Plugins

Claude Code Desktop look-and-feel for the DSH Web GUI — ivory/warm-black dual canvas, clay accent, three-font typography, permission segmented control and brand switcher, via CSS overrides and client DOM overrides.

Watch a video together with a text-only agent: follow the user's real playback position, hand over one segment at a time just before it ends, and keep a single text stream of scripted lines, interjections and the user's replies.

DeepSeek Harness plugin that turns Jev judgments into three automatic actions — pruning oversized tool output to the segments relevant to the request, screening fetched pages for instructions aimed at the model, and picking which skill fits the next step — plus the jev_ask and jev_gate tools, a judgment ledger that survives restarts, and a /jev-status report. Needs a TypeSafe API key; without one it is inert and sends nothing.

A better fold bar: automatically folds tool calls and Think segments into step fold bars, and collapses each finished turn into a single turn header with live metrics (duration, TTFT, token, tok/s, cache hit) — only the final summary stays visible; customizable leading icons with animated poker cards built in (suit-cycling card animation while running, a deck when collapsed, a fan when expanded), a settings row for the official fold mode, compatible with both new and old DSH versions. Zero intrusion into DSH source.

A configurable 17-segment session status bar for the dsh composer dock with live TPS, per-model cost estimation, and a usage & cost dialog.

Session bridge for DeepSeek Harness: drive other real DSH sessions straight from your prompt — create top-level sessions in any workspace, message or steer any session, wait for replies and stream them segment-by-segment (chain-of-thought included), resume offline sessions, find sessions across workspaces, run a background watchdog that monitors and schedules a main task (nudge when stalled, correct drift, cancel when stuck), and archive sessions with one command.

Design-review gate for DeepSeek Harness, a DSH port of Google's Elephant-Goldfish Model: a context-rich Elephant session drafts the design, then fresh, zero-context, read-only Goldfish reviewers stress-test it before implementation. Registers the `egm` plugin id; install one EGM bundle per profile.

Rewrites the reasoning row: instead of the raw chain of thought it shows first-person working notes, written segment by segment while the reasoning streams in, with a toggle back to the original. Notes are stored per session so history rows keep them after a reload, the note writer runs on a configured provider or a downloadable local llama.cpp model, and the model still reads the full reasoning.

Cristiano Ronaldo desktop pet for DeepSeek Harness: a chibi Portugal number 7 mascot in a bottom-right overlay whose animation follows the agent state — dribbling while tools run, thinking during a turn, waiting at approvals, diving on errors — and jumping in a SIU celebration with a host-process sound when a turn completes; it can be dragged, looks at the cursor on hover, dives on a triple click, and a settings panel manages several pets and imports custom spritesheets. It also runs as a borderless, always-on-top native Windows window that keeps living after the browser is closed: hovering shows the current workspace and conversation title, double-clicking opens the Harness page in Edge, and dragging, mouse-wheel resizing and a right-click menu work there too, sharing position, size and behaviour with the web panel. Pet sheets may use any cell resolution and scale preserving aspect ratio (atlas.scaling: smooth | pixelated). v2.2 adds a video route — feed it a clip (green screen or ordinary footage) and its real motion becomes the pet animations, via automatic backdrop sampling, chroma keying with spill suppression, motion-based segment splitting and union-bbox alignment; already-extracted PNG frames work too, with no video decoder installed, and the clip audio can be cut into per-action sounds. Pets can also be published to the community gallery under the DPSL-1.0 sharing declaration, and installed from it in one click. v2.3 adapts it to DSH 0.2 desktop clients — the celebration sound now falls back to spawning PowerShell when the host no longer provides the shell service — and makes a single click play a short, configurable taunt animation (`interactions.clickAnim`).

Replaces the built-in DSH compaction summarizer with a five-section handoff summary and keeps every shadowed message readable in a segment directory.

Context indicator for the DeepSeek Harness composer: segmented occupancy, compression points, and the native auto-compaction line (flashes red when crossed). Supports preview-then-confirm compaction (/bc), seamless handoff (the old session becomes "History N" while the new one keeps the name; a relay bar above the composer shows the full handoff chain with two-way jumps), and message pinning with stale-pin labels. Thresholds, colors, and auto-archive after handoff are configurable in Settings.

Session usage statistics panel: token and request stats at day/hour/minute granularity, an activity heatmap, bottom-bar session info takeover with per-turn cost chips, and cost estimation under multi-condition time-segmented pricing. Re-implemented from HaoyueQin/dsh-usage-statistics-panel with extensions.

DeepSeek Harness peak/off-peak pricing gate: during peak hours (weekdays 09:00-12:00 / 14:00-18:00 Beijing time) every send asks for confirmation, with an option to mute the reminder for the current peak segment, or to queue the message for off-peak (half

Read-only session-log projector (drsc) for DSH: scans ~/.dsh/sessions/**, decodes zstd/tiled-frame logs with a vendored leaf decoder and rewrites per-session projections into its own SQLite (node:sqlite, segments / replaces + FTS5), exposed through a single fenced HTTP route — surface ledger, recall/compression pair accounting and Chinese-capable full-text search. Token counts share the exact DeepSeek-V4 tokenizer and formula as CCI verify, falling back to a labelled chars/4 basis when assets are absent. Never writes session files; all output lands in its own data directory. Serves three consumer plugins: context-compression-improved (surface marking + recall reconciliation), session-steward (search-corpus switch), prime-memory (historical anchor backfill). Hosts 0.1.0-rc.2 .. 0.2.1-rc.2 (17-tag exact engines.dsh enum). npm: dsh-reference-session-collector.

Automated daily content pipeline for Insta360 GO 3S: BLE/WiFi remote capture of aquarium footage, wireless import, ffmpeg quality evaluation with decision log, Auto editing (segment selection, TTS narration, music, subtitles), and Bilibili upload via biliup (dry-run by default).

Configurable statistics row below the composer via a ${variable} display template — which segments appear and how they are labelled is fully user-defined.

Turn a script into a narrated explainer video: text-card slides by default (fast and exact for tutorials) or AI-generated footage per segment (needs AGNES_API_KEY); 14 online neural Chinese voices plus 3 offline Windows voices, with a one-command sample pack for picking a voice by ear. Requires ffmpeg, and the bundled video-remix skill copied to <workspace>/.dsh/skills/video-remix with npm install run there for the online voices.

Self-narrative memory in five budgeted segments (800 chars, not a full context): a first-person note the model writes to itself, a profile of you aggregated from approved facts, environment facts kept separate from who you are, heat-ranked conclusions, and habits. Every injected fact is traceable to a fact id and can be retired; the profile can be edited by hand, and self-notes stay plain lines you can clear. Facts fade by use and time without ever changing their credibility. Preference-like lines you say are auto-detected as candidates (never auto-approved), with conflicts kept side by side. Recall over past conversations with citations, an incremental index that only decodes newly appended frames, a pointer-required warm layer, a doctor that says which part is broken, a heartbeat proving injection is alive, and export/import so the whole thing moves to another machine.

A per-turn token usage strip in each reply's icon row: a grey/yellow/green segmented bar plus a legend giving that turn's uncached-input, cache-read and output split and each one's share.

Three-tier deny/ask/auto gate for the computer-use (cua-driver) tool family: each tool category gets one segmented control in Settings, and an allow list or deny list overrides the tiers per tool name.

Share a selected chat segment as Markdown, HTML, TXT, or PNG; Session-header dialog with range or multi-select, redaction, tool calls, and subagent conversations, plus the /share command.

Quick-open palette for the Web GUI: Ctrl+P fuzzy-searches an in-memory index of the session workspace (about 51k entries, median query 5 ms) with per-segment path anchoring, dir: and file: prefixes, Tab directory drilling and :line jumps, opens the picked file in the native right sidebar, and drops a file reference into the conversation draft with Ctrl+Enter. Also adds in-file find (Ctrl+F) and a selection-to-reference action to the built-in file preview.

Whole-book translation production line for DeepSeek Harness: deterministic chapter detection and segmentation, per-chapter subagent translation, glossary control, full-book review, targeted revision, and auditable meta.json evidence.

Local token usage and cost dashboard for DeepSeek Harness: four-segment token breakdown (miss/cache-hit/cache-write/output), cache savings estimate against the miss/hit price gap, per-session drill-down with context-growth curves and anomaly flags, global filters with shareable URLs, monthly budget progress with month-end projection, and day/month aggregate fast-path queries (O(days)) with incremental rescan.