claude

llmops-guardian

Production LLM operations: token cost analysis, caching patterns, model routing, rate limiting, audit logging, prompt-injection defenses, fallback chains. 7 skills.

6 on GitHubby latestaiagentsv2.1.0MITupdated 9 days agoLLMOps
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Plugin llmops-guardian from marketplace latestaiagents in latestaiagents/agent-skills. Commands read from the repo's manifest — 8 days ago.

What it installs

Skills (7)

  • ai-audit-logging

    Use this skill when implementing audit logging for AI systems. Activate when the user needs to track AI decisions for compliance, implement audit trails for LLM usage, meet regulatory requirements (EU AI Act, SOC2), or create accountability records for AI-generated content.

  • llm-fallback-chains

    Use this skill when implementing fallback strategies for LLM applications. Activate when the user needs graceful degradation for AI services, multi-provider failover, handling LLM outages, or building resilient AI systems.

  • llm-rate-limiting

    Use this skill when implementing rate limiting for LLM APIs. Activate when the user needs to prevent API quota exhaustion, implement backoff strategies, handle rate limit errors, or manage concurrent LLM requests.

  • model-routing-strategy

    Use this skill when implementing model selection for LLM applications. Activate when the user needs to choose between different AI models, implement cost-efficient model routing, balance quality vs cost, or build intelligent model selection systems.

  • prompt-caching-patterns

    Use this skill when implementing caching for LLM applications. Activate when the user wants to reduce API costs through caching, implement semantic caching, cache LLM responses, optimize repeated prompts, or set up efficient caching strategies for AI applications.

  • prompt-injection-guard

    Use this skill when securing AI applications against prompt injection. Activate when the user needs to prevent prompt injection attacks, validate AI inputs, implement input sanitization, or protect against adversarial prompts.

  • token-cost-analyzer

    Use this skill when analyzing and optimizing LLM API costs. Activate when the user wants to reduce AI API spending, understand token usage, audit LLM costs, optimize prompts for cost efficiency, or track and report on AI expenditure.

View source on GitHub latestaiagents.com

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