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How to score a Harness setup against a reference scorecard with DeepSeek Harness Handbook

Compare your DeepSeek Harness setup with the handbook's Agent Harness Scorecard to find gaps.

Who it is forA team lead or Agent builder who has to decide whether a DeepSeek Harness setup is ready for real work.

The problemThere is no shared checklist that covers the full Agent boundary, including tools, approval, sandboxing, Sessions, and recovery.

The outcomeA written list of covered and missing boundaries, each tied to a handbook guide to read next.

What you need first

  • A DeepSeek Harness setup you run yourself
  • Browser access to the handbook site and its GitHub pages
  • The exact DSH version and source revision you are running

Steps

  1. Open the Agent Harness Scorecard at https://sandbaseai.github.io/deepseek-harness-handbook/agent-harness-scorecard.html.
  2. Read the Agent runtime map at docs/en/architecture/agent-runtime.md to see how model routing, tools, approval, sandboxing, and Sessions connect.
  3. Mark each scorecard item as present, missing, or unknown for your own setup.
  4. For each missing or unknown item, open the guide the scorecard links to and note the acceptance gate it lists.
  5. Record the DSH version and source revision you checked so the results stay version-specific.

Prompt for your agent

Using the sandbaseai/deepseek-harness-handbook repo, read the Agent Harness Scorecard and the Agent runtime map, then score my setup described as: <setup summary>. Output a table of scorecard items marked present, missing, or unknown, with the guide to read for each gap. Verify that you recorded the DSH version I give you.

Caveat. The scorecard is a reading aid built from the handbook's source-backed guides, so it describes the boundaries to check rather than certifying your setup.

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