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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

Course Codes is the strongest overall pick here because it has a 41/100 readiness score and fits Coding agents.

Strongest overall

Course Codes

Do a manual repository review before adding this to an agent workflow.

Fastest prototype

Course Codes

Best first install candidate based on install readiness and adoption.

Freshest repo

Course Codes

Most recent maintenance signal among this shortlist.

SignalCourse Codes

VNPY 2020 Python数字货币量化交易视频教程课程代码和资料

Quality
51/100
Needs review
Decision verdict
41/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

Adoption327 stars
0 installs
FreshnessJul 10, 2022
Use-case fit
Coding agentsRAG and knowledgeResearch agents
Stack fit
Coding review agentRAG knowledge base
Platform hintsPython, Finance, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forCoding agents 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 require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add 51bitquant/course_codes