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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

CrossLinked is the strongest overall pick here because it has a 74/100 readiness score and fits Web scraping.

Strongest overall

CrossLinked

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

Fastest prototype

CrossLinked

Best first install candidate based on install readiness and adoption.

Freshest repo

CrossLinked

Most recent maintenance signal among this shortlist.

SignalCrossLinked

LinkedIn enumeration tool to extract valid employee names from an organization through search engine scraping

Quality
72/100
Strong
Decision verdict
74/100
Strong shortlist

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

Adoption1.6K stars
0 installs
FreshnessNov 26, 2024
Use-case fit
Web scrapingRAG and knowledgeCoding agents
Workflow fit
Web data pipelineRAG knowledge base
Platform hintsPython, OSINT, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forWeb scraping workflows · Claude Code teams · teams that value GitHub adoption signals
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
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add m8sec/CrossLinked