Skip to content
cccskills

Results for “colang”

5 skills · sorted by relevance

nemo-guardrails

FreeSummary

Configure safety checks for LLM applications with NeMo Guardrails. Covers attempts to bypass safety rules, input and output validation, masking personal information, and checking factual claims through programmable rules and integrations.

  • Detecting instructions that try to bypass safety rules
  • Masking personal information before processing
  • Adding factual checks to generated answers
davila7/claude-code-templates32.7KUpdated Oct 18, 2026

Generates NeMo Guardrails Colang (.co) files and YAML config blocks from a plain-language description of a chatbot's purpose, allowed behaviors, and constraints. Use this skill whenever a user wants to build guardrails for a chatbot, define allowed intents for an LLM, create an AI firewall with NeMo Guardrails, generate Colang flow definitions, or configure a semantic allow-list for a bot. Trigger this skill even when the user just describes what their bot should and shouldn't do — generating the Colang and YAML is almost always what they need next.

The English summary is being prepared. Showing the original description.

ShulkwiSEC/bb-huge23Updated Jul 11, 2026

nemo-guardrails

FreeSummary

Add safety checks to LLM applications with NeMo Guardrails. This skill guides input and output validation, detection of attempts to bypass safety rules, personal information masking, and checks for unsupported or inaccurate answers.

  • Detect attempts to bypass an AI app's safety rules
  • Mask personal information before processing
  • Add fact-checking to generated answers
Orchestra-Research/AI-Research-SKILLs13.7KUpdated Oct 11, 2026

Framework de segurança em runtime da NVIDIA para aplicações LLM. Com detecção de jailbreak, validação de entrada/saída, verificação de fatos, detecção de alucinações, filtragem de PII, detecção de toxicidade. Usa DSL Colang 2.0 para rails programáveis. Pronto para produção, executa em GPU T4.

The English summary is being prepared. Showing the original description.

artubss/SKILLS-CLAUDE-CODE11Updated May 17, 2026

Implements input and output validation guardrails for LLM-powered applications to prevent prompt injection, data leakage, toxic content generation, and hallucinated outputs. Builds a security validation pipeline using NVIDIA NeMo Guardrails Colang definitions, custom Python validators for PII Tespit and content policy enforcement, and the Guardrails AI framework for structured output validation. The guardrails system intercepts both user inputs (blocking injection attempts, stripping PII, ...

The English summary is being prepared. Showing the original description.

MustafaKemal0146/fetih5Updated Oct 11, 2026