What is kacapy?
39/100
Trust Score (E)
🔴 Avoid
kacapy is a community that An AI agent. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 030222018665929f69213d1e7d975a40e8543af5ee1982a5. Last analyzed November 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS
What kacapy Does
kacapy is a agent in the community category. An AI agent. It is published by 030222018665929f69213d1e7d975a40e8543af5ee1982a5 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use kacapy
kacapy is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 030222018665929f69213d1e7d975a40e8543af5ee1982a5 |
|---|---|
| Category | community |
| License | Not specified |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=kacapy
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| Tool Offer Agent | 71 | 0 |
| AIE Code Submission Agent | 71 | 0 |
| Pillow Night Coordinator | 68 | 0 |
| LAZARUS Digger | 68 | 0 |
| AIE Code Hackathon Submission | 71 | 0 |
Frequently Asked Questions
What is kacapy used for?
kacapy is a community tool. An AI agent.
Is kacapy free?
License: Check project page. kacapy has 0 GitHub stars.
Is kacapy safe?
kacapy has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to kacapy?
Top alternatives: Tool Offer Agent, AIE Code Submission Agent, Pillow Night Coordinator. See full comparison.
Safety Report Is It Safe?
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Last updated November 2026. Trust scores based on automated analysis of public data.