What is linear-app-api-smolagents?
52/100
Trust Score (D)
⚠️ Use Caution
linear-app-api-smolagents is a agent framework that N/A. It has a Nerq Trust Score of 52/100 (D). 2 GitHub stars. Published by Akjava. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 2 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
52
TRUST SCORE
D
GRADE
2
STARS
0
DOWNLOADS
What linear-app-api-smolagents Does
linear-app-api-smolagents is a space in the agent framework category. N/A. It is published by Akjava and has no specified license. With 2 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use linear-app-api-smolagents
linear-app-api-smolagents is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Akjava |
|---|---|
| Category | agent framework |
| License | Not specified |
| Type | space |
| 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=linear-app-api-smolagents
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
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| PraisonAI | 48 | 5.6K |
| GenericAgent | 54 | 804 |
| loki-mode | 73 | 665 |
| agents | 80 | 602 |
| software-agent-sdk | 82 | 595 |
Frequently Asked Questions
What is linear-app-api-smolagents used for?
linear-app-api-smolagents is a agent framework tool. N/A.
Is linear-app-api-smolagents free?
License: Check project page. linear-app-api-smolagents has 2 GitHub stars.
Is linear-app-api-smolagents safe?
linear-app-api-smolagents has a Nerq Trust Score of 52/100 (D). Use with caution.
What are alternatives to linear-app-api-smolagents?
Top alternatives: PraisonAI, GenericAgent, loki-mode. See full comparison.
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Last updated September 2026. Trust scores based on automated analysis of public data.