dsh-habit
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dsh-habit

Max-Null/dsh-habit

内置自学习机制的习惯管理引擎,支持自定义纠正信号注入、智能阈值判断,搭配两级人工校验关卡,可灵活适配不同使用习惯,操作流程清晰可控。

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一键安装扩展 / 插件指令
dsh plugin --profile web add github:Max-Null/dsh-habit
git clone https://github.com/Max-Null/dsh-habit.git
git clone git@github.com:Max-Null/dsh-habit.git
README.md main

@max-null/dsh-habit

Self-learning habit engine for the DeepSeek Harness — observes user-correction
signals from session events, judges habits with a low-cost model on threshold,
and settles candidates behind a two-level human gate. No new agent role: the
judgment is an event-driven plugin, immune to context decay.

The loop

① observe   session/event → correction-signal detection (deterministic, zero-token)
② judge     >=3 signals in one session → one flash call (evidence slices + existing habits)
③ settle    candidate zone → user confirms → dsh-memory remember() (suggested)
            → user confirms again → auto → recall injection

Compose

- id: habit
  name: '@max-null/dsh-habit'

Requires storage and llm in the host composition (dsh-base ships both).
Installs as a bundle: dsh plugin --profile <name> add @max-null/dsh-habit.

Service

  • ctx.habit — the engine:
    • snapshot() → candidates (newest first)
    • confirm(id) / discard(id) → first-level human gate
    • (the second gate is dsh-memory's own suggested→auto confirmation)

Config

Field Default Meaning
signalThreshold 3 Correction signals before one judgment call
provider deepseek-official Judgment model provider
model deepseek-v4-flash Judgment model (cheap, deterministic)
storageRoot $DSH_HOME/storages/habit JSON storage root

Design notes

  • Deterministic observation, LLM on demand: correction detection is a
    fixed phrase list + length cap (task descriptions are not corrections);
    the LLM only runs when a session accumulates enough signals.
  • Two-level human gate: candidates must be confirmed in the UI AND then
    pass dsh-memory's own suggested→auto gate. The model can never promote its
    own habits.
  • Narrow input for quality: the judgment call gets at most 5 evidence
    texts plus the existing habit list — judgment quality comes from precise
    context, not volume.

Develop

npm install --legacy-peer-deps
npm test
npm run typecheck
npm run build

SSID 系列

本插件属于 *`@max-null/插件系列**——这一系列共同构成 **[SSID(思灵 · Seek Soul in Darkness)](https://github.com/Max-Null/seek-soul-in-darkness)** 桌面体验。SSID 是整合它们的盒:dsh-chat-rail·dsh-chinese-thinking·dsh-draft-polish·dsh-guardian·dsh-habit·dsh-header-unify·dsh-memory·dsh-node-appearance·dsh-plugin-center·dsh-skill-mcp-center·dsh-ssid-panels·dsh-ssid-zh-ui`。

This plugin belongs to the *`@max-null/` family — a set of plugins that together form the SSID (思灵 · Seek Soul in Darkness)** desktop experience.