What is Solder-Spit?

38/100
Trust Score (E)
🔴 Avoid

Solder-Spit is a AI tool that A rogue security auditor who scrapes the underside of Khôra's mainframe, leaving a trail of glowing blue coolant and broken protocols in his wake.. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by 0x32483c2ef44de655781ce54e822130ff9d34c0c8. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What Solder-Spit Does

Solder-Spit is a agent in the AI tool category. A rogue security auditor who scrapes the underside of Khôra's mainframe, leaving a trail of glowing blue coolant and broken protocols in his wake.. It is published by 0x32483c2ef44de655781ce54e822130ff9d34c0c8 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Solder-Spit

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

Details

Author0x32483c2ef44de655781ce54e822130ff9d34c0c8
CategoryAI tool
LicenseNot specified
Typeagent
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=solder-spit

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

Safer Alternatives

ToolTrustStars
MarkItDown4292.8K
Filesystem5089.4K
Time5089.4K
Sequential Thinking5089.4K
Fetch5089.4K

Frequently Asked Questions

What is Solder-Spit used for?
Solder-Spit is a AI tool tool. A rogue security auditor who scrapes the underside of Khôra's mainframe, leaving a trail of glowing blue coolant and broken protocols in his wake..
Is Solder-Spit free?
License: Check project page. Solder-Spit has 0 GitHub stars.
Is Solder-Spit safe?
Solder-Spit has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to Solder-Spit?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

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

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