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GitLab panel in the DSH right sidebar: commit graph, branches, changes, merge requests (inline diffs, review submission, pipelines), issues, and agent tools with an approval queue for triage and batch actions. GitLab data needs a personal access token or a logged-in `glab`; local git data works without either.

Config-driven lifecycle hooks for DSH: block or observe tool calls, and react to completed turns, messages, and title changes with shell commands.

Registers one tool, report_health, that answers whether a scheduled report job actually ran. It judges by side effects rather than exit codes: how old the newest report folder is, how many documents it holds, whether more than one report category is present, whether the audit ledger was synced recently, and how long ago the last log was written. Exits nothing, calls no model, and reads only local paths you can override by config or environment variable.

DeepSeek Harness용 지속 메모리를 갖춘 개인 에이전트, 다중 Bot 그룹 협업, 네이티브 백그라운드 작업입니다.

Defines multi-agent team rosters as YAML or JSON files, validates them, bridges each member into dsh-agent-teams member arguments, and verifies the result against the running team.

Plot decision gate for novel writing: seven beat_* tools register each node that changes the story into a decision point with 2-4 structured options; author picks are written to a book-level ledger (canon + obligations) that later chapters inherit, beat_gate returns pass:false until every decision is made, beat_compile turns the picks into a chapter contract, and beat_verify checks the prose for missing changes, forbidden states and overdue obligations. Off by default; /beat on or the composer button enables it.

HarmonyOS delivery orchestration for DSH: freezes a four-dimension acceptance pack whose measurable criteria carry machine-checkable assertions, runs an adversarial pre-review before dispatch, hands the work to DevEco Code in Goal mode, then audits the delivery with independently gathered evidence (screenshots, UI tree, logs, hashed evidence bundle), recomputing assertion verdicts against measured values and filing rework orders; includes a cited rule catalog, a user-confirmation state and a gate calibration ledger.

DSH bundle of the 27 promoted skills from mattpocock/skills v1.3.2 (TDD, code review, grilling, spec and ticket flows, domain modelling), bodies byte-identical to upstream and upstream invocation policies preserved; ships a sync script and an offline contract check.

Group skills into named sets, toggle any combination, drag to reorder, and preview each group catalog token cost.

Diagrams a reader understands on first look: nine types from one JSON spec, with a checked title, reading path, legend, contrast and connectors. Requires Python 3.9+ for the render and check scripts.

Renders Excalidraw architecture scenes inside DSH — import a local .excalidraw/.json file or an inline document with no account, or refresh from Excalidraw+ over MCP (refresh needs an Excalidraw+ MCP bearer token in mcpToken or EXCALIDRAW_MCP_TOKEN); pan, zoom, select and export SVG/PNG.

Whole-PDF paper translation for DSH on top of a BabelDOC installation you provide (Python CLI, with an OpenAI-compatible API key in its config.toml): bilingual dual-page output, a token cost estimate before running, a per-domain glossary reused across papers, and the server-side thinking overhead disabled for translation.

An AI reading buddy: it sits next to you while you read, and only knows the pages you have already reached — so it cannot spoil the rest, and it never summarizes the whole book for you. Highlight a sentence and ask about it, or just ask about what you finished; it usually restates what you seem to mean and asks one concrete question back. What you work out can be saved as a takeaway and later becomes a review card that jumps back to the sentence. EPUB, MOBI, FB2, TXT, Markdown, HTML, CBZ.

Turns a repository and a running system into acceptance material - database design, design specs, a user manual with screenshots, and test / go-live / acceptance reports. Sections follow GB/T 8567-88; anything it cannot verify is left blank instead of invented. Requires Python 3 with python-docx for .docx output, and Google Chrome for automatic screenshots.

AI-native text editor for DeepSeek Harness: tabs, encoding-safe saves, selection/document AI with diff review, Markdown preview, and Windows file associations.

Renders a conversation's context as a layered architecture map of goals, decisions, actions, artifacts, risks and open questions, exported as SVG, interactive HTML and Mermaid Markdown.

Compiles a repository into a source-grounded code map: structured pages where every claim carries a verifiable path:line citation, an interactive dependency graph, knowledge cards, four model tools and the /codemap command. Deterministic, no model calls, zero dependencies.

Start a local mihomo proxy core on demand and shut it down when idle — no always-on port, no leftover process, no change to the Windows system proxy. Routes through an existing proxy when one is already running. Needs a Clash/mihomo config (subscription, imported FlClash config, or pasted in); the first run downloads the ~61 MB mihomo core into the plugin folder.

Resolve a shared URL into title, author, body text, cover and direct video links: Bilibili, Douyin, Xiaoheihe and GitHub are parsed structurally, while WeChat, Zhihu and other pages fall back to an OpenGraph summary (title, description, cover). Includes an optional download step for sending the media back through chat.

Undermind literature search inside DeepSeek Harness. The plugin owns the OAuth authorization-code + PKCE login the remote MCP server requires, refreshes the rotating refresh token before expiry, re-initializes the MCP session when the server drops it, and registers every tool Undermind tools/list returns as a mcp__undermind__* tool, alongside a permanent undermind_auth tool for status, login, logout and retry. Needs an Undermind account and a client id - Undermind accepts a Client ID Metadata Document URL (CIMD) or a pre-registered client id, and does not support dynamic client registration.

Read PLC projects inside DSH — decode CoDeSys .project and Delta .dvp (both need Python 3.9+ on PATH) and Siemens S7-200 SMART .smart/.smartlib into readable reports and structured data, plus project diff, address audits, element-level read/write analysis and ladder-logic reconstruction.

GitHub Trending radar inside the Harness Web UI: fetches the daily, weekly or monthly board (optionally filtered by a language), analyzes each repository into description, star gain, tech stack, highlights and risks, renders the result as a filterable card panel with paging, and registers the github_trending tool plus the /github-trending command.

Answers Dark Souls III questions from your own Windows PC save (default `%APPDATA%\DarkSoulsIII\*\DS30000.sl2`): level and stats, current area, bonfires/rings/spells/covenants counted by family, kill state for the 24 bosses, and Steam achievements when Steam is installed - exposed as model tools plus a progress pill beside the composer and a 19-area sidebar page with next-step suggestions. The save stays read-only and is parsed locally by a bundled Python 3 script; Python 3 and the `cryptography` package must be installed, and the game data ships with the plugin.

Connects the Google Stitch MCP endpoint as 16 native `mcp__stitch__*` tools for projects, screens and design systems, plus an in-panel card for an API key or OAuth access token.