Plugins

A UX enhancement pack for the DSH web chat: one plugin that collects small interface conveniences, each with its own switch under Settings → UX Plus applied immediately — chat-area font size and reading width under Settings → General → Chat area, a session-row menu that copies the session ID or inherits the conversation into a new session on a chosen model, workspace and session rows ordered by recent activity with 24-hour idle auto-collapse and age labels, and settled ask_user_question cards left expanded. The switch list is generated from its own feature registry, so the pack grows as conveniences are added instead of being fixed at a count.

Native-style notification sounds for DeepSeek Harness: a chime when the agent needs your decision or finishes a task, clickable system notifications that jump back to the window, repeat reminders, quiet hours, and goal-mode alerts that wait for the final round.

Second model passively reviews each turn and injects notes.

Full-duplex voice mode for the DeepSeek Harness Web UI: toggle (2s-pause auto-send) or hold-to-talk dictation into an editable draft with zipformer2 streaming ASR, optional wake word; sentence-by-sentence Edge TTS read-aloud with live captions, and speaking interrupts playback and the running turn (true barge-in). On-device ASR, no API key.

MCP server manager for DeepSeek Harness: add, edit, enable/disable, restart and delete MCP servers from Settings → MCP 管理, with JSON export/import, four mcp_manager_* model tools and an HTTP API; install via npx, npm or cross-platform scripts.

Detects prompt-injection, jailbreak, and secret-leak patterns on the agent/pre-step, tools/pre-execute, and tools/post-execute seams with allow/ask/block tiers, sanitized defend/detection audit events, a defend_report tool, and a destructive-delete command guard.

A study tab with course-map, tutor and blackboard columns that turns markdown files, local folders or GitHub repos into guided courses, with lesson unlocking, mastery tracking, spaced repetition and a tutor-designed course import.

MCP bridge that lets ChatGPT Web create, view, continue, and supervise DeepSeek Harness agent sessions and goals while preserving DSH's native approval, sandbox, and workspace security model.

Free vision bridge and image generation for text-only models: paste-image reading, GLM-4V-Flash and Gemini engine failover, ModLens-style structured evidence, and a seeded free vision model route.

Read any page as clean main content: charset auto-detect (GBK/GB2312/UTF-8/Big5), noise stripping, compact text/Markdown, offset continuation, optional SPA rendering, batch reads and site crawling.

Security-audit methodology skill pack plus the plugin_vet supply-chain gate: eight agent skills (secret scan, dependency audit, supply-chain review, prompt-injection review, audit orchestration, threat modeling, vuln intel, incident response) in Chinese and English editions, with an npm provider bundle that mounts the skills and registers the automated plugin_vet pre-install scanner.

Manage MCP servers (stdio / streamable-http) for dsh web; tools are reached only through four middleware tools. DSH MCP 管理器：Web 侧边栏「MCP」入口，面板按状态分级展示 MCP 服务器（运行中/连接中/已配置/失败），支持快速接入（stdio / streamable-http 表单）与粘贴 mcpServers JSON 导入。已连接服务器的工具一律经中间层工具（ws_mcp_

Adds an Execution graph conversation-view tab that renders each turn's prompts, replies, and tool calls/results as a foldable timeline with a detail panel and PNG export.

Connect ChatGPT Codex, xAI Grok, Zhipu GLM, AWS Kiro, Google Antigravity, and Cursor subscriptions to DeepSeek Harness through OAuth and a local proxy.

Role-play conversations with character cards, in-chat character-card authoring and editing, and image generation through configurable backends.

DeepSeek Harness bundle registering one skill that turns long-form production (academic papers, industry analysis, business commentary) into a 9-role pipeline: T1 literature / T2 data / T3 case scouts running in parallel, T4 analyst, T5 writer, T6 critical companion, T7 auditor, T8 finalizer run by the coordinator, T9 peer reviewer — across 6 phases with triangular evidence verification, a 26-check M-gate (25 scripted checks plus one human checkpoint), a G0-G16 audit including a Chinese AI-trace gate, peer-review scoring with journal matching, and 4 human checkpoints. Installs with `dsh plugin add lunheng-article-pipeline` (package.json#dsh.bundle.patch plus a lib/index.js entry that registers the skill); ships role cards for T1-T9, templates and 36 zero-dependency verification scripts, with five-language READMEs.

China A-share financial data MCP server for the harness: 11 fin_data__* tools (quotes/K-lines/financials/calendar/special-data/announcements/EDB/reconcile/funds/indices) over THS free official REST (primary) + AKShare (fallback) + Wind (exclusive domains), with observable degradation, context-budget compression (result-side -72.2% measured), and an offline 10-year market-data lake; BYOK.

Turns local markdown and text documents into a queryable knowledge base with hybrid semantic and keyword search, citation verification, and source injection.

Finds potential UX issues in your project: automatically reviews React/TypeScript code, pinpoints each problem, and gives concrete suggestions.

Pair a second model that passively reviews each turn and injects notes.

Reference logged-in Chrome/Edge tabs and authorized local HTML with @ for reading, batched actions, screenshots and WebMCP; collect annotations in chat drafts with a draggable toolbar. Select running Windows apps with icons, prefer a matching installed MCP or approve installation, then fall back to Cua Driver. Supports text and key chords, paged control handles, minimized-window checks and optional action readback. Includes guided browser pairing and refreshed annotation controls; background input depends on the app.

Token-cost pipeline for DeepSeek Harness: pressure-aware layered compaction (lossless projection below 40% context pressure, LLM summarization above), per-agent tool allowlisting, long-text-to-image with vision summarization, and a /token-status command tracking pressure, tiers, and saved tokens.

Smart Charts skill: turns CSV/TSV/TXT/XLSX/XLS/JSON data files into standalone interactive ECharts HTML - 32 chart types including offline maps, 3 themes, no CDN. A --profile data profile (per-column dtype, cardinality, missingness, samples, statistics, entity grain, insight signals) lets the agent read the data and pick the chart itself; each chart embeds a fact sheet (plot_stats + data_preview) whose numbers are the only quotable values. LLM transform code runs in a restricted sandbox (blacklist + AST whitelist + safe builtins); --doctor self-checks the Python environment. Fully offline, ECharts bundled.