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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

DBNet.Pytorch is the strongest overall pick here because it has a 72/100 readiness score and fits Document processing.

Strongest overall

DBNet.Pytorch

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

Fastest prototype

DBNet.Pytorch

Best first install candidate based on install readiness and adoption.

Freshest repo

DBNet.Pytorch

Most recent maintenance signal among this shortlist.

SignalDBNet.Pytorch

A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization

Quality
70/100
Strong
Decision verdict
72/100
Strong shortlist

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

Adoption1.0K stars
0 installs
FreshnessDec 29, 2022
Use-case fit
Document processingCoding agentsRAG and knowledge
Stack fit
Content growth agentCoding review agent
Platform hintsPython, OCR, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forDocument processing workflows · Claude Code teams · teams that value GitHub adoption signals
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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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Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add WenmuZhou/DBNet.pytorch