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.
Decision summary
Codex Autoresearch is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
Codex Autoresearch
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Codex Autoresearch
Best first install candidate based on install readiness and adoption.
Freshest repo
Codex Autoresearch
Most recent maintenance signal among this shortlist.
| Signal | Codex Autoresearch Codex Autoresearch Skill — A self-directed iterative system for Codex that continuously cycles through: modify, verify, retain or discard, and repeat indefinitely. Inspired by Karpathy’s autoresearch concept. |
|---|---|
| Quality | 100/100 Excellent |
| Decision verdict | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 2.0K stars 0 installs |
| Freshness | Jul 13, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, Automation, Claude Code, OpenAI Agents |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add leo-lilinxiao/codex-autoresearch |