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Review multi-tenant AI deployments for cross-tenant context leakage, LoRA adapter contamination, shared inference worker risks, system prompt bleed, and tenant isolation failures in model serving infrastructure.
multi-tenant-model-isolation is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Multi-Tenant Model Isolation ## First Principle **In a multi-tenant AI system, every shared resource is a potential cross-tenant channel. The question is not. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding multi-tenant-model-isolation to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install maruakshay/mii-ai-securityReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# Multi-Tenant Model Isolation ## First Principle **In a multi-tenant AI system, every shared resource is a potential cross-tenant channel. The question is not whether leakage is p