dsh-investment-research
Run the following command in DeepSeek Harness:
dsh plugin install satan9394/dsh-investment-research
Paste the following prompt into your AI chat to install this plugin:
To install this plugin in DeepSeek Harness, run dsh plugin install satan9394/dsh-investment-research (source: https://github.com/satan9394/dsh-investment-research).
About this plugin
Investment research demands a structured rhythm—gathering data, building logical chains, and drawing conclusions—yet general-purpose LLM conversations rarely sustain that discipline on their own. dsh-investment-research is a DeepSeek Harness plugin in the agent-workflow category, built to slot investment-research tasks into a coherent Agent pipeline so the model works through predefined analytical stages rather than relying on a single ad-hoc prompt.
As a workflow-oriented plugin, its core role is to decompose the research process into sequential, ordered steps within the DeepSeek Harness framework, channeling Agent capabilities into the investment-research vertical. Users do not need to hand-craft multi-turn prompt chains; invoking the plugin inside Harness gives them a structured workflow context purpose-built for research-oriented agent interactions.
It is best suited for analysts, researchers, or anyone operating in the DeepSeek Harness ecosystem who wants to constrain Agent reasoning to an investment-research flow and reduce the noise of open-ended generation. The project is released under the MIT license and can be freely integrated into existing pipelines.
Use Cases
- Orchestrating structured investment-research pipelines inside DeepSeek Harness
- Plugging investment-research tasks into an Agent workflow to constrain reasoning flow
- Running multi-step Agent conversations tailored to the investment-research domain within Harness
Best For
- Analysts using DeepSeek Harness for investment analysis
- Researchers who want to focus Agent capabilities on the investment-research pipeline
- Developers building vertical workflows within the Harness ecosystem
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