What is Presentation Agent Beta?
Presentation Agent Beta is a community that An AI-powered presentation assistant designed to help users create clear, structured, and time-appropriate presentations through natural conversation — from vague ideas to a ready-to-present slide dec. It has a Nerq Trust Score of 41/100 (E). 0 GitHub stars. Published by 0e591f6b25aef0df74585c13f560f20d01025f71e5cd557a. 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
What Presentation Agent Beta Does
Presentation Agent Beta is a agent in the community category. An AI-powered presentation assistant designed to help users create clear, structured, and time-appropriate presentations through natural conversation — from vague ideas to a ready-to-present slide deck.. It is published by 0e591f6b25aef0df74585c13f560f20d01025f71e5cd557a and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Presentation Agent Beta
Presentation Agent Beta is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0e591f6b25aef0df74585c13f560f20d01025f71e5cd557a |
|---|---|
| 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=presentation-agent-beta
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| Pillow Night Coordinator | 68 | 0 |
| CalHacks Fetch Merch | 67 | 0 |
| CalHacks Hacker Personality | 67 | 0 |
| CalHacks AI Investor | 67 | 0 |
| ASI-Kagaz | 68 | 0 |
Frequently Asked Questions
Last updated November 2026. Trust scores based on automated analysis of public data.