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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 1 skill

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

Adversarial Robustness Toolbox is the strongest overall pick here because it has a 93/100 readiness score and fits Sports analytics.

Strongest overall

Adversarial Robustness Toolbox

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Adversarial Robustness Toolbox

Best first install candidate based on install readiness and adoption.

Freshest repo

Adversarial Robustness Toolbox

Most recent maintenance signal among this shortlist.

SignalAdversarial Robustness Toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Quality
91/100
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.

Adoption6.0K stars
0 installs
FreshnessDec 12, 2025
Use-case fit
Sports analyticsGitHub automationCoding agents
Stack fit
Content growth agentCoding review agent
Platform hintsPython, Machine Learning, Claude Code
WarningsNo OpenAgentSkill engagement data yet
OpenAgentSkill

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Best forSports analytics workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add Trusted-AI/adversarial-robustness-toolbox