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
Llm App is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Llm App
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Llm App
Best first install candidate based on install readiness and adoption.
Freshest repo
mathmodel-copilot
Most recent maintenance signal among this shortlist.
| Signal | mathmodel-copilot Evidence-based competition workflow for CUMCM, MCM/ICM, Diangong and custom modeling contests, including requirements, actual runs, independent validation, papers, team handoff and submission audit. Do not trigger for unrelated data analysis or ordinary paper review. Maintenance requests modify the product rather than start a contest. | Sim Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce. | Khoj Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free. | Llm App Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more. |
|---|---|---|---|---|
| Quality | 57/100 Promising | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 56/100 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 | 40 stars Verified outcomes are shown on each skill page | 29K stars Verified outcomes are shown on each skill page | 35K stars Verified outcomes are shown on each skill page | 59K stars Verified outcomes are shown on each skill page |
| Freshness | Oct 8, 2026 | Jul 18, 2026 | Jun 24, 2026 | Jun 10, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Claude Code | TypeScript, RAG, Claude Code | Python, RAG, Claude Code, OpenAI Agents | Jupyter Notebook, RAG, Claude Code |
| Warnings | Low GitHub adoption signal · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Data analysis workflows · Claude Code teams · builders willing to evaluate younger projects | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge 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 Odyphus/MathModel-Copilot --skill mathmodel-copilot | $ npx skills add simstudioai/sim | $ npx skills add khoj-ai/khoj | $ npx skills add pathwaycom/llm-app |