Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).
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Low
Low-risk findings worth noting
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tessl review fix ./optional-skills/mlops/training/axolotl/SKILL.mdLow
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
In the required runtime path for inference/training, Axolotl parses the user-provided dataset/config and then tokenizes/uses the dataset’s text/messages, which are outsider-authored free-form strings when the dataset originates from third parties (e.g., Hugging Face hub datasets) and are ingested without first selecting a specific item (streaming/iteration reads the queued dataset examples).
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