Fine-tune MiniCPM5-1B with LLaMA-Factory (YAML-driven SFT / DPO / WebUI). Use when the user wants to fine-tune via LLaMA-Factory, llamafactory-cli, mentions YAML configs, WebUI, or asks for the most-documented community framework.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
2 low severity findings. 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.
SKILL.md’s required workflow reads outsider-authored dataset free text from `${DATA_DIR}/your_data.jsonl` (messages `content` strings) into the training pipeline/LLM context via the LLaMA-Factory YAML dataset_dir/dataset mapping, so any non-user-authored dataset text could be ingested.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill loads the external model "openbmb/MiniCPM5-1B" at runtime (from_pretrained) and explicitly delegates prompt templating to the model's own chat_template.jinja, so content from the external model repo (openbmb/MiniCPM5-1B) directly controls prompts.
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