Skill comparison
Compare agent skills before installing.
Comparing 3 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Browser Use is the strongest overall pick here because it has a 100/100 readiness score and fits Browser automation.
Strongest overall
Browser Use
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Browser Use
Best first install candidate based on install readiness and adoption.
Freshest repo
Playwright Browser Skill
Most recent maintenance signal among this shortlist.
| Signal | EconML ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x. | Playwright Browser Skill Automate a real browser from the terminal for navigation, form filling, snapshots, screenshots, extraction, and UI-flow debugging. | Browser Use Make AI agents interact with websites using natural language |
|---|---|---|---|
| Quality | 97/100 Excellent | 100/100 Excellent | 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. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 4.7K stars Verified outcomes are shown on each skill page | 25K stars Verified outcomes are shown on each skill page | 101K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 15, 2026 | Jul 14, 2026 | Jun 20, 2026 |
| Use-case fit | |||
| Workflow fit | |||
| Platform hints | Jupyter Notebook, Machine Learning, Claude Code | Codex, Claude Code, Cursor, Playwright, OpenAI Agents | Claude, GPT-4, LangChain, OpenClaw, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | Browser automation can submit data; confirm the target environment and review actions before execution. · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | Browser automation workflows · Claude Code teams · teams that value GitHub adoption signals | Browser automation 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 | teams that need a vendor-supported SLA · production agents without a repository review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add py-why/EconML | $ npx skills add openai/skills --skill playwright | $ npx skills add browser-use/browser-use |