NeMo Guardrails
Skill Verified ActiveNVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.0 DSL for programmable rails. Production-ready, runs on T4 GPU.
To provide a programmable, production-ready runtime safety framework for LLM applications, ensuring security, accuracy, and ethical compliance.
Features
- Programmable runtime safety rails with Colang 2.0 DSL
- Jailbreak detection and prompt injection prevention
- Input and output validation for LLM interactions
- Fact-checking and hallucination detection
- PII filtering and toxicity detection
- Integration with external moderation tools (Presidio, LlamaGuard)
Use Cases
- Implementing robust safety mechanisms for production LLM applications
- Preventing prompt injection attacks and jailbreaking attempts
- Validating LLM inputs and outputs for accuracy and safety
- Filtering sensitive personal information (PII) from LLM interactions
- Ensuring LLM responses are factual and non-toxic
Non-Goals
- Replacing LLM training-time safety mechanisms
- Providing a general-purpose LLM prompt engineering tool
- Acting as a data pipeline or ETL tool outside of LLM interaction safety
Workflow
- Define safety rules and flows using Colang 2.0 DSL.
- Configure LLM parameters and integrate custom actions or external models.
- Instantiate LLMRails with the defined configuration.
- Generate LLM responses through the configured rails.
- Handle potential safety violations by blocking or refining output.
Practices
- Runtime Safety
- Input Validation
- Output Validation
- PII Filtering
- Toxicity Detection
Prerequisites
- Python 3.8+
- nemoguardrails library
Scope
- info:Tool surface sizeThe SKILL.md defines a framework with flexible Colang flows and custom actions, rather than a fixed set of tools, making direct tool count difficult. The examples showcase a few core concepts.
Installation
npx skills add davila7/claude-code-templatesRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
Similar Extensions
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