94/100 (Very Low)

OpenClaw： benign
VirusTotal： benign
StaticScan： unknown

OpenClaw： benign

The skill's requirements and runtime instructions are consistent with its stated purpose (local ML-based construction cost prediction); it is instruction-only, requests only filesystem access, and doe...

[内容已截断]

VirusTotal： benign VT 报告

静态扫描： unknown

README 未提供

{
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        "changelog": "Major update: Adds comprehensive guidance and code for construction cost prediction using multiple ML models.\n\n- Introduces an in-depth SKILL.md with project overview, methodology, and book reference.\n- Provides detailed code snippets for data preparation, feature engineering, and handling inflation adjustments.\n- Offers step-by-step instructions for training and evaluating Linear Regression, K-Nearest Neighbors, Random Forest, and Gradient Boosting models.\n- Includes model evaluation metrics (MAE, RMSE, R², MAPE) and feature importance analysis.\n- Enables easy model comparison for optimal selection.",
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    "ownerHandle": "datadrivenconstruction",
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        "badges": [],
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        "displayName": "Cost Prediction",
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        "slug": "cost-prediction",
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        "summary": "Predict construction project costs using Machine Learning. Use Linear Regression, K-Nearest Neighbors, and Random Forest models on historical project data. Train, evaluate, and deploy cost prediction models.",
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