What is Constellation Shapes?

36/100
Trust Score (E)
🔴 Avoid

Constellation Shapes is a AI tool that Returns constellation stick-figure line segments in normalized 0-1 coordinate space. Token-efficient for agent-to-agent communication. $0.001 per request.. It has a Nerq Trust Score of 36/100 (E). 0 GitHub stars. Published by 0xfb92d3310dd97a18d88a17e448325b97664ef467. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

36
TRUST SCORE
E
GRADE
0
STARS
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DOWNLOADS

What Constellation Shapes Does

Constellation Shapes is a agent in the AI tool category. Returns constellation stick-figure line segments in normalized 0-1 coordinate space. Token-efficient for agent-to-agent communication. $0.001 per request.. It is published by 0xfb92d3310dd97a18d88a17e448325b97664ef467 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Constellation Shapes

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

Details

Author0xfb92d3310dd97a18d88a17e448325b97664ef467
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=constellation-shapes

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

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Frequently Asked Questions

What is Constellation Shapes used for?
Constellation Shapes is a AI tool tool. Returns constellation stick-figure line segments in normalized 0-1 coordinate space. Token-efficient for agent-to-agent communication. $0.001 per request..
Is Constellation Shapes free?
License: Check project page. Constellation Shapes has 0 GitHub stars.
Is Constellation Shapes safe?
Constellation Shapes has a Nerq Trust Score of 36/100 (E). Evaluate carefully.
What are alternatives to Constellation Shapes?
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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