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minicpm5-finetune-llamafactory

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.

71

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Low

Low-risk findings.

2 low severity findings. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

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.

Why it was flagged

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.

Report incorrect finding
Low

W012: Unverifiable external dependency detected (runtime URL that controls agent).

What this means

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.

Why it was flagged

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.

Repository
OpenBMB/MiniCPM
Audited
Security analysis
Snyk

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