The Agent Skills Directory

[INDIRECT_PROMPT_INJECTION]: The skill ingests external datasets from Hugging Face for model fine-tuning, which is the intended primary purpose of the skill.
Ingestion points: The skill loads datasets such as 'trl-lib/Capybara' and 'trl-lib/tldr' using the datasets.load_dataset function across all major workflows in SKILL.md and reference files.
Boundary markers: As a fine-tuning tool, it does not implement specific delimiters for embedded instructions within the training data.
Capability inventory: The skill is capable of performing model training (compute) and writing model weights to the local filesystem using trainer.save_model().
Sanitization: No data sanitization is performed on training inputs, which is standard for the supervised fine-tuning and reinforcement learning processes described.
[EXTERNAL_DOWNLOADS]: Fetches pre-trained models and preference datasets from Hugging Face's official repositories (e.g., 'Qwen/Qwen2.5-0.5B' and 'trl-lib/ultrafeedback_binarized').
[COMMAND_EXECUTION]: Provides CLI instructions for executing training scripts using python -m trl.scripts.ppo and the trl command-line interface for alignment tasks.

fine-tuning-with-trl