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llm-app-security

Apply operational controls to applications built on the Anthropic API or similar LLM SDKs. Maps the OWASP LLM Top 10 to practical controls, plus rate limiting, cost caps, PII scrubbing, audit logging, model-version pinning, and an AI-incident response playbook. Invoke when shipping an LLM feature to production, when handling an abuse complaint, or after a model-provider advisory.

11estrelas
Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

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/plugin marketplace add GoldenWing-360/claude-security-skills

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Ler descrição completa

LLM App Security

The prompt and the tools are one layer of the story. This skill covers the other layer: the operational side of running an LLM-powered feature in production. The threats are mostly mundane (abuse, cost, leak, compliance), the controls mostly familiar from API security, applied to a substrate that has new failure modes.

Companion to [prompt-injection-defense](../prompt-injection-defense/SKILL.md) (prompt layer) and [ai-agent-guardrails](../ai-agent-guardrails/SKILL.md

[Description truncada. Veja o README completo no GitHub.]

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