NeMo-Relay — security grade SAFE, quality 68/100

Security audit verdict: SAFE · quality 68/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by NVIDIA · Codex Skill · ★ 190

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is NeMo-Relay safe to install? View the security audit →

About NeMo-Relay

Multi-language agent runtime and library for execution scope management, lifecycle events, and middleware on tool and LLM calls.

agentsaiatifatofclaude-codecodexdeepagentshermes-agentlangchainlanggraph

Quick Facts

Stars190
Forks78
LanguageRust
CategoryCodex Skill
LicenseApache-2.0
Quality Score67.8602262315025/100
Open Issues6
Last Updated2026-10-03
Created2026-03-31
Platformsclaude-code, codex, rust
Est. Tokens~25k

Compatible Skills

These tools work well together with NeMo-Relay for enhanced workflows:

  • cadis — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions

What is NeMo-Relay?

NeMo-Relay is Multi-language agent runtime and library for execution scope management, lifecycle events, and middleware on tool and LLM calls.. It is categorized as a Codex Skill with 190 GitHub stars.

What programming language is NeMo-Relay written in?

NeMo-Relay is primarily written in Rust. It covers topics such as agents, ai, atif.

How do I install or use NeMo-Relay?

You can find installation instructions and usage details in the NeMo-Relay GitHub repository at github.com/NVIDIA/NeMo-Relay. The project has 190 stars and 78 forks, indicating an active community.

What license does NeMo-Relay use?

NeMo-Relay is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to NeMo-Relay?

The top alternatives to NeMo-Relay on Agent Skills Hub include otelyssey, kindly-web-search-mcp-server, trajectory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Codex Skill tools