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Everything your AI needs, in one place.

Ready-made agents, skills, personas, prompts, templates and tools. Each one is checked before it goes live, works with any model, and installs in a click. Rate what you use so the best rises to the top.

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7 results
Skill

nemo-guardrails

NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.

by davila7skills.sh
Not rated yet
Free
Skill

nemo-guardrails

NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.

by orchestra-researchskills.sh
Not rated yet
Free
Skill

nemo-guardrails

NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.

by ovachieverskills.sh
Not rated yet
Free
Skill

defending-llms-with-guardrails

Deploys Llama Guard 3 safety classification, NeMo Guardrails programmable dialogue rails, and LLM Guard input/output scanner pipelines as complementary runtime defenses that inspect and constrain LLM

by mukul975skills.sh
Not rated yet
Free
Skill

implementing-llm-guardrails-for-security

Implements input/output validation guardrails for LLM applications using NVIDIA NeMo Guardrails (Colang), custom Python validators for PII detection, and the Guardrails AI framework, intercepting user

by mukul975skills.sh
Not rated yet
Free
Skill

securing-agentic-ai-tool-invocation

Implements defense-in-depth controls at an AI agent's tool-invocation boundary using tool allowlisting, least-privilege identity binding, NeMo Guardrails policy enforcement, human-in-the-loop approval

by mukul975skills.sh
Not rated yet
Free
Skill

defending-llms-with-guardrails

Deploy Llama Guard, NeMo Guardrails, and LLM Guard input/output scanners as runtime defenses.

by andycungkrinx91GitHub
Not rated yet
Free
1

Find

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2

Install

One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.

3

Rate and publish

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Prefer the terminal? osr stack apply registry://starter installs the starter template.