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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

Paper Collection is the strongest overall pick here because it has a 69/100 readiness score and fits Coding agents.

Strongest overall

Paper Collection

Prototype with this skill first; keep a fallback candidate ready.

Fastest prototype

Paper Collection

Best first install candidate based on install readiness and adoption.

Freshest repo

Paper Collection

Most recent maintenance signal among this shortlist.

SignalPaper Collection

Academic papers related to fuzzing, binary analysis, and exploit dev, which I want to read or have already read

Quality
67/100
Promising
Decision verdict
69/100
Prototype first

Prototype with this skill first; keep a fallback candidate ready.

Adoption1.4K stars
0 installs
FreshnessFeb 21, 2025
Use-case fit
Coding agentsRAG and knowledgeBrowser automation
Stack fit
Content growth agentCoding review agent
Platform hintsPython, IoT, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best for
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
Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add 0xricksanchez/paper_collection