What is homebrew-kapsis?
53/100
Trust Score (D)
⚠️ Use Caution
homebrew-kapsis is a coding that Kapsis is an AI Agent Sandbox.. It has a Nerq Trust Score of 53/100 (D). 0 GitHub stars. Published by aviadshiber. Last analyzed October 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
53
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS
What homebrew-kapsis Does
homebrew-kapsis is a agent in the coding category. Kapsis is an AI Agent Sandbox.. It is published by aviadshiber and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use homebrew-kapsis
homebrew-kapsis is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | aviadshiber |
|---|---|
| Category | coding |
| License | Not specified |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=homebrew-kapsis
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| AutoGPT | 65 | 181.9K |
| ollama | 64 | 163.0K |
| langchain | 77 | 127.8K |
| system-prompts-and-models-of-ai-tools | 64 | 115.3K |
| opencode | 78 | 108.1K |
Frequently Asked Questions
What is homebrew-kapsis used for?
homebrew-kapsis is a coding tool. Kapsis is an AI Agent Sandbox..
Is homebrew-kapsis free?
License: Check project page. homebrew-kapsis has 0 GitHub stars.
Is homebrew-kapsis safe?
homebrew-kapsis has a Nerq Trust Score of 53/100 (D). Use with caution.
What are alternatives to homebrew-kapsis?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.
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Last updated October 2026. Trust scores based on automated analysis of public data.