No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by idavidov13 · Agent Tool · ★ 161
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agentic-playwright safe to install? View the security audit →
Agentic Playwright Stop teaching your AI how to write tests. Hand it the rulebook. = 20" Production-grade Playwright + TypeScript Scaffold for Agentic Testing. A complete, running test framework — page objects, API
| Stars | 161 |
| Forks | 46 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 70.9227787213943/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-09 |
| Created | 2026-08-13 |
| Platforms | claude-code, python |
| Est. Tokens | ~25k |
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agentic-playwright is Production-grade Playwright + TypeScript Scaffold for Agentic Testing. Harness for all major AI coding agents baked in.. It is categorized as a Agent Tool with 161 GitHub stars.
agentic-playwright is primarily written in Python. It covers topics such as agentic, ai, api-testing.
You can find installation instructions and usage details in the agentic-playwright GitHub repository at github.com/idavidov13/agentic-playwright. The project has 161 stars and 46 forks, indicating an active community.
agentic-playwright is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agentic-playwright on Agent Skills Hub include qaskills, agent-skills-cli, glance. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: