What is tournament-tourn_358aca49563e214e_20260622-8f3e2873-6032-4791-94ab-6ae979584920-5DfdHDKN?
tournament-tourn_358aca49563e214e_20260622-8f3e2873-6032-4791-94ab-6ae979584920-5DfdHDKN is a AI tool that An AI model. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by Unknown. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 133 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What tournament-tourn_358aca49563e214e_20260622-8f3e2873-6032-4791-94ab-6ae979584920-5DfdHDKN Does
tournament-tourn_358aca49563e214e_20260622-8f3e2873-6032-4791-94ab-6ae979584920-5DfdHDKN is a model in the AI tool category. An AI model. It is published by an independent developer and has no specified license. With 0 GitHub stars and 133 downloads, it has a small community of users and contributors.
Who Should Use tournament-tourn_358aca49563e214e_20260622-8f3e2873-6032-4791-94ab-6ae979584920-5DfdHDKN
tournament-tourn_358aca49563e214e_20260622-8f3e2873-6032-4791-94ab-6ae979584920-5DfdHDKN is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | Unknown |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | model |
| 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=gradients-io-tournaments-tournament-tourn-358aca49563e214e-20260622-8f3e2873-6032-4791-94ab-6ae979584920-5dfdhdkn
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
| Fetch | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.