re-ai-model

SkillFiles & storage

Lets your agent inspect AI model files like ONNX or PyTorch to reconstruct their structure and extract weights.

Unavailable. Reviewed instructions are unavailable in ahel. This skill cannot be added until its reviewed copy is available.

Reviewed instructions are unavailable in ahel. This skill cannot be added until its reviewed copy is available.

About this skill

Reverse engineering and static analysis of AI model files: parsing of ONNX/PyTorch/Safetensors/TFLite formats, network structure reconstruction, weight extraction, file-level watermark analysis (weight pattern/metadata/tensor hash/embedding anomalies). Trigger words: 模型文件, 权重提取, ONNX解析, safetensors,

Signals

GitHub stars: 109
Forks: 16
Last commit: Sep 2026

Advanced

Item type: skill
Key: re-ai-model
Source: github.com/dslsdzc/rev-skills

github.com/dslsdzc/rev-skills

re-ai-model

Signals

Related picks