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Programming Mode — DSH Plugin for DeepSeek Harness
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dsh-programming-mode

Programming Mode

DeepSeek Harness programming mode bundle: enforces Superpowers engineering discipline on top of standard mode (TDD, systematic debugging, plan before coding, verification before completion, and code review), maintains Ponytail code-size discipline, includes the full set of superpowers and ponytail s

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:ziduup/dsh-programming-mode#860710279d169c4c7848f8b77bfccb4baf338e74
READMECompatibilityVersions

Description

DeepSeek Harness programming mode bundle: enforces Superpowers engineering discipline on top of standard mode (TDD, systematic debugging, plan before coding, verification before completion, and code review), maintains Ponytail code-size discipline, includes the full set of superpowers and ponytail skills, and installs with one-click dsh plugin add.

Compatibility and provenance

Programming Mode is published as dsh-programming-mode and currently resolves to version 0.3.0. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
any
Release source
github
Registry updated
8/31/2026

Versions

0.3.0stable
8/31/2026
0.2.1stable
8/28/2026
0.2.0stable
8/25/2026
Show 1 more versionCollapse versions
0.1.0stable
8/24/2026

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Latest
0.3.0
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
Unavailable
Files
Unavailable
Surface
any
License
MIT
Source
github
GitHub
★ 5
Weekly downloads
0
Last push
9/8/2026
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README

dsh-programming-mode (Programming Mode bundle)

English summary — 完整文档见 README.zh.md。

A DeepSeek Harness bundle that ships the 编程模式 agent preset: the full standard coding agent with its persona replaced by a mandatory Superpowers engineering discipline.

What it enforces

  1. Skills before action (using-superpowers)
  2. Design/brainstorming before building (brainstorming)
  3. Plans before code (writing-plans → executing-plans)
  4. Test-driven development, RED-GREEN-REFACTOR (test-driven-development)
  5. Systematic debugging, root cause first (systematic-debugging)
  6. Verification before completion, evidence over assertions (verification-before-completion)
  7. Code review on significant work (requesting-code-review / receiving-code-review)
  8. Requirement and plan documents written in Chinese for user audit
  9. The full using-superpowers skill is mechanically injected into a new session's very first request batch (engine-level, independent of whether the model calls the skill tool), so the discipline applies from the first sentence
  10. Always-on code-volume discipline (Ponytail): the 7-rung minimal-code ladder (YAGNI → reuse → stdlib → native → installed dependency → one line → minimum) runs at default full intensity in the persona every turn; it governs implementation volume only and never overrides the process rules above. The user can switch with "ponytail lite/ultra" or turn it off with "stop ponytail".

Install

dsh plugin --profile web add github:ziduup/dsh-programming-mode

Restart the profile; the 编程模式 preset then appears in the mode picker. At profile boot the installer plants the bundled preset into the roster's first user-trust preset root — version-stamped, idempotent between equal versions, and it never touches directories it did not plant. Uninstalling the bundle does not delete a planted preset.

Self-contained

All twenty required workflow skills ship inside the preset (preset/programming/skills/): fourteen derived from obra/superpowers and six from DietrichGebert/ponytail, both MIT — see skills attribution. You need nothing in your own skill roots; the bundled copy outranks user skill roots by provider rank, so same-named local skills are shadowed cleanly instead of conflicting.

Trust note

An agent preset carries the same authority as shell access. Installing one means trusting every plugin row it references — review agent.cordis.yml before installing someone else's build.

License

MIT © 子都 (ziduup). Bundled skills retain their upstream MIT terms with attribution in SKILLS-LICENSE.md.