What is input-test-pcd?

48/100
Trust Score (D)
⚠️ Use Caution

input-test-pcd is a npm that This PCD is practically useless. Its intended purpose is to expose the wide API surface area provided by the SDK to test that all of them are working properly. For example, we intend to add a large am. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by richardliu. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS

What input-test-pcd Does

input-test-pcd is a npm in the npm category. This PCD is practically useless. Its intended purpose is to expose the wide API surface area provided by the SDK to test that all of them are working properly. For example, we intend to add a large amount of different arguments to this PCD, to ensure that. It is published by richardliu and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use input-test-pcd

input-test-pcd is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorrichardliu
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=pcd-input-test-pcd

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

Frequently Asked Questions

What is input-test-pcd used for?
input-test-pcd is a npm tool. This PCD is practically useless. Its intended purpose is to expose the wide API surface area provided by the SDK to test that all of them are working properly. For example, we intend to add a large am.
Is input-test-pcd free?
License: Check project page. input-test-pcd has 0 GitHub stars.
Is input-test-pcd safe?
input-test-pcd has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to input-test-pcd?
Top alternatives: . See full comparison.

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

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