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dataset-evaluation

80 / 100 · Low risk

Fine to try. Some of what it can do is expected: a coding skill usually runs build and test commands.

By awslabs/agent-plugins (GitHub) · coding · 938 stars · scanned at commit 6947600

Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR). Use when the user says "is my dataset okay", "evaluate my data", "check my training data", "I have my own data", or before starting any fine-tuning job. Detects file format, checks schema compliance against the selected model and technique, and reports whether the data is ready for training or evaluation.

Works with any agent that supports SKILL.md skills.

What this skill can do

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'dataset-evaluation' ] || [ -L ~/.agents/skills/'dataset-evaluation' ]; then echo 'A skill folder named dataset-evaluation already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/awslabs/agent-plugins' "$d" && git -C "$d" checkout --quiet '6947600b07a9b527bb1048b6938eee046c9d36f1' -- 'plugins/sagemaker-ai/skills/dataset-evaluation' && mkdir -p ~/.agents/skills && cp -R "$d"/'plugins/sagemaker-ai/skills/dataset-evaluation' ~/.agents/skills/'dataset-evaluation' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'dataset-evaluation' ~/.claude/skills/'dataset-evaluation' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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