Plugins

给小朋友的编程学习启蒙插件：一个包 = 一张 🐵「小教室·跑代码」卡片（真跑 Python/海龟画图）+ 五个模型工具（kid_run / kid_explain / kid_practice / kid_review / kid_steps），零第三方依赖、无构建步骤。

Select any text in a DSH conversation and tap Ctrl to get an inline sub-topic card: streaming answer, follow-up tree, and drag-to-quote reference chips.

Explains computer memory as a workbench: current usage, memory pressure and top programs.

Kids' coding classroom: run Python and LOGO-turtle code, explain, practice, review and step through programs.

Explain a selected word or sentence from a DSH conversation in a floating window: a channel of its own that leaves the session untouched, and the answer can be pinned to a session of its own.

Explain supported DSH plugin failures with composition source paths and manual next steps: duplicate insertions, missing bundle patches and peer mismatches; standalone CLI and report viewer, read-only diagnosis offline by default, with unobserved runtime left unknown.

Select text in any Windows app to explain or translate it with the Harness agent, answered in a native always-on-top overlay.

A tiny octopus desktop pet that explains AI-jargon in plain language for the DeepSeek Harness web GUI.

Update copilot for DeepSeek Harness: one scan covers the DeepSeek Harness core and every profile plugin; explains what changed and how risky each update is, then updates only what you confirm.

Live per-task token cost widget: peak/valley pricing windows, projected post-hike costs, sortable per-task cost table, multi-currency (COP/USD/CNY + ~40 more) with FX rates, and one-click streamed LLM explain of expensive tasks.

Adds model speed tests to the DSH model picker and, on desktop, a plain-language "explain this error" button on failed turns with a user-selectable explainer model.

Explains Chinese internet memes to an agent: registers a meme_explain tool that returns the meaning, tone, origin and lifecycle of a sticker, which memes can and cannot be combined, occasions to avoid, and both a meme-version and a plain-version reply. Answers come from a local memory store with spacing-effect decay, falling back to a user-configured OpenAI-compatible vision endpoint (BYOK).

Yugan Huafang (语感花房) is a personal voice workshop for DeepSeek Harness: your own writing and corrections become explainable local style rules, optionally distilled by the current model, then compiled into a preset you pick per session; edits apply on the next message in that session.

A self-justification gate for outbound claims: a claim needs a checkable source (an http(s) URL plus a quote of at least 8 characters), every number in the text must appear in a quote, and a quote whose vocabulary overlap with the post is under 10% counts as an invalid citation; absolute wording is rejected when the only evidence is second-hand. All verdicts come from deterministic rules — no model call, no network. The guard subcommand refuses to run the publish command when the gate fails (fail-closed), explains what is wrong and how to fix it, and requires an --ack note on the second attempt stating what changed; after three attempts it stops and hands back to a human. Ships check / explain / fix / guard, with 30 tests.

Zhinao (second brain) for DeepSeek Harness: Markdown-authoritative layered memory (L1 long-term model gated by user confirmation / L2 knowledge with mandatory sources / L3 recent status under daily quotas), a local recall ledger explaining every injection, lifecycle engine with weekly review and a Web panel. First-run wizard initializes a blank brain, adopts an existing Zhinao directory read-only, or fills in only missing skeleton files; existing files are never touched.

Adds contextual guidance for explaining technical misconceptions in conversations.

Derived from joeseesun/qiaomu-reader-dsh (not an official successor; do not install both - both use the qiaomu-reader plugin id): read documents beside native DSH chats, explain or translate selected passages, and return through document history. Development preview verified only on Windows with DSH 0.2.1-rc.5.

Codebase knowledge graphs for DeepSeek Harness: seven graphify_* Agent tools, a /graphify command, and a Graphify page build and query a project graph locally with AST parsing (no API key), plus path/explain/god-node lookups and wiki/HTML/SVG/GraphML/Obsidian exports. Requires the graphify CLI (graphifyy); only full document/PDF/image extraction needs an LLM key.

Zero-friction quick ask for DSH: select text in chat, Markdown/code, rendered HTML reports, or the better-sidebar editor. The default answer starts automatically (English prose is translated, a term is explained, a question is answered); typing cancels it. Answers stream from a one-shot completion on the main window's model, inherit a read-only conversation snapshot, read the selected file as context (up to 20,000 characters by default), and never write to the main session. One-line install; host routes, client slots, document renderers and the iframe selection bridge are separable extension points.

ClickHouse query tools for DSH, targeting ClickHouse alone: seven tools that list databases, tables and columns, sample rows, search columns by name, show EXPLAIN plans, and run single read-only SQL statements behind a client-side guard that rejects writes, multi-statement SQL, cross-table queries and external table functions. Single-table by default: the query parameter is used as given, with no built-in multi-step business flow. Zero runtime dependencies; it tells the model to backtick non-ASCII aliases instead of failing with a bare syntax error on older servers.

Read-only DSH profile doctor: the seven config-tree checks (config-clobber, dead-patch, tool-collision, plugin-not-mounted, plugin-stale, entry diff, explain) plus eight ecosystem checks learned from real failures — pnpm store version conflicts that break `dsh plugin add`, patch insert names node_modules cannot resolve, broken junctions, duplicate-capability plugins, orphan backup dirs, GitHub-source deps, npm publish-scope hints, and the minimumReleaseAgeExclude gap. Four agent tools; every finding carries its fix.

Adds a "Terms" action to finished assistant answers that explains the computer-science terms it detects with Chinese definitions, occurrence counts, highlighted context snippets, and clickable nested explanations from a built-in offline dictionary, with no model calls.

Adds a Restart button to the DSH Desktop sidebar. It opens the same native confirmation dialog as the tray Exit item and, once approved, shuts the app down gracefully and relaunches it. This plugin only draws the button: it also needs the companion shell patch shipped in shell-patch/ in the same repository, which has to be applied from outside DSH while the app is closed. Installed on its own, the button stays disabled and a tooltip explains why. The companion shell patch is Windows only and rewrites the installed app.asar.

Turn English audiobooks (MP3) and documents into listening lessons: transcribe every sentence locally with the speech model DSH voice input already downloaded (about 241 MB, fetched on first use if missing; ffmpeg required), proofread and explain each sentence with your DSH model, then drill with blind listening, intensive listening and spaced repetition, with Chinese-dubbing export and offline Kokoro voices; ships a sidebar panel and four AI tools.