by kunchenguid · AI Tool · ★ 414
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is chrome-devtools-axi safe to install? View the security audit →
chrome-devtools-axi The most agent-ergonomic browser automation wraps chrome-devtools-mcp with an AXI-compliant CLI. Token-efficient — TOON-encoded output cuts token usage 40% vs raw JSON Combined operations — one command na
npx skills add kunchenguid/chrome-devtools-axi --skill chrome-devtools-axi -g
npm install -g chrome-devtools-axiTaken from the project's README on GitHub. Check the security audit before running it.
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 →
| Stars | 414 |
| Forks | 66 |
| Language | TypeScript |
| Category | AI Tool |
| License | MIT |
| Quality Score | 62.2792616203045/100 |
| Open Issues | 19 |
| Last Updated | 2026-10-10 |
| Created | 2026-03-27 |
| Platforms | browser, node |
| Est. Tokens | ~20k |
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chrome-devtools-axi is The most agent-ergonomic browser automation. It is categorized as a AI Tool with 414 GitHub stars.
chrome-devtools-axi is primarily written in TypeScript.
The README on GitHub (github.com/kunchenguid/chrome-devtools-axi) gives: npx skills add kunchenguid/chrome-devtools-axi --skill chrome-devtools-axi -g , then npm install -g chrome-devtools-axi. Usage details are in the same README.
chrome-devtools-axi is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to chrome-devtools-axi on Agent Skills Hub include EDRSilencer, perf-map-agent, shaping-skills. 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: