What is mobile-automation-format-test-id?

48/100
Trust Score (D)
⚠️ Use Caution

mobile-automation-format-test-id is a npm that A tiny helper for mobile apps test ID as part of pilot project for mobile automation v2 to address security and up-to-date tech stack. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by moxspoy. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS

What mobile-automation-format-test-id Does

mobile-automation-format-test-id is a npm in the npm category. A tiny helper for mobile apps test ID as part of pilot project for mobile automation v2 to address security and up-to-date tech stack. It is published by moxspoy and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use mobile-automation-format-test-id

mobile-automation-format-test-id is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authormoxspoy
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=mobile-automation-format-test-id

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

Frequently Asked Questions

What is mobile-automation-format-test-id used for?
mobile-automation-format-test-id is a npm tool. A tiny helper for mobile apps test ID as part of pilot project for mobile automation v2 to address security and up-to-date tech stack.
Is mobile-automation-format-test-id free?
License: Check project page. mobile-automation-format-test-id has 0 GitHub stars.
Is mobile-automation-format-test-id safe?
mobile-automation-format-test-id has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to mobile-automation-format-test-id?
Top alternatives: . See full comparison.

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

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