Configuration management tool (CMT), as an essential part of automated system operations, is an important technique to achieve DevOps (development and operations). There are a large amount of reusable CMT artifacts in the internet-scale open source communities and repositories. However, the lack of effective hierarchical categorization leads to the difficulties of effective retrieval and usage of those artifacts. This paper addresses the issue by proposing a hierarchical categorization method for CMT artifacts based on their online unstructured descriptions. This method firstly constructs a category system based on the co-occurrences of tags, and then designs the classifiers based on the features of CMT artifacts, including name and description. To improve the effectiveness of classifications affected by the unbalanced data set, the method builds a hybrid model to divide the sample data. Finally, extensive experiments are carried out to evaluate the method on more than 11000 CMT artifacts. The results show that this improved method based on hybrid model achieves up to 0.81 precision, 0.88 recall and 0.85 F-measure. Comparing to traditional approaches, the recall and F-measure of CMT artifacts classification improve significantly. The effectiveness of this method is verified.