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Explain — DSH Plugin for DeepSeek Harness
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dsh-explain

Explain

DSH learning-mode plugin with a global local-first learning thread.

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

npx -y @deepseek-ai/dsh plugin --profile web add github:yuezengwu/dsh-explain#add65031db18b8be7faba05cc9a49a22f0b54329
READMECompatibilityVersions

Compatibility and provenance

Explain is published as dsh-explain and currently resolves to version 0.3.1. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
web
Release source
github
Registry updated
9/18/2026

Versions

0.3.1stable
9/18/2026
0.3.0stable
8/31/2026
0.2.0stable
8/30/2026
Show 1 more versionCollapse versions
0.1.0stable
8/21/2026

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README

English · 简体中文

dsh-explain — turn everyday work into a private, continuous learning loop

Quick start · Watch the full demo · Privacy model · Reproduce the recording

dsh-explain is a learning-mode plugin for DeepSeek Harness. It turns useful concepts from completed work into structured explanations, schedules lightweight reviews, and lets you inspect or correct what it learns about you.

The primary agent stays untouched. Explain uses its own model calls, scheduler, context, and local SQLite database.

See the learning loop

A real DSH Web flow that captures a completed answer, reviews a concept, corrects a learner preference, and exports local data

The 28-second preview runs against real assembled DSH Web 0.1.2-rc.1 with deterministic, private fixture data. Watch the higher-quality MP4 or read the recording contract.

CaptureReviewAdapt
Turn a finalized answer or selected text into an editable /explain draft. Nothing submits automatically.Revisit due concepts through recall, application, and distinction questions.Inspect explanation preferences and topic familiarity, then correct or forget an inference.

Quick start

The current development and installation baseline is DSH 0.1.6-alpha.2, published on 2026-09-17 and available through npm alpha. npm next and latest both point to 0.1.5-rc.2; all eight previously verified hosts remain supported. Pin the version explicitly; see the compatibility contract for exact source revisions, Session navigation and lifecycle compatibility, and verification.

npx @deepseek-ai/dsh@0.1.6-alpha.2 plugin --profile web add github:yuezengwu/dsh-explain#v0.3.1
npx @deepseek-ai/dsh@0.1.6-alpha.2 --profile web

Open Settings → Learning, choose an auxiliary provider and model, enable learning mode, and save. Explain observes only future completed top-level turns; it does not scan existing history.

Git-hosted plugins build during installation. If pnpm requests build approval, add the printed dsh-explain entry to the profile's pnpm-workspace.yaml, then repeat the install command. For automated runs that should not open a browser, start DSH with --no-open.

v0.3.1 adds DSH 0.1.6-alpha.2 support while retaining all eight previously verified hosts. It fixes source navigation and Explain shortcuts for the new Session API, with live plugin disable/re-enable coverage. Existing learning data remains compatible (SQLite schema 4, backup v3).

Start from the work itself

Entry pointWhat happens
/explain <request>Requests an explanation using the current session as bounded source context.
Explain selected textCreates an editable /explain --selection … draft from visible text.
Learn from this answerCreates an editable draft tied to the exact finalized assistant turn.
Automatic evaluationMay add one useful explanation after an eligible turn, within your configured budget.
/reviewOpens or resumes a local review round in the Learning tab.

Each explanation answers three practical questions: What is it? Why does it matter here? What is the common pitfall? Choose Got it to close the card, or Not yet for a different explanation.

Review, then correct the model

Concepts marked Got it enter a local spaced-review schedule. Learning → Today's review selects up to three due concepts. Each concept advances from recall to application to distinction after successful answers; an unsuccessful answer repeats that skill next time. The auxiliary model evaluates each answer as Mastered, Partial, or Forgotten and schedules the next review at a deterministic interval. Partial or forgotten concepts are treated as learning again and can receive a new explanation; an active explanation pauses that concept's quiz.

Learning → Learning overview exposes the current judgments about explanation length, structure, examples, terminology, and topic familiarity—with confidence and source links. You can correct an inference, forget it, or set an explicit preference. Precedence is fixed and visible: explicit preference → user correction → model inference.

One learning thread, many sessions

  • Every $DSH_HOME owns exactly one Explain learning thread; resumes and forks never copy it.
  • Every source session has at most one explanation awaiting feedback.
  • One global scheduler serializes explanations, reviews, autonomous evaluation, rephrases, and compaction.
  • Autonomous evaluation has a persistent rolling 24-hour budget, configurable in Settings.
  • Rephrasing still works if a source session is later deleted because only a bounded source summary is retained.

Local-first by design

DataBehavior
Learning threadStored in $DSH_HOME/dsh-explain/v1/thread.sqlite.
Enablement and model settingsStored through DSH settings in $DSH_HOME/settings.yaml.
Source materialReduced to bounded capsules; rephrasing retains at most a 2,000-character restricted summary.
Global learning contextSent with bounded source text to the configured auxiliary provider. Local storage does not imply offline model inference.
ExportA versioned local backup excludes private source summaries and filters common credential/path formats in public text. Arbitrary private prose may remain; review before sharing.
ClearA typed CLEAR confirmation atomically removes learned content while preserving runtime settings and the active budget window.

Explain uses first-party DSH conversation, composer, assistant-action, and settings extension points. It does not require patches to DSH or other plugins.

Compatibility and verification

CheckCurrent result
DSH compatibility0.1.6-alpha.2 published packages; 0.1.2-rc.1, 0.1.3-alpha.1, 0.1.3-alpha.2, 0.1.5-alpha.1, 0.1.5-alpha.2, 0.1.5-rc.1, 0.1.5-rc.2, 0.1.6-alpha.1, 0.1.6-alpha.2 assembled source
Unit and integration87 tests on each source version
Assembled DSH Web7 scenarios per source version
Explain-owned shortcuts3 M6 scenarios; alpha.2 also exercises live disable/re-enable
Production packageBuild and pack dry-run
Real auxiliary modelDSH 0.1.6-alpha.1 + deepseek-flash: explanation, rephrase, corrected preference, correct/incorrect review, exact-answer command, export and clear

See the acceptance matrix for coverage and the 2026-09-15 real-model acceptance for the current model route, sample, screenshots, and test limits. DSH remains a developer preview; Explain follows its current public API line instead of retaining compatibility layers for private-preview packages.

Local development

The default development install uses published 0.1.6-alpha.2 API packages, with a version-scoped repair for their missing store runtime dependencies. Assembled-Web tests accept a built DSH checkout for any of the nine versions above. The existing demo recording remains on 0.1.2-rc.1:

pnpm install
DSH_SOURCE_DIR=/absolute/path/to/dsh pnpm dsh:link
DSH_SOURCE_DIR=/absolute/path/to/dsh pnpm dsh:link:check
pnpm typecheck
pnpm test
DSH_SOURCE_DIR=/absolute/path/to/dsh pnpm test:web
DSH_SOURCE_DIR=/absolute/path/to/dsh pnpm test:m6
pnpm build

Install this checkout directly for manual development:

dsh plugin --profile web add /absolute/path/to/dsh-explain
dsh --profile web --dump-config
dsh --profile web

Documentation

DocumentPurpose
Demo productionStoryboard, privacy contract, commands, assets, and artwork provenance.
Product requirementsUser model, scope, policies, and acceptance criteria.
ArchitecturePersistence, scheduling, RPC, UI integration, and failure behavior.
Acceptance matrixAutomated and real-flow evidence.
Iteration planCompleted milestones and follow-up sequencing.

License

MIT