Score breakdown0 Version history1 Source
Category Weight Category score Contribution
Security prompt, exec, net, exfil, eval
35%
100
35.0 pts
Supply chain hash, typosquat, maintainer, lockfile
20%
100
20.0 pts
Maintenance staleness, pinning, CI
15%
100
15.0 pts
Transparency SKILL.md, perms, README
15%
100
15.0 pts
Community installs, verify, response
15%
100
15.0 pts
Findings & checks · 0 flagged
Security score 100 · 0 findings
✓ — All security checks passedNo findings in this category for the latest scan. pass
Supply chain score 100 · 0 findings
✓ — All supply chain checks passedNo findings in this category for the latest scan. pass
Maintenance score 100 · 0 findings
✓ — All maintenance checks passedNo findings in this category for the latest scan. pass
Transparency score 100 · 0 findings
✓ — All transparency checks passedNo findings in this category for the latest scan. pass
Community score 100 · 0 findings
✓ — All community checks passedNo findings in this category for the latest scan. pass
Every scanned point with the score it earned and what moved between them.
1 scans · 90 days d97a2e4 latest
Jun 23, 2026 100 d97a2e4
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
library/specializations/ai-agents-conversational/skills/nemo-guardrails/SKILL.md · 1 file library/specializations/ai-agents-conversational/skills/nemo-guardrails/SKILL.md 1.1 KB · Markdown Rendered Raw ⧉ Copy
name : nemo-guardrails
description : NVIDIA NeMo Guardrails configuration for conversational safety and control
allowed-tools :
- Read
- Write
- Edit
- Bash
- Glob
- Grep
NeMo Guardrails Skill Capabilities Configure NeMo Guardrails rails Design Colang conversation flows Implement input/output rails Set up topic control Configure jailbreak detection Implement fact-checking rails Target Processes system-prompt-guardrails content-moderation-safety Implementation Details Rail Types Input Rails : Filter user inputsOutput Rails : Filter LLM outputsDialog Rails : Control conversation flowRetrieval Rails : Filter retrieved contentExecution Rails : Control action executionColang Components Flow definitions Bot message templates User message patterns Actions and subflows Configuration Options Rails configuration LLM selection Embedding model Action handlers Custom rail implementations Best Practices Start with built-in rails Design clear flows Test with adversarial inputs Monitor rail activations Dependencies