Security checks across malware telemetry and agentic risk
This skill appears to be a civil-engineering AI helper that processes user-provided images and sensor data and writes analysis outputs, with no evidence of hidden theft, destruction, or deceptive behavior.
Install only in a controlled Python environment, use trusted input files and telemetry sources, and avoid uploading confidential infrastructure data unless you are comfortable with local analysis outputs being written to the configured output directory. Pin or lock dependencies before production use.
# ============================================ # 核心科学计算 # ============================================ numpy>=1.21.0 pandas>=1.3.0 scipy>=1.7.0
# 核心科学计算 # ============================================ numpy>=1.21.0 pandas>=1.3.0 scipy>=1.7.0 # ============================================
# ============================================ numpy>=1.21.0 pandas>=1.3.0 scipy>=1.7.0 # ============================================ # 机器学习
# ============================================ # 机器学习 # ============================================ scikit-learn>=1.0.0 xgboost>=1.5.0 lightgbm>=3.3.0 gpytorch>=1.8.0
# 机器学习 # ============================================ scikit-learn>=1.0.0 xgboost>=1.5.0 lightgbm>=3.3.0 gpytorch>=1.8.0 # 可选：贝叶斯优化
# ============================================ scikit-learn>=1.0.0 xgboost>=1.5.0 lightgbm>=3.3.0 gpytorch>=1.8.0 # 可选：贝叶斯优化 optuna>=3.0.0
scikit-learn>=1.0.0 xgboost>=1.5.0 lightgbm>=3.3.0 gpytorch>=1.8.0 # 可选：贝叶斯优化 optuna>=3.0.0
lightgbm>=3.3.0 gpytorch>=1.8.0 # 可选：贝叶斯优化 optuna>=3.0.0 # ============================================ # 深度学习
# ============================================ # 深度学习 # ============================================ torch>=1.10.0 torchvision>=0.11.0 # 可选：TensorFlow 后端 # tensorflow>=2.8.0
# 深度学习 # ============================================ torch>=1.10.0 torchvision>=0.11.0 # 可选：TensorFlow 后端 # tensorflow>=2.8.0
# ============================================ # 计算机视觉 # ============================================ opencv-python>=4.5.0 opencv-contrib-python>=4.5.0 pillow>=9.0.0 # 可选：图像增强
# 计算机视觉 # ============================================ opencv-python>=4.5.0 opencv-contrib-python>=4.5.0 pillow>=9.0.0 # 可选：图像增强 albumentations>=1.0.0
# ============================================ opencv-python>=4.5.0 opencv-contrib-python>=4.5.0 pillow>=9.0.0 # 可选：图像增强 albumentations>=1.0.0
opencv-contrib-python>=4.5.0 pillow>=9.0.0 # 可选：图像增强 albumentations>=1.0.0 # ============================================ # 信号处理
# ============================================ # 可视化 # ============================================ matplotlib>=3.5.0 plotly>=5.5.0 seaborn>=0.11.0
# 可视化 # ============================================ matplotlib>=3.5.0 plotly>=5.5.0 seaborn>=0.11.0 # ============================================
# ============================================ matplotlib>=3.5.0 plotly>=5.5.0 seaborn>=0.11.0 # ============================================ # 数据格式
# ============================================ # 数据格式 # ============================================ h5py>=3.6.0 hdf5storage>=0.1.18 openpyxl>=3.0.0 # Excel 读写
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