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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

Scenario Lab is the strongest overall pick here because it has a 75/100 readiness score and fits Finance and quant.

Strongest overall

Scenario Lab

Shortlist this skill and compare it with close alternatives before production adoption.

Fastest prototype

Scenario Lab

Best first install candidate based on install readiness and adoption.

Freshest repo

Scenario Lab

Most recent maintenance signal among this shortlist.

SignalScenario Lab

Experimental scenario analysis for real-life events forecasting with Codex or Claude

Quality
76/100
Strong
Decision verdict
75/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

Adoption303 stars
0 installs
FreshnessApr 28, 2026
Use-case fit
Finance and quantCoding agentsGitHub automation
Stack fit
Coding review agentContent growth agent
Platform hintsPython, Market Data, Claude Code, OpenAI Agents
WarningsNo OpenAgentSkill engagement data yet
Best forFinance and quant workflows · Claude Code teams · builders willing to evaluate younger projects
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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DocsAbout OpenAgentSkillAPIllms.txtOpenAPICLICreator KitX Growth KitSubmitBlogGuidesActivity
OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
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 YSLAB-ai/scenario-lab