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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

Deep Quant is the strongest overall pick here because it has a 38/100 readiness score and fits RAG and knowledge.

Strongest overall

Deep Quant

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

Fastest prototype

Deep Quant

Best first install candidate based on install readiness and adoption.

Freshest repo

Deep Quant

Most recent maintenance signal among this shortlist.

SignalDeep Quant

Deep learning for forecasting company fundamental data

Quality
48/100
Needs review
Decision verdict
38/100
Needs manual review

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

Adoption141 stars
0 installs
FreshnessJul 23, 2019
Use-case fit
RAG and knowledgeFinance and quantCoding agents
Stack fit
RAG knowledge baseContent growth agent
Platform hintsPython, Finance, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forRAG and knowledge 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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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 euclidjda/deep-quant