Plugin

Control, organize, diagnose, design, personalize, and answer product knowledge questions for a Yeelight smart home, powered by the local yeelight-home runtime.

Folds the tool-definition prompt surface when many MCP servers are installed: a static KV-cache-stable catalog plus BM25/bge-m3 hybrid tools_search and batch tools_schema expansion, so hundreds of tools stay discoverable without spending their full schemas every turn.

Deterministic Reasoning Engine (DRE) for dsh: dre__* tools for knowledge verification (three-stage discrimination), deterministic cognition loops, constraint solving, mental models and synapse memory - strengthens information certainty.

Scan installed Windows apps and launch them from a sidebar launcher above the settings icon.

This plugin locates the root cause of a failed DeepSeek Harness agent session and produces a shareable diagnostic report.

Adds a structured TextIn xParse tool and document parsing skill to DeepSeek Harness, supporting document parsing, cached-content navigation and durable multi-document tasks, with AppKey or Device OAuth authentication, paid-operation approval and bundled cross-platform CLI binaries.

Bridge local projects into Obsidian: bounded manifest scanning, deterministic dependency/tech/topic edges, and wiki-linked notes written into a managed graph/ vault namespace via the Local REST API or the vault filesystem.

A Codex-style right side panel for the DSH Web UI — session artifacts browser (live file tree, scan include, preview, reveal) plus a side chat that forks the current session with a model picker, human-pacing scheduled runs and smart send-to-bottom scrolling.

Composer button that opens a panel listing every skill available to the current session with Chinese titles, purposes and usage examples, and lets you catalogue newly installed skills in one click (saved locally).

Knowledge-base browser panel: tree browsing plus drag-to-cite (path-only or full content) into the composer.

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

Browse the DSH skill library from a floating-ball panel: categories, Chinese descriptions, instant search, full SKILL.md viewer, and an automatic skill-failure ledger driven by tools/result events.

DeepSeek Harness (DSH) bundle: wires Kimi Computer Use's stdio MCP server through the generic dsh-mcp-client bridge, plus a bundled skill for driving it.

AI-generated curiosity & trivia plugin for the dsh web GUI (Curio in the English UI): 「开始探奇」 generates a fresh batch of unexpected knowledge (excluding everything already seen), each item unfolds into two deeper layers plus similar knowledge points, and 「探奇清单」 keeps the full history (batch, items, layers, similar points) in browser storage. Reuses the host LLM channel with zero config; when no model is available, a DeepSeek API key can be pasted into the panel. Output language follows the DSH UI language (zh/en).

Manage installed DeepSeek Harness skills from settings: list, search, view rendered docs, copy content, open the folder, soft-delete to a recoverable trash, and try a skill out.

A full-screen, Matrix-styled TUI frontend for DeepSeek Harness — built with React + Ink as a Cordis bundle plugin

Workspace-isolated durable memory for DSH, with searchable, auditable, correctable, and removable workspace memories plus controlled global memory.

dsh plugin: token-efficient prompt-side shim for the official MCP client — folds mcp__* tool schemas out of every assembled prompt and exposes two constant meta-tools (mcp_list / mcp_call) instead

Knowledge base (Vault memory + knowledge graph) for dsh: kb__* tools for deterministic memory search/write, knowledge-graph nodes/edges/subgraph/traversal, document-to-graph ingestion and unified cross-store query (KAL) - no web-search tools.

Permanent memory plugin for DSH with vector search, LLM reflection, and knowledge pages.

DeepSeek balance and per-session cost in the DSH web composer dock, with official peak/off-peak pricing (peak hours Mon-Fri BJT 9-12 / 14-18, weekends off-peak) and built-in deepseek-v4-flash-vision-exp vision model rates billed at flash price (images billed as tokens, max 384 tokens each).

Collapses each settled turn's process rows into one expandable disclosure in the DeepSeek Harness Web conversation while keeping the final answer visible.

Turns the dsh web UI into a native Windows desktop window, with a system tray, autostart option and a protocol file that the bundled client reads.

Matches prompts to installed skills for automatic activation, applies skill-declared lifecycle hooks and tool policies, and manages GitHub-hosted skills from Settings or the skill_manager tool.