Plugins

Runs PowerShell scripts through base64 encoding, so quotes, $, backslashes and CJK survive as written. Same sandbox channel as the built-in pwsh tool.

Financial quantitative workbench and stock ticker: floating ball and drawer panel, real-time A/HK/US/global market quotes, multi-period K-lines and 5-day intraday charts, depth order book, capital flow, sector heat map, and AI investment research.

Turns stock names and codes in DSH output text into clickable buttons for quotes and company news.

Resolves a company name or ticker to a verified stock symbol via SEC EDGAR, then fetches a live quote with price, P/E, EPS, market cap, 52-week range, and dividend yield from yahoo-finance2.

Multi-tab side chat for DeepSeek Harness. Quote a whole message or text selected from a still-streaming reply into a side chat without waiting for the reply to finish, and dock the panel over the better-sidebar workbench or yield to the conversation depending on the sidebar state.

A-share and US stock trading toolkit for DSH agents: realtime quotes, OHLCV klines, ADX three-state regime signals and simple backtest previews via EastMoney. Read-only, never places orders.

DeepSeek Harness plugin that fixes RTL/LTR bidi rendering in chat: per-block direction for Persian and Arabic messages with embedded English, plus list markers and quote bars that follow their text

Same-origin in mechanism with the two loudest lines in context compression. The code-skeleton gate follows the skeletonization approach of Headroom (Apache-2.0), whose published headline is 20% fewer tokens for coding agents and 60–95% fewer tokens for JSON, same answers. The estimator channel follows TokenPilot (arXiv:2606.17016), which reports up to 60% lower cost for long-session agents. Both figures are theirs, quoted as-is; this plugin ships no benchmark of its own and claims no reduction of its own. What it adds for DeepSeek Harness: choose a compression profile, set the Auto Compact trigger level and toggle code-skeleton compression from one settings section, with exact DeepSeek V4 tokenizer measurement, same-revision count verification, and fail-open behaviour that keeps the original tool results on unsupported models.

Select text in the dsh web conversation to attach it as an annotation to your next message. The source text keeps a dashed highlight with an ordinal badge in place, and the composer summary lists, edits and jumps back to each annotation.

Combines historical supplier quotes and service rates into onsite-repair, factory-overhaul, green-remanufacture and replacement options for a motor, then recommends one by total cost of ownership.

A floating stock ticker for DeepSeek Harness: real-time quotes for Nikkei 225 and TOPIX ETF out of the box, plus worldwide markets via Yahoo Finance — Japan (.T), US, Hong Kong (.HK), China (.SS/.SZ) and any other symbol — with a customizable watchlist, display aliases and 16 UI languages.

Composer code-quote collapse for the DSH Web UI: pasting a `path:line` header followed by code folds the input into one compact inline quote token (Ctrl+Z reverses it), and at send time the `agent/pre-step` hook injects the full pasted snapshot to the model as a separate context message.

Unified quoting for DeepSeek Harness Web: select file-editor text or chat messages → annotate → 「引用#N」chip → the AI receives a formatted quote block with file path and exact line range (source line hidden on the user side); sent quotes collapse into a hov

Quote earlier content of the current session into the composer: select text in any message for a Quote pill, or type @ to pick a whole message; the quote travels as a native reference chip and is serialized into the prompt as a blockquote. Client-only, no host routes, no custom session events.

Financial market monitor bundle for dsh: real-time quotes, a local watchlist, threshold alerts with cooldowns, periodic polling, and in-chat ASCII/mermaid charts for A-share stocks/indices and crypto (Tencent + CoinGecko).

Lets users quote selected conversation text with optional notes, then attaches the references to their next message.

Select text in a finished assistant reply to add numbered comments beside the quote; collect drafts and submit the batch through the official composer as one user message.

Message review and quote chips for conversations: multi-model cross review (code/reply) with severity grading and summaries, review history, and host-persisted preferences.

Adds a removable quote banner above the web chat composer for text selected from an AI reply, included in the next message.

Read-only side branch in the right sidebar: quote text to ask follow-ups without polluting the model context of the main session; every follow-up rebuilds the branch from the latest settled turns of the main session, and writes are refused at the tool-execution layer so the prompt prefix stays cacheable.

A newspaper-style front page for a session you left running, as a Conversation View tab beside Chat and Trajectory: a per-turn timeline (duration, steps, tools, tokens, outcome), file churn counted per file, where the wall clock went and how much of it was the model rather than tools, which single turn ate the spend, failures nobody retried quoted with their failing command, and a context-pressure gauge measured against the routed model's own declared capacity. The briefing is folded from the durable session log and never generated by a model, so it costs no tokens, cannot hallucinate, and is byte-identical for the same log and clock; it appends nothing to the session and reaches no model, and it reports a pending approval without ever answering it. Pages are offered only when they have content, and the tab refreshes itself on turn settle and on a two-speed poll backed by a metadata-only tail probe.

Structured git tools for DeepSeek Harness agents: status, diff, log, branch, commit and stash. Output is pinned with ten `git -c` overrides so a user pager, colour or quotepath setting cannot reshape what the agent reads; every invocation is an argv array, so no shell ever parses an argument; and the mutating actions go through the harness approval service, refusing rather than proceeding when no approval service is mounted.

Humanized fork of @xmanrui/dsh-im (base 4.21.2): humanized message delivery with send-delay and typing two-phase, message_break + streaming coexistence, status reactions, reply quotes, per-bot humanize overrides, and a no_reply reclaim tool — across WeChat, Feishu, DingTalk, WeCom, QQ, Telegram, Slack and WhatsApp channels.

Local relationship-memory workbench with a confirmation gate: every AI write — extracted memories and newly created contacts alike — lands in a pending queue until the user confirms it in the GUI; materials are archived verbatim with quote-level provenance checks on AI extraction, and confirmed memories aggregate into per-contact timelines, gift occasions and reciprocity views. Ships a native relationship agent preset for conversation capture; JSON storage by default with an optional SQLite backend, zero production dependencies.