Who it is forA developer whose DSH agent gives poor answers on long tasks and who wants to see what is using the context window.
The problemThe context window is a black box, so it is unclear why answers degrade or what is being compressed.
The outcomeA dashboard shows window composition against size, per-request history, compression events and per-message token stats.
What you need first
- DeepSeek Harness (DSH) installed, with the dsh command available
- Access to the target plugin repo on GitHub, which should carry the #dsh topic
- A DSH profile to install plugins into (the examples use the profile name web)
Steps
- Run
npx @deepseek-ai/dsh webto launch the DSH Web UI. - Confirm the plugin repo at github.com/bowenliang123/dsh-context carries the #dsh GitHub topic.
- Run
dsh plugin --profile web add "github:bowenliang123/dsh-context#main"to install the plugin. (inferred, check the README) - Run a multi-step task in DSH and open the context dashboard.
- Compare window composition with the per-request history to find the largest source of tokens.
Prompt for your agent
Using the DSH list at https://github.com/Dominic789654/awesome-deepseek-harness, install the dsh-context plugin from github.com/bowenliang123/dsh-context. Run <task-description> in DSH and report the three largest parts of the context window with their token counts. Verify by matching the totals against the per-request history.
Caveat. The list describes what the plugin shows, but its exact display and data sources need to be checked in the plugin repo.
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