install
source · Clone the upstream repo
git clone https://github.com/mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills-
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills- "$T" && mkdir -p ~/.claude/skills && cp -r "$T/Skills/AI_Providers/Frontier_OSS_Models_2026" ~/.claude/skills/mdbabumiamssm-llms-universal-life-science-and-clinical-skills-frontier-oss-model && rm -rf "$T"
manifest:
Skills/AI_Providers/Frontier_OSS_Models_2026/SKILL.mdsource content
<!--
# COPYRIGHT NOTICE
# This file is part of the "Universal Biomedical Skills" project.
# Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>
# All Rights Reserved.
#
# This code is proprietary and confidential.
# Unauthorized copying of this file, via any medium is strictly prohibited.
#
# Provenance: Authenticated by MD BABU MIA
-->
name: frontier-oss-models-2026 description: Work with leading open or openly available model ecosystems from Meta, Mistral, DeepSeek, and xAI. Use when evaluating self-hosted or hybrid deployment paths, model tradeoffs, and integration patterns across non-single-vendor stacks. measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:
- read_file
- run_shell_command
Frontier OSS Models (2026)
Workflow
- Identify target deployment mode: hosted API, self-hosted, or hybrid.
- Review provider-specific docs and repos in
.references/sources.md - Compare model choice by licensing, latency, and hardware profile.
- Define eval set before changing production model baselines.
- Roll out through canary traffic with measurable success thresholds.
Output Requirements
- State selected model family and deployment mode.
- List one licensing/compliance check.
- List one rollback condition tied to quality or cost.