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Configurable Transformer Training with Best Model Checkpointing

100 / 100 · Low risk

Fine to try.

By ECNU-ICALK/AutoSkill (GitHub) · other · 613 stars · scanned at commit 94c47ca

Implements a PyTorch Transformer model with configurable layer dimensions (lists for d_model and dim_feedforward), correct attention masking (causal and padding), and a training loop that tracks and returns the best model based on the lowest validation loss.

Works with any agent that supports SKILL.md skills.

What this skill can do

We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.

Install

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

if [ -e ~/.agents/skills/'configurable-transformer-training-with-best-model-checkpointing' ] || [ -L ~/.agents/skills/'configurable-transformer-training-with-best-model-checkpointing' ]; then echo 'A skill folder named configurable-transformer-training-with-best-model-checkpointing already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/ECNU-ICALK/AutoSkill' "$d" && git -C "$d" checkout --quiet '94c47ca488d4ba4117d20272e66d49b9877e68cf' -- 'SkillBank/ConvSkill/english_gpt4_8/configurable-transformer-training-with-best-model-checkpointing' && mkdir -p ~/.agents/skills && cp -R "$d"/'SkillBank/ConvSkill/english_gpt4_8/configurable-transformer-training-with-best-model-checkpointing' ~/.agents/skills/'configurable-transformer-training-with-best-model-checkpointing' && 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/'configurable-transformer-training-with-best-model-checkpointing' ~/.claude/skills/'configurable-transformer-training-with-best-model-checkpointing' (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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