{"eval":{"version":"openagentskill-skill-eval-v1","slug":"cubist38-mlx-openai-server","name":"Mlx Openai Server","generated_at":"2026-07-03T23:37:55.913Z","task_input":"Evaluate Mlx Openai Server before installing it in an AI agent workflow","status":"review","score":81,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Review the audit page, then allow agent install in a sandboxed workflow.","auto_install_allowed":false,"policy":"review","human_review_required":true},"task_fit":{"score":94,"suited_tasks":["GitHub automation workflows","Claude Code teams","builders willing to evaluate younger projects","Inspect repository metadata","Compare code changes","Write concise engineering summaries","Read media metadata","Convert formats"],"suited_agents":["Python","Image Generation","Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"]},"install":{"command":"npx skills add cubist38/mlx-openai-server","ready":true,"policy":"review","safety_label":"Review before install","targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx skills add cubist38/mlx-openai-server"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Mlx Openai Server\" agent skill from https://github.com/cubist38/mlx-openai-server. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: A high-performance API server that provides OpenAI-compatible endpoints for MLX models. Developed using Python and powered by the FastAPI framework, it provides an efficient, scalable, and user-friendly solution for running MLX-based vision and language models locally with an OpenAI-compatible interface."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"Mlx Openai Server\" as a Claude Code skill from https://github.com/cubist38/mlx-openai-server. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: A high-performance API server that provides OpenAI-compatible endpoints for MLX models. Developed using Python and powered by the FastAPI framework, it provides an efficient, scalable, and user-friendly solution for running MLX-based vision and language models locally with an OpenAI-compatible interface."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"Mlx Openai Server\" from https://github.com/cubist38/mlx-openai-server into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: A high-performance API server that provides OpenAI-compatible endpoints for MLX models. Developed using Python and powered by the FastAPI framework, it provides an efficient, scalable, and user-friendly solution for running MLX-based vision and language models locally with an OpenAI-compatible interface."}]},"trust":{"score":80,"label":"Strong shortlist","version":"trust-score-v4","evidence":{"stars":"345 GitHub stars","repoActivity":"345 stars, 65 forks","lastPushed":"18d since push","license":"MIT","repository":"https://github.com/cubist38/mlx-openai-server","install":"npx skills add cubist38/mlx-openai-server","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, network or browser access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"}},"audit":{"score":86,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Quality score needs review"]},"safety_gate":{"score":70,"tier":"reviewed","label":"Reviewed","auto_install_policy":"review","blocked":false,"permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"}],"policy_warnings":["Quality score needs review"]},"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":94,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate Mlx Openai Server before installing it in an AI agent workflow","media-automation","GitHub automation workflows; 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