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dsh-task-estimator

Client Updated 2026.08.16

Run the following command in DeepSeek Harness:

dsh plugin install 0x250-t/dsh-task-estimator

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install 0x250-t/dsh-task-estimator to install this plugin from https://github.com/0x250-t/dsh-task-estimator; restart the web GUI after installation.

About this plugin

Running a multi-turn Agent session in the DeepSeek Harness web GUI, the hardest part is rarely the task itself; it is not knowing how much longer it will take, how many tokens it has burned, or what the final bill will look like. dsh-task-estimator surfaces all three in the session title bar: hover one button and you get a trend-extrapolated remaining-time and finish estimate, a per-model and time-slot (peak/off-peak) cost breakdown in about CNY, and a real-time duration prediction for the round currently in flight.

The standout feature is the optional AI estimate: a lightweight completion call to the session's current model produces a PERT three-point projection (optimistic, most-likely, pessimistic minutes and expected value), remaining round and token forecasts, a task-complexity grade from XS to XL, and a reliability alert whenever the expected duration exceeds that model's p80 threshold. The price table is editable, refresh intervals accept fractional minutes, the panel appears on hover and pins on click, and touch devices degrade gracefully, all without interrupting your workflow.

If you regularly run long DSH sessions, care about per-model billing, or want a quick gut-check on whether a task is within the stable range of the current model, this plugin gives you a number before you start and a live pace readout the whole way through.

Use Cases

  • Get a quick remaining-time and cost readout during long sessions
  • Use AI estimation before launching to check if a task fits the model capability
  • Verify per-model and per-slot API spending is within expectations

Best For

  • Developers who regularly run multi-turn Agent sessions in DSH
  • Teams that track per-model API costs and billing
  • Users who want a quick feasibility check before launching long tasks