What is Token Pilot by Digital Threads?

36/100
Trust Score (E)
🔴 Avoid

Token Pilot by Digital Threads is a AI tool that Token-efficient code reading via AST-aware structural analysis with up to 80% token savings.. It has a Nerq Trust Score of 36/100 (E). 0 GitHub stars. Published by https://github.com/digital-threads/token-pilot. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

36
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What Token Pilot by Digital Threads Does

Token Pilot by Digital Threads is a mcp_server in the AI tool category. Token-efficient code reading via AST-aware structural analysis with up to 80% token savings.. It is published by https://github.com/digital-threads/token-pilot and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Token Pilot by Digital Threads

Token Pilot by Digital Threads is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/digital-threads/token-pilot
CategoryAI tool
LicenseNot specified
Typemcp_server
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=token-pilot-by-digital-threads

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

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Frequently Asked Questions

What is Token Pilot by Digital Threads used for?
Token Pilot by Digital Threads is a AI tool tool. Token-efficient code reading via AST-aware structural analysis with up to 80% token savings..
Is Token Pilot by Digital Threads free?
License: Check project page. Token Pilot by Digital Threads has 0 GitHub stars.
Is Token Pilot by Digital Threads safe?
Token Pilot by Digital Threads has a Nerq Trust Score of 36/100 (E). Evaluate carefully.
What are alternatives to Token Pilot by Digital Threads?
Top alternatives: MarkItDown, Sequential Thinking, Filesystem. See full comparison.

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

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