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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

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

Strongest overall

Irl Maxent

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

Fastest prototype

Irl Maxent

Best first install candidate based on install readiness and adoption.

Freshest repo

Irl Maxent

Most recent maintenance signal among this shortlist.

SignalIrl Maxent

Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python

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

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

Adoption321 stars
0 installs
FreshnessApr 21, 2024
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Workflow fit
Content growth agentCoding review agent
Platform hintsJupyter Notebook, Machine Learning, 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 qzed/irl-maxent