Plugins

Bridges a OneBot QQ bot into DSH: the owner's direct messages open a session on the same home, answers go back to QQ, and files named with \[SEND_FILE: path] are delivered. Needs a OneBot v11 implementation with a forward WebSocket (such as NapCat) and ownerId set in the config, otherwise every message is ignored. The home it shares with the main session is provided by the separately installed dsh-wakeup plugin. It also runs an unauthenticated local status endpoint on 127.0.0.1:3002 with open CORS that returns the owner QQ number, the login QR code and recent log lines (including the first 60 characters of incoming messages).

Token-efficient web reading for DeepSeek Harness: one call fetches several pages through a real Chrome/Edge over CDP, gates them by relevance and returns a single digest, cutting context tokens by 80-98%. Real search URLs, login flow, screenshots, three proxy modes.

Cross-session memory for DeepSeek Harness: a three-tier store (behavior notes, deep details, session archive) plus a 600-character core card injected every step, work/companion/learning state lines, multi-person and multi-group records with visibility partitions, session-scoped suppression or deletion of memory fragments, summaries and fact candidates that can route to a separate model, and backup plus self-check tools. Data is plain text under the home directory, and entries can carry images and audio stored by content hash.

Durable cross-session memory plus a fetch ladder that survives hostname-keyed blocking. Four tools: memory_recall, memory_save and memory_stats over a plain-JSON fact store at $DSH_HOME/memory/facts.json, plus resilient_fetch which tries plain fetch, then a same-service alias host (Wikipedia only for now), then curl over IPv6 and IPv4 (needs curl on PATH). No daemon, no npm dependency, no network at import time. (1.3.0 shipped a fifth tool, memory_prune; it was withdrawn in 1.4.0 because adding a tool to a running plugin breaks sessions that were opened before it.)

Mounts a per-channel speaking-rules file into the QQ preset's system prompt only, so that channel answers in one or two lines while every other channel stays untouched. Does nothing until home points at a folder with the rules file (default QQ线口径.md); meant for the QQ preset, not the global plugin list.

Watches download commands (git clone, package-manager installs, curl) and, when one overruns its budget, aborts it and writes a switch-source advisory into the tool result, so the agent retries from another mirror instead of waiting on a dead one. Timeouts are set per kind of work, and acting versus only reporting is switched per scene. A supervisor indicator reacts while something is stalled.

A dsh plugin: after a timeout, the time distribution from the previous iteration is fed to the model, enabling the model to autonomously identify and adjust its behavior; if the introspection cost becomes too high, the plugin enters a dormant state, allowing the model to be restarted at any time.

Adds a draggable lucky-block button to the DeepSeek Harness web UI. Single-click plays zero-cost little performances (popups, a fake blue screen, daily fortune, trivia, cold jokes, music, and a set of visual stunts); a 1.4-second long-press mines the block open and starts a new session to write a random paper, read the news, invent something, or spin a short story. It also appends a "lucky block" choice to the model's multiple-choice questions and rolls a random pick, reversible by saying "rollback". Block appearance and event weights are adjustable in settings.

iOS home-screen fix and always-on kit for DeepSeek Harness remote access: overrides the PWA manifest start_url to /pair-app so the phone icon stops hitting the harness 401, and ships a hidden watchdog that keeps the desktop host and its tunnel alive while the PC is on. Requires @linxin666/dsh-remote-web-ui (it serves /pair-app); the watchdog scripts are Windows-only.

Speaks a cue for DeepSeek Harness on Windows: a configurable phrase when an agent turn completes normally, a second phrase when the agent needs you to choose — a question, a plan approval, or a permission request — and a time-of-day greeting when a new conversation starts. A small bubble in the lower-left corner mutes and unmutes every cue with one click, with its own toggle chime. Phrases are synthesized with a Microsoft Edge neural voice (skipping aborted and errored turns, subagent turns, and rounds that a goal is still driving), cached under the DSH home directory and replayed locally, with the desktop SAPI voice as the offline fallback.

A machine-checked reasoning ledger: every fact must resolve to a real file:line and be quoted verbatim from it, every assumption must state what would falsify it, and a conclusion may not rest on an assumption that never comes back for review. The ledger can carry a review date, a confidence and a kill condition. Ships the checker tool, an /fp command family, an optional gate that asks before irreversible shell commands, and a web panel listing the error codes each round fixed.

Publish size check skill: verifies a deliverable's geometric specs against a target platform before publishing - pixel dimensions, aspect ratio, dpi, file size, format, physical print width and colour mode. Geometry only: it does not review content compliance (QR codes, text-to-image ratio, copyright and prohibited content are out of scope). Pure Python standard library, no third-party packages, and inputs are never modified. Python 3.8+. Covers 10 platforms and 20 slots with per-platform confidence labels - WeChat MP, Xiaohongshu, Bilibili, Zhihu, Weibo, Douyin, WeChat Channels, journal submission, print and client delivery - and resolves a platform by id, Chinese name or alias with fuzzy matching. Two trigger modes: asked directly, or as a parasitic self-check that runs by itself once an image, poster, chart or export workflow has written a file and the user mentioned a publishing target, reporting in one line when everything passes and only expanding when something is wrong. For journal submission and print it judges by physical width (pixels / dpi), which catches files whose dpi metadata passes but whose actual printed size is too small; for multi-image posts it checks whether the whole set is consistent and names the odd one out rather than listing every file.

Local offline prosody analysis for DeepSeek Harness: reports how something was said — speed, pitch, pauses, energy — alongside the transcript.

Windows x64 only, 0.5.4 preview: two scoped tools (dragon_browser and dragon_desktop) that drive a visible browser through the DOM or CDP and Windows apps through UI Automation, with per-origin and per-executable read/control scopes, batch steps, a physical-Esc emergency stop and a redacted action log. 0.5.4 only widens the DSH compatibility range to 0.2.0-rc.2 through 0.2.1.x, because 0.5.3 pinned it to an exact DSH version and was silently skipped on DSH Desktop 0.2.1. Two long-lived native processes remove the per-action process spawn, so a single key step takes about 0.7 s on the same machine; when another window steals the foreground the step is aborted instead of typing into the wrong place. The browser side ships its own Edge/Chrome launcher and CDP client, so it no longer needs another browser plugin or the Electron runtime. It is not an OS sandbox; logins, admin windows and secure desktops stay with the user.

Installs the codex-cua skill so DeepSeek Harness can use Codex computer use: drives Chrome and native macOS apps through the runtime bundled with the ChatGPT/Codex desktop app, ships a persistent session client and a doctor self-check. Requires the ChatGPT/Codex desktop app with its Chrome extension, Python 3.9+, and macOS.

Registers one `workpaper_gate` tool for DeepSeek Harness: it audits a workpaper set for completeness, covering both the target design or template itself and the instance-versus-template structure, with the rule list, template list and core-table list all configurable in one spec file. Findings come back as blocker, warning and info, and the workpapers are only read, never modified. Requires Python with openpyxl.

Deliverables registry for DeepSeek Harness: agents register the final artifacts of a task (reports, pages, documents, sheets, images, datasets) into one settings section and manager page that store paths only, never copies, and remove recoverably; a standalone CLI (add, list, stats, check, remove, restore) reads and audits the same registry outside the app.

Exposes a stdio MCP server as native DeepSeek Harness tools. Ships with the official Microsoft Playwright MCP preset, so the agent browses through the Edge or Chrome you already have open, with your logins intact; any other stdio MCP command can be configured instead. Host-only, no client bundle, no npm dependencies. To drive your own browser, start Edge/Chrome with remote debugging and allow npx to fetch @playwright/mcp.

Release gate for AI answer quality. Two channels: replay an existing VeriScope archive through the original Python quality gate, or run a threshold gate over a Ragas per-row export with Node only — no VeriScope, Python or pandas. Returns PASS, FAIL or REVIEW with source evidence and a re-checkable receipt; supports per-row thresholds and exact decimal comparison. It never re-evaluates and never calls a model, and REVIEW never becomes PASS.

Automatic, versioned backup of your DeepSeek Harness home — sessions, memories, settings and the profile plugin tree — to a private git remote you own, with commits and pushes on a schedule and every failure surfaced in the DSH log.

Describe the persona you want and the agent writes it: nickname, bio, taglines and links come from the host model, the avatar comes from your local asset library (or a path you give), then it fills your profile page and hands the picture to the site's own uploader. Dry-run by default - it only touches profile fields, never passwords or security settings.

Bridges the third-party providers saved in a local cc-switch app into DeepSeek Harness: Anthropic-format tool groups become adapter routes, Codex groups are handed to the built-in pi-ai adapter, and a settings page picks which groups to import and in which order.

Exposes the accounts in a local CC Switch database to DeepSeek Harness: every account (Claude Code, Codex, OpenCode, Grok Build) becomes a model category in the picker, and the SQLite database is re-read on every model listing and request, so switching accounts in CC Switch needs no DSH restart. Requires CC Switch and the DSH desktop app.