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dsh-habit

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@max-null/dsh-habit · v0.2.0 · MIT

Self-learning habit engine for the DeepSeek Harness — detects user-correction signals, judges habits with a low-cost model on threshold, settles candidates behind a two-level human gate

安装

dsh plugin add @max-null/dsh-habit

dsh --profile default --dump-config 确认 layer 已生效 —— 参见安装指南

源码

标签

说明文档

@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) 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.