# Mlx Adopt > Verify and recommend an MLX model for a requested role. - Skill: `cavi-ai/mlx-adopt` (Agent Skill, multi-file: 45 files) - Install (CLI): `npx skillmds@latest add cavi-ai/mlx-adopt` - Raw SKILL.md: https://api.skillmd.com/api/skills/cavi-ai/mlx-adopt/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: cavi-ai (https://skillmd.com/u/cavi-ai) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/cavi-ai/mlx-adopt --- # MLX Adopt Resolve `` as the absolute directory containing this SKILL.md. Never resolve the bundled executable from the shell working directory. canonical capability ID: mlx-agent.adopt Use the durable adoption state owned by the structured CLI. Start with a user-visible state path and requested roles: `python3 /scripts/mlx-agent adopt start --state --role --json` If the state already exists or an earlier run was interrupted, continue it with: `python3 /scripts/mlx-agent adopt resume --state --json` Report the CLI state and recommendations. Do not recreate adoption policy in this adapter. This operation must not download model weights or change configuration; any later download or mutation requires explicit user confirmation and the reviewed CLI preview. Tool-use is canonical; agentic is descriptive only. Models verified to invoke supplied tools with schema-valid arguments. Tool-use membership is additional, so a model may retain its primary role. Its recommendation minimum is verified: metadata is not verification, and recommendation requires verified evidence from a schema-valid synthetic runtime tool call. Manifest safety says automatic model downloads are disabled; verification must not pull, install, or download models. Report unsupported runtimes explicitly. If none is verified, recommend none; never use a fallback.