What is agentic-recruiter?
50/100
Trust Score (D)
⚠️ Use Caution
agentic-recruiter is a AI tool that An AI space. It has a Nerq Trust Score of 50/100 (D). 0 GitHub stars. Published by ammarhattar. 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
50
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS
What agentic-recruiter Does
agentic-recruiter is a space in the AI tool category. An AI space. It is published by ammarhattar and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use agentic-recruiter
agentic-recruiter is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | ammarhattar |
|---|---|
| Category | AI tool |
| 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=agentic-recruiter
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| openclaw | 75 | 218.2K |
| tensorflow | 62 | 193.9K |
| AutoGPT | 65 | 181.9K |
| n8n | 69 | 177.3K |
| ollama | 64 | 163.0K |
Frequently Asked Questions
What is agentic-recruiter used for?
agentic-recruiter is a AI tool tool. An AI space.
Is agentic-recruiter free?
License: Check project page. agentic-recruiter has 0 GitHub stars.
Is agentic-recruiter safe?
agentic-recruiter has a Nerq Trust Score of 50/100 (D). Evaluate carefully.
What are alternatives to agentic-recruiter?
Top alternatives: openclaw, tensorflow, AutoGPT. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
Trending Leaderboard
Discover MCP Servers
Packages Models
Stats API
Last updated November 2026. Trust scores based on automated analysis of public data.