In model inference or agent development workflows, generating periodic summaries (such as weekly reports) often involves tedious text organization. The core philosophy of DeepSeek Harness (DSH) is “everything is a plugin”; by extending the plugin system, features can be added without modifying core code. dsh-weekly-report is one of the tools in this ecosystem, designed to address the need for generating such periodic reports.
This is a plugin maintained by uckkk and categorized as model inference. It provides a structured way to generate weekly reports, with a core tool named weekly_report.
Core Features¶
The plugin provides the following capabilities:
- Structured method: Provides the
weekly_reporttool, which supports returning the structured method based on parameters. - No network dependency: Pure Node implementation; no external network connection is required at runtime.
Installation and Activation¶
Add the plugin using the official installation command:
dsh plugin add github:uckkk/dsh-weekly-report
After installation, the plugin will register the corresponding tools in the current session.
Usage¶
You can directly invoke the tools registered by the plugin within a session. For specific parameters, refer to the plugin’s documentation definitions.
Technical Details¶
- Dependency requirements:
@deepseek-ai/cordis: ^4.0.1@deepseek-ai/dsh-tools: >=0.1.0-rc.6
- License: MIT
- Implementation: Pure Node.js implementation.
Conclusion¶
dsh-weekly-report is a lightweight tool focused on providing structured weekly report generation capabilities. The community directory has no official affiliation with DeepSeek or Huanfang, and the plugin is provided solely as an open-source tool. For more details, see the directory page or the GitHub repository.
