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客制化DSH（Custom DSH）: web-surface theming (wallpaper, frosted glass, accent, translucent surfaces), configurable keyboard shortcuts (new conversation / model / thinking effort / composer gestures / usage panel), an app-usage panel, and entrance motion for conversations, the sidebar, and new conversations. Zero shell edits.
Always-on dependency and compatibility monitoring for DeepSeek Harness plugins, including exact paths, upstream changes, and isolated install/load evidence.
DSH Web GUI skill picker: a button beside the composer opens a searchable list of installed skills; picking one inserts the official `/skill-name` gesture into the input box, so the skill loads with your message (WorkBuddy-style skill invocation for DeepSeek Harness).
为 DSH 的 pi-ai 第三方模型补充可配置的思考强度档位，并设置子 agent 默认思考强度。
A multi-character Galgame interface and optional desktop companion for DeepSeek Harness Web.
Multi-Core Collaborative Novel Writing — a DeepSeek Harness (DSH) preset plugin that installs a multi-agent novel-writing mode: one conductor plus five specialized subagents (多核协同写作模式).
A pixel-art whale desktop companion for DeepSeek Harness — it swims while your agents work and taps the glass when an approval is waiting.
Gomoku (five-in-a-row) for the dsh web GUI: AI move routes, model catalog, and default prompt (node half) plus the conversation-view tab with the board (browser half)
AI-native Kanban companion for DeepSeek Harness
Session-state notification plugin for the dsh web GUI: session completed/failed, question-asked, and permission-requested alerts with configurable built-in or custom sounds and browser notifications, plus a Notifications settings section
Live2D pet plugin for DeepSeek Harness: a characterful agent companion — follows session state, switchable personas, bring-your-own models
OMK — Observe. Measure. Know. Evidence-backed knowledge changes for AI applications.
Model-driven context-window rollover bundle for the DeepSeek Harness: fresh working context, durable model-managed notes, a small verbatim recent tail, and targeted history recovery — no summarization.
Hot-pluggable Hakurei Shrine (Touhou Project) skin for the dsh web GUI: shrine day/night backdrops, Reimu figures, framed sidebar & composer, transparent paper UI
DSH (DeepSeek Harness) plugin packaging of the Project Blueprint skill — one-command AI coding conventions (AGENTS.md, docs skeleton, CI/CD, git rules, testing policy) with an autonomous discovery engine (7 languages, 15 frameworks, 70+ components, web fallback).
LSP action surface for DeepSeek Harness: diagnostics, formatting, completion, code actions, symbols, signature help, inlay hints, and rename tools over language servers, plus the editor action protocol (lsp.actions.*) that makes the plugin the IDE integration backend
Continual self-evolution plugin for DeepSeek Harness: versioned, auditable, rollback-safe harness state (prompt notes, memories, skills, subagent specs) refined from session trajectories.
Quantum Algorithms Best Practices tool bundle for DeepSeek Harness
Official, proxy-compatible, or locally accounted balance and session-cost readout for the DSH web GUI.
Bottom-right reminder cards for the DeepSeek Harness web GUI: an amber persistent card when an approval waits for you, a green self-dismissing card when a task completes
Import pi / opencode sessions, chat history, and agents into DeepSeek Harness (dsh): slash commands, session-start migration prompt, and a one-click Sync button in the composer.
Desktop notifications for DeepSeek Harness approvals, questions, and turn completion — so neither DSH nor you end up waiting while you browse another tab.
DeepSeek Harness URL reader: fetch any webpage (HTML/JSON/RSS/Atom), auto-detect encoding (UTF-16 BOM/GBK/Big5/Shift-JIS), extract clean main content with auto-pagination, output compact text/Markdown to save tokens. Zero runtime dependencies, no API key, drop-in. Follows meta-refresh shells, reads JSON-LD metadata, honors base href.
DeepSeek Harness plugin bundle: optimize raw instructions into professional Role / Task / Context / Format prompts through the harness llm service