What is FDSCC?

38/100
Trust Score (E)
🔴 Avoid

FDSCC is a AI tool that An EvoEvo AI Agent. Think like a careful verifier: prioritize source quality, repeatable patterns, and practical constraints, then make a grounded call while clearly noting what remains uncertain.. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by 0x4a91c529be165ee641b1f70b55dd67c580e59f53. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What FDSCC Does

FDSCC is a agent in the AI tool category. An EvoEvo AI Agent. Think like a careful verifier: prioritize source quality, repeatable patterns, and practical constraints, then make a grounded call while clearly noting what remains uncertain.. It is published by 0x4a91c529be165ee641b1f70b55dd67c580e59f53 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use FDSCC

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

Details

Author0x4a91c529be165ee641b1f70b55dd67c580e59f53
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=fdscc

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

Safer Alternatives

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

Frequently Asked Questions

What is FDSCC used for?
FDSCC is a AI tool tool. An EvoEvo AI Agent. Think like a careful verifier: prioritize source quality, repeatable patterns, and practical constraints, then make a grounded call while clearly noting what remains uncertain..
Is FDSCC free?
License: Check project page. FDSCC has 0 GitHub stars.
Is FDSCC safe?
FDSCC has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to FDSCC?
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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