Plugins

Universal skill adapter that registers any GitHub repo containing a SKILL.md as a DSH skill by cloning and symlinking into the official skills root.

Generates editable PPTX decks in DSH with a bundled authoring Skill, deterministic PPTD scene checks, native PowerPoint objects, and local PPTD source-project delivery.

Structured vision evidence (OCR/layout/semantics) plus a USB camera capture tool for a "shoot-look-adjust" debug loop; backends: Ollama, DeepSeek, Xiaomi.

Local semantic code search for DeepSeek Harness: fragment-level symbol-aware indexing, offline lexical embeddings or an OpenAI-compatible endpoint, and hybrid vector + BM25 retrieval fused with RRF - three dsh tools plus a sema CLI.

Context manager for DeepSeek Harness: auto-summarizes every turn into priority-sorted records, injects them plus pinned cross-session notes and custom text into each model request, and folds any-size real conversation ranges into summaries to save tokens. Persistent and restart-safe. NOTE: manual multi-step install — copy the three package folders into profiles/node_modules and add the provided cordis.patch.yml rows, then restart DSH; not a standard one-command install.

Three-layer local memory for DeepSeek Harness: L1 snapshot memory (MEMORY.md/USER.md) read on demand through the memory_* tools + L2 searchable knowledge base (facts + SQLite FTS5, Chinese search via sliding-window tokenization) + L3 import from Hermes/Claude Code/Codex/WorkBuddy and from approved Agent Hub documents (memory/global, memory/projects, accepted decisions) with content-hash dedup. v0.2.0 removed every automatic injection: memory enters the context only when the model calls one of the 12 memory_* tools, and data stays on the local drive.

Adds a colored status line under the DSH conversation stats showing live DeepSeek API cost, usage and account balance, with on/off-peak pricing indicators.

In-browser novel reader for the dsh web GUI: online book-source search, chapter-by-chapter reading in a chat-style view, and whole-book TXT download.

Official DeepSeek platform monitoring inside the provider card: a live balance chip left of the composer model name plus an expandable account-details panel with per-model monthly usage and a daily stacked chart.

iPhone-style agent phone: dual-panel calls & SMS, RCS group chat with trust gates, cross-device agent messaging via the registry inbox bridge, L0–L4 trust badges and evidence audit. Experimental: trust summaries are not a security guarantee, and SMS/signalling is relayed through the operator's inbox (visible to them); E2E encryption is planned.

Re-sorts sidebar workspaces by last activity once per day; stable order within the day.

DIY your DSH UI fonts and colors: per-region styling, unified overrides, theme save and switch, random font and color.

Adds a Graph tab that renders one session's execution as an interactive DAG of turns, LLM steps, tools, skills, subagents, code changes and tests, with live status, retry aggregation, critical path and trajectory linkage.

Project+global long-term memory for the dsh web GUI: split POST /items endpoints, tool-call context merged into memory items as compact summaries, with deduplication and session-scoped persistence.

a demo plugin for a preset with builtin musescore wasm editor/preview engine for agent composing

基于deepseek harness的类MiniMax-Design的AI视频创作工作台

Registers a /code-review slash command with five parallel review lenses and per-finding confidence scoring, for both pull requests and local code.

ChatGPT-style question nav rail with up/down arrow buttons — per-question tick marks on the chat edge, hover-triggered drawer listing every user question with real-time search filter, one-click smooth-scroll jump, and active-question highlight synced to scroll position.

Configures provider and model reasoning-effort mappings for DeepSeek Harness, with a grouped model picker and composer slider.

A floating right-side table of contents (TOC) for the DeepSeek Harness Web UI: one entry per user question, click to scroll to that message.

Configure default model routes for DeepSeek Harness subagents, with single-model, round-robin, random, and per-route reasoning-effort options.

Explain failed DeepSeek Harness agent runs locally, then produce a redacted recovery plan. No model required.

Use AItelier as a subagent from DeepSeek Harness: generate, edit, run, export and import SkillFlow pipelines. Client only — requires a running AItelier backend (Docker; see README).

DeepSeek Harness plugin: provider sign-in, model catalog, and selection routing over a loopback-only /model-hub channel