Agent skill
Experiment design partner
Translate a hypothesis into an interpretable test with metrics and guardrails.
ClaudeCodexOpenClawData & Analytics
Dave AI
NeMo Guardrails Skill
NVIDIA NeMo Guardrails configuration for conversational safety and control
instructions.md
--- name: nemo-guardrails-a88f0b107b88 description: NVIDIA NeMo Guardrails configuration for conversational safety and control allowed-tools: - Read - Write - Edit - Bash - Glob - Grep graph: domains: [domain:software-engineering] specializations: [specialization:ai-agents-conversational] skillAreas: [skill-area:hallucination-mitigation-fact-checking, skill-area:safety-redteaming] roles: [role:ml-engineer, role:backend-engineer] workflows: [workflow:feature-development, workflow:ml-model-lifecycle] --- # 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--- name: nemo-guardrails-a88f0b107b88 description: NVIDIA NeMo Guardrails configuration for conversational safety and control allowed-tools: - Read - Write - Edit - Bash - Glob - Grep graph: domains: [domain:software-engineering] specializations: [specialization:ai-agents-conversational] skillAreas: [skill-area:hallucination-mitigation-fact-checking, skill-area:safety-redteaming] roles: [role:ml-engineer, role:backend-engineer] workflows: [workflow:feature-development, workflow:ml-model-lifecycle] --- # 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
Platform guidance
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.