What is perfect-markdown?

48/100
Trust Score (D)
⚠️ Use Caution

perfect-markdown is a npm that ## What is perfect-markdown perfect-markdown is a markdown editor based on Vue & markdown-it. The core is inspired by the implementation of [mavonEditor](https://github.com/hinesboy/mavonEditor), so p. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by li-xiaoqing. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS

What perfect-markdown Does

perfect-markdown is a npm in the npm category. ## What is perfect-markdown perfect-markdown is a markdown editor based on Vue & markdown-it. The core is inspired by the implementation of [mavonEditor](https://github.com/hinesboy/mavonEditor), so perfect-markdown has almost all of the functions of mavo. It is published by li-xiaoqing and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use perfect-markdown

perfect-markdown is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorli-xiaoqing
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=perfect-markdown

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

Frequently Asked Questions

What is perfect-markdown used for?
perfect-markdown is a npm tool. ## What is perfect-markdown perfect-markdown is a markdown editor based on Vue & markdown-it. The core is inspired by the implementation of [mavonEditor](https://github.com/hinesboy/mavonEditor), so p.
Is perfect-markdown free?
License: Check project page. perfect-markdown has 0 GitHub stars.
Is perfect-markdown safe?
perfect-markdown has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to perfect-markdown?
Top alternatives: . See full comparison.

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

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