UI-TARS-desktop | $ npx skills add harry0703/MoneyPrinterTurbo | $ npx skills add trycua/cua |