What is llm-guard?
56/100
Trust Score (D)
⚠️ Use Caution
llm-guard is a security that The Security Toolkit for LLM Interactions. It has a Nerq Trust Score of 56/100 (D). 2.6K GitHub stars. Published by Unknown. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ✅ Community: 2.6K stars, 0 downloads — Large community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
56
TRUST SCORE
D
GRADE
2.6K
STARS
0
DOWNLOADS
What llm-guard Does
llm-guard is a tool in the security category. The Security Toolkit for LLM Interactions. It is published by an independent developer and has no specified license. With 2.6K GitHub stars and 0 downloads, it has a growing community of users and contributors.
Who Should Use llm-guard
llm-guard is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Unknown |
|---|---|
| Category | security |
| License | Not specified |
| Type | tool |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=protectai-llm-guard
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| Ciphey | 63 | 21.0K |
| strix | 64 | 20.3K |
| SWE-agent | 77 | 18.5K |
| promptfoo | 86 | 18.4K |
| anubis | 63 | 17.1K |
Frequently Asked Questions
What is llm-guard used for?
llm-guard is a security tool. The Security Toolkit for LLM Interactions.
Is llm-guard free?
License: Check project page. llm-guard has 2.6K GitHub stars.
Is llm-guard safe?
llm-guard has a Nerq Trust Score of 56/100 (D). Use with caution.
What are alternatives to llm-guard?
Top alternatives: Ciphey, strix, SWE-agent. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
Trending Leaderboard
Discover MCP Servers
Packages Models
Stats API
Last updated September 2026. Trust scores based on automated analysis of public data.