What is axl-browser-tools?

48/100
Trust Score (D)
⚠️ Use Caution

axl-browser-tools is a npm that * Injectable browser tools for automated testing * Works across iframes (respecting CORS) * Universally smart-finds HTML elements with single method (by querySelector, by text, by property) * Univers. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by axldns. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS

What axl-browser-tools Does

axl-browser-tools is a npm in the npm category. * Injectable browser tools for automated testing * Works across iframes (respecting CORS) * Universally smart-finds HTML elements with single method (by querySelector, by text, by property) * Universally clicks / touches / taps found elements, or given c. It is published by axldns and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use axl-browser-tools

axl-browser-tools is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authoraxldns
Categorynpm
LicenseNot specified
Typenpm
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=axl-browser-tools

Setup guide · Full safety report · Production review · Is it safe?

Frequently Asked Questions

What is axl-browser-tools used for?
axl-browser-tools is a npm tool. * Injectable browser tools for automated testing * Works across iframes (respecting CORS) * Universally smart-finds HTML elements with single method (by querySelector, by text, by property) * Univers.
Is axl-browser-tools free?
License: Check project page. axl-browser-tools has 0 GitHub stars.
Is axl-browser-tools safe?
axl-browser-tools has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to axl-browser-tools?
Top alternatives: . See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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