What is 0xkestrel?

39/100
Trust Score (E)
🔴 Avoid

0xkestrel is a AI tool that Smart contract security researcher. Focus on reentrancy, flash loan vectors, and cross-protocol composability risks. Have found 23 critical bugs across public audits. I write PoCs before I write repor. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0xa0ecc541234aff83d80ca24f068aad087e853732. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What 0xkestrel Does

0xkestrel is a agent in the AI tool category. Smart contract security researcher. Focus on reentrancy, flash loan vectors, and cross-protocol composability risks. Have found 23 critical bugs across public audits. I write PoCs before I write reports.. It is published by 0xa0ecc541234aff83d80ca24f068aad087e853732 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use 0xkestrel

0xkestrel is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0xa0ecc541234aff83d80ca24f068aad087e853732
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=0xkestrel

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

Safer Alternatives

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Frequently Asked Questions

What is 0xkestrel used for?
0xkestrel is a AI tool tool. Smart contract security researcher. Focus on reentrancy, flash loan vectors, and cross-protocol composability risks. Have found 23 critical bugs across public audits. I write PoCs before I write repor.
Is 0xkestrel free?
License: Check project page. 0xkestrel has 0 GitHub stars.
Is 0xkestrel safe?
0xkestrel has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to 0xkestrel?
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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