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
DeepCode is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
DeepCode
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
DeepCode
Best first install candidate based on install readiness and adoption.
Freshest repo
Mirascope
Most recent maintenance signal among this shortlist.
| Signal | GroundingLMM [CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks. | DeepCode "DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)" | AgentBench A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24) | Mirascope The LLM Anti-Framework |
|---|---|---|---|---|
| Quality | 69/100 Promising | 100/100 Excellent | 97/100 Excellent | 97/100 Excellent |
| Decision verdict | 71/100 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 | 959 stars 0 installs | 16K stars 0 installs | 3.5K stars 0 installs | 1.5K stars 0 installs |
| Freshness | Aug 5, 2025 | May 18, 2026 | Feb 8, 2026 | Jun 15, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, LLM, Claude Code | Python, LLM, Claude Code | Python, LLM, Claude Code, OpenAI Agents | Python, LLM, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No major risk signals from current metadata | No major risk signals from current metadata |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation 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 | 0 views 0 install copies | 0 views 0 install copies | 2 views 0 install copies | 2 views 0 install copies |
| Install | $ npx skills add mbzuai-oryx/groundingLMM | $ npx skills add HKUDS/DeepCode | $ npx skills add THUDM/AgentBench | $ npx skills add Mirascope/mirascope |