nemo-guardrails
NVIDIA NeMo Guardrails configuration for conversational safety and control
Best use case
nemo-guardrails is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
NVIDIA NeMo Guardrails configuration for conversational safety and control
Teams using nemo-guardrails should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/nemo-guardrails/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How nemo-guardrails Compares
| Feature / Agent | nemo-guardrails | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
NVIDIA NeMo Guardrails configuration for conversational safety and control
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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 1. **Input Rails**: Filter user inputs 2. **Output Rails**: Filter LLM outputs 3. **Dialog Rails**: Control conversation flow 4. **Retrieval Rails**: Filter retrieved content 5. **Execution Rails**: Control action execution ### Colang 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 - nemoguardrails
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