sk Skill · ShieldNet-360
llm-app-security
Securing a feature that calls an LLM: prompt injection as an unsolved input problem, bounding what model output is allowed to reach, tool authorization against the human rather than the model, approval gates on consequential actions, RAG context provenance, system-prompt leakage, and cost limits. Use when sending prompts to an LLM API, building a RAG pipeline, giving a model tools, rendering or executing model…
Open on skills.sh ↗read 2026-09-15
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- Related entries
- 1
- Connections
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Goprevention
- Host repository
- ShieldNet-360/secure-vibe
- Category
- prevention
- Version
- 2.0.0
- Compatible with
- when generating code that sends a prompt to an LLM API, when building a RAG pipeline or feeding retrieved / tool output back into a prompt, when giving a model tools, function calls, or the ability to act, when rendering or executing model output (UI, SQL, shell, file, HTTP), when exposing an LLM-backed endpoint to users
- Host stars
- 22
- Host language
- Go