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
AgentBench is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
AgentBench
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
AgentBench
Best first install candidate based on install readiness and adoption.
Freshest repo
Mirascope
Most recent maintenance signal among this shortlist.
| Signal | Code Act Official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji. | AgentBench A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24) | Mirascope The LLM Anti-Framework | Llama Cpp Agent The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls. |
|---|---|---|---|---|
| Quality | 73/100 Strong | 97/100 Excellent | 97/100 Excellent | 70/100 Strong |
| Decision verdict | 75/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. | 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. | 81/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 1.7K stars 0 installs | 3.5K stars 0 installs | 1.5K stars 0 installs | 643 stars 0 installs |
| Freshness | May 23, 2024 | Feb 8, 2026 | Jun 15, 2026 | Mar 9, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, LLM, Claude Code | Python, LLM, Claude Code, OpenAI Agents | Python, LLM, Claude Code | Python, LLM, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No major risk signals from current metadata | No major risk signals from current metadata | No OpenAgentSkill engagement data yet |
| Best for | GitHub automation 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 | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that require actively maintained dependencies · 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 | 2 views 0 install copies | 2 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add xingyaoww/code-act | $ npx skills add THUDM/AgentBench | $ npx skills add Mirascope/mirascope | $ npx skills add Maximilian-Winter/llama-cpp-agent |