Plugins

A greeting card that speaks — 156 prebuilt voice clips with a one-click mute — plus per-turn completion reports, long-run companionship notes and a takeover approval panel in the DSH conversation area.

Generate images and frontend HTML demos through a real ChatGPT Pro web session, saved locally with a design gallery panel in DeepSeek Harness.

Sync one sub2api instance's groups, keys, and models into dsh-llm-pi-ai provider routes: panel-driven login (password / OAuth), one relay key one provider.

Agent Community UI — Bot list, room list, chat panel, run status

Pixel-art Little Red Riding Hood pet for the DSH session window: transparent and always on top, it walks back and forth along the composer, blinks, looks around, turns its head toward the cursor, sleeps on double-click, and scales from 2x to 7x in a right-click panel.

Plugin advisor for DeepSeek Harness: describe what you need and it ranks the npm packages carrying the dsh-plugin keyword by denoised metrics (daily baseline, week-over-week growth, release cadence, freshness) into a first pick, alternates and plugins to avoid; ships a sidebar panel, four AI tools and one-click install.

Mobile web UI for DeepSeek Harness: a token-protected LAN server that lists all sessions, streams replies over SSE, and lets a phone continue any conversation; the desktop GUI shows a QR entry and, with dsh-whale-girl 0.3.0+, a phone held by the pet opens the same panel.

Plain-language trust dashboard for the dsh trust family: aggregates the nine channels (injection interception, write denials, egress blocks, custody-chain verification, tool-surface and prompt drift, leftover scans, forgotten compaction constraints, profile composition) into one right-sidebar panel with a single status light and event cards that translate engine jargon into sentences a non-security user can act on; the read and egress engines run from the package's own npm dependencies so those channels work even without the sibling plugins, and absent plugins simply show as not installed.

Outbound route pool for DeepSeek Harness. Ships 15 seed routes plus a 20-entry candidate pool covering 7 target kinds (GitHub raw/codeload/main, npm registry, PyPI index, HuggingFace, general). Routes are verified before use: upstream IP lists go through a TLS handshake with full certificate-chain validation (a bare TCP check can be answered locally and report dead IPs as healthy), and failures advance a cooldown ladder of 2/5/15 minutes with the fastest healthy route picked per target kind. Routes are applied by rewriting the URL with one of four rules (prefix, registry, index, host-replace), reaching git, pip, npm, pnpm, gh, curl and wget through three paths: the shell seam (download commands the model runs through the bash tool are intercepted and rewritten automatically; commands wrapped by the pwsh tool, and fetches made by the host itself or the renderer, are not covered), two registered tools the model can call directly (line_pool_status, line_pool_run), and child-process spawn. Multi-line commands keep their line breaks and only the download segment is touched. URLs carrying credentials (user:token@host) are never rewritten, so tokens are not forwarded to third-party mirrors. No global config is modified. A sidebar panel lists every route with latency, failure reason and cooldown countdown, supports per-route retest and enable/disable, and shows live TUN/proxy status from network-adapter and loopback port checks. The candidate pool is re-verified every 24 hours so newly usable routes are added and dead ones dropped. 570 tests, 87% line coverage.

Grouped run panel for DeepSeek Harness: one click starts a project's services in a real PTY, streams live colored output, and keeps every run's log on disk where the agent can read it.

Low-code project workspace for the DSH web UI. A multi-level file tree with a push-status ledger, in-panel source view and edit, pre-push static checks, and a scaffold for an empty workspace. Requires the MagicalCoder platform and a server profile (address + designer account) for push/pull.

Daily AI digest by email: fetches ten sources (OpenAI, Anthropic, Google DeepMind, Hugging Face, arXiv, Hacker News and others), clusters near-duplicate stories, scores them in code and with an LLM, then emails the top three on a daily schedule with a four-part reading (facts, why it matters, impact, open questions). Adds four conversation tools and a sidebar panel for previewing the digest, sending it now and changing the schedule.

Bidirectional GitHub repository sync for DSH: git sync with conflict rollback and pre-push checks, Actions/CI monitoring with per-step run detail, repository add/remove/rename, a web panel with local and remote file browsers, scheduled automation, and six agent tools.

Branch panel for the composer: creates rule-checked branches from production6, validates commit messages against a type(scope) convention, and commits, pushes, or merges into stage in one click.

Generic monitor plugin for DSH Desktop: an HTTP polling rule engine. Poll any endpoint on schedule (multi-step, variable extraction, JS condition expressions); when conditions hit, wake a visible agent session to act — zero model calls otherwise. Configure everything in a sidebar GUI panel: create/edit/pause/test/fire-now/run history, same UX as the built-in scheduler plugin.

Keeps a repository's task ledger as a resident prompt section with eleven native tools, plus a sidebar panel and a floating window for browsing the queue and signing off review tasks.

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.

Read-only orchd panel for the DSH right sidebar: task board, ideas board, dependency graph, review timeline and an install entry for the project of the current session.

Skill panel for the DSH Web GUI: lists every installed skill with Chinese annotations and eight category filters, runs pinyin and fuzzy search, ranks by pin and recency, and manages each skill in place (pin, disable, reveal, uninstall with undo). Ships its own maintenance skill.

Shows which skills each turn invoked and installs, updates or removes skills inside the app.

Manage a GitHub Pages blog from a DSH panel — browse the Markdown articles grouped by tag, edit them in a split editor with a front-matter form, and publish the changes as one commit over the GitHub REST API.

Meeting notes for dsh: one meeting per conversation, transcribed and speaker-separated on the machine itself, with points, assignments, handwritten notes, reviews and monthly scores in the same panel. Exports SRT/Markdown/Word and packs a meeting into a portable zip another dsh can import; confirmed assignments go to DingTalk/WeCom in one click, following your robot settings. Recognition models are swappable (a stronger local model can be imported from a file), and cloud recognition is off by default with no request made before consent. Word export needs Python and python-docx; the first run downloads a recognition model (28 or 77 MB).

Per-workspace closet for temporary scripts and their run logs, kept in a .dsh-fix directory inside each project. Registers a script with its language and purpose, scans a project for leftover scratch scripts, backups and log files, runs registered scripts with a timeout and writes each run to a timestamped log, and sweeps chosen files into a reversible trash with per-batch restore. Scanning only lists and never deletes; cleanup moves files instead of deleting them; files already tracked by git are refused unless forced. Ships 7 agent tools and a settings panel.

Author custom tools in Python from a web page, in chat, or from the dsh-go app's native panels, and register them as DSH tools without a restart; dangerous tools need built-in approval on every run, tools can be grouped into packs, and an optional unlock mode exposes them per conversation. Needs Python 3 on PATH.