lolipop-1x1/dsh-you-should-know ↗★ 0

dsh-you-should-know

在 DeepSeek Harness 任务中提醒用户理解重要事实和方案取舍。 适合需要决策提醒的DSH用户,在任务中自动提示关键事实与方案取舍。

パッケージ
dsh-you-should-know
互換性
未検証
Harness ピア範囲
>=0.2.0-rc.2 <0.3.0-0
Cordis ピア範囲
^4.0.4 || ^4.0.5-alpha.1
バージョン
0.1.0
ライセンス
MIT
最終更新
2026/10/03

インストール

$npx -p @deepseek-ai/dsh dsh plugin --profile web add github:lolipop-1x1/dsh-you-should-know

ドキュメント

README 全文を読む ↗

Usage

Automatic observation is enabled by default, and the observer follows the main session model. Existing saved settings are preserved. Start a task normally; short tasks usually do not reach a check, and a note is not guaranteed on every turn.

ActionResult
Learn moreView the reason and impact; reuse an existing explanation in the same language when available
Knew this already / UnderstoodSave the topic to reduce repeated notes
Chat in main sessionInsert the note and explanation only when there is no draft or attachment; you send it
DismissClose the note and briefly offer feedback options
Minimize / Open noteChange the panel display without submitting feedback or marking the topic as understood

Notes help you understand a task. They are not fact checks or execution reviews: they may miss important details or be inaccurate. Bring a note into the main session when you want to discuss it further.

Usage and data

Automatic observation makes extra model calls, even when no note appears. The plugin currently uses full conversation context without trimming or an extra summarization call. Disable observation, increase the interval, or set a per-turn limit to control extra calls. Expanding a note makes a separate model request when no usable explanation exists. Cancellation does not guarantee that remote billing stops.

Requests use the model services already configured in Harness. When you select an independent observer model, full context is sent to that model's provider. The plugin does not store its own API keys, add telemetry, or upload feedback externally.

Notes, explanations, topics, and required interaction state are saved in the Harness storage domain; the host manages the path and backend. Full request snapshots stay in memory only. Prompts ask the model not to repeat credentials or personal information in notes, but this does not remove such information from the full context sent to the model.