Individual skill
model-selection
Selects a base model for the user's use case by querying SageMaker Hub. Use when the user asks which model to use, wants to select or change their base model, mentions a model name or family (e.g., "Llama", "Mistral", "Nova"), or wants to evaluate a base model — always activate even for known model names because the exact Hub model ID must be resolved. Queries available models, presents benchmarks and licenses, and confirms selection.
plugins/sagemaker-ai/skills/model-selection/SKILL.md
Source commit fbefb3764e67558fe10ac834dd85db49734aa9b6
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 4, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 937
- Repository last updated
- Nov 5, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- agents Repository topic
- coding-agent-skills Repository topic
- coding-agents Repository topic
- agent-plugins Repository topic
- aws Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 3,396 bytesSKILL.mdcore · 3,396 bytesreferences/benchmarks/agenticIndex.mddoc · 2,866 bytesreferences/benchmarks/codingIndex.mddoc · 2,890 bytesreferences/benchmarks/gpqa.mddoc · 2,830 bytesreferences/benchmarks/hle.mddoc · 2,875 bytesreferences/benchmarks/ifbench.mddoc · 2,807 bytesreferences/benchmarks/intelligenceIndex.mddoc · 2,809 bytesreferences/benchmarks/mmmuPro.mddoc · 3,034 bytesreferences/benchmarks/tau2.mddoc · 2,884 bytesreferences/model-licenses.mddoc · 8,009 bytesreferences/model-selection.mddoc · 8,201 bytesscripts/get_model_names.pyruns · 1,041 bytes
Read excerpt
# Model Selection
Guides the user through selecting a base model based on their use case.
## When to Use
- User asks which model to use
- User wants to select or change their base model
- User mentions a model name or family (e.g., "Llama", "Mistral", "Nova") — the exact Hub model ID still needs to be resolved
- User wants to evaluate a base model before deciding whether to finetune
## Prerequisites
- A `use_case_spec.md` file exists. If not, activate the use-case-specification skill to generate it first.