Plugins

Eyes for text-only models: mounts the bundled stdio MCP server as mcp__opencode_eyes__describe_image, which sends an image file to StepFun step-3.7-flash and returns a detailed description.

RSS/Atom reader with grouped subscriptions and unread/total counts, FreshRSS account sync over the Google Reader API with read/star written back, local image proxy, optional BYOK AI summary/translate/Q&A, podcast audio playback and full-text fetch.

Registers FilmLight's official FLAPI MCP assistant (flapi-dev-mcp) as an MCP server in DSH, so an agent can write and run Baselight / Daylight FLAPI scripts.

Registers the MCP server built into DaVinci Resolve 21.1+ as an MCP server in DSH, so an agent can drive Resolve through its scripting API.

Observes consecutive identical tool failures and optionally pauses before the next model step, preserving original results and successful repeats, with an in-chat report in DSH Web.

Sweeps AI byproducts (scratch files, backups, logs, caches) into a reversible trash per project, and on project close classifies deliverables, archives reference results and writes a cleanup report. Requires Python 3 on PATH (the cleanup engine is a Python script; python3 / python / py are auto-detected, and without one cleanup cannot run and says so).

Export the current session to clean Markdown from a button in the session header, through the native save dialog, with a CLI and an HTTP route over the same renderer; reads session logs directly (formats v0, v3 and v4) and declares no @deepseek-ai peer dependencies.

Notes workspace in the right sidebar: a notes tree beside a live-preview Markdown editor with tabs, split panes, outline and trash, over plain .md files and a thin per-workspace index. Agents organize it through one `knowledge` tool; `embed` fences render an interactive HTML page in a sandboxed iframe (scripts run, no network).

Read, write, convert and retime a subtitle track across SRT, WebVTT and ASS, audit it for over-long or unreadable cues, and transcribe audio through a configured speech recogniser.

Open a page, wait for it the way it actually needs, extract the readable article, and take a screenshot. Playwright is optional: when it is absent the tools fall back to a static fetch and say so in the result, because a page whose JavaScript never ran means something different from one that rendered. Content is chosen by scoring candidate subtrees on prose density rather than on tag names, so a container loses to the article inside it instead of winning by containing more of the document.

Harness-owned lifecycle for the dario proxy — starts it with your harness, readiness-gates it, and stops it when the harness stops, so subscription-backed (Claude/ChatGPT) model routes just work.

Use subscription accounts as DeepSeek Harness LLM providers — Kimi Code (OAuth device flow), Grok / X Premium (OIDC + PKCE), Google Antigravity (Google OAuth + Cloud Code Assist) and GLM / BigModel (ZCode's browser sign-in) — with per-model visibility, dr

Bundles the official Scrapling agent skill into a DeepSeek Harness profile: anti-bot bypass, stealth browsing, the spiders framework, adaptive parsing and JavaScript rendering, discovered through the host skill catalog.

Thesis and empirical-analysis workbench that drives IBM SPSS from the conversation: spss_check (environment self-check), spss_variables (list .sav variables with labels, types, measurement levels, case counts), spss_data (sample case rows to inspect missing and outlying values), spss_run / spss_run_file (execute SPSS syntax or an .sps file, relative CD and GET FILE paths auto-rebased), and spss_analyze (one-shot frequencies, descriptives, crosstabs with chi-square, t-tests, one-way ANOVA, correlation, linear regression). Results come back as structured tables extracted through OMS. SPSS 25-31 is auto-detected; the bundled MCP server is zero-dependency stdio.

Delegates self-contained coding subtasks to the local Claude Code subscription through the official Agent SDK and returns the result to the host session. Nineteen per-call parameters control model, thinking effort, permission mode, allowed tools, turn count and budget cap; background jobs return a jobId immediately and stream incremental output; the result carries a session handle that can be passed back as resume to continue the same conversation; commands expected to run past ~20 seconds go through the built-in mcp__dsh__shell channel, which streams output line by line without consuming model context; a Claude Code monitor panel in the session lists jobs, renders the structured process, shows live output blocks and cancels a run; the delegation procedure ships as a runtime-registered skill, so installing the plugin installs the skill.

Atomic OS interaction layer for DeepSeek Harness. A stable verb set replaces shell string concatenation — explicit argv, byte-exact encoding/BOM/EOL handling. Native Windows & POSIX implementations, zero runtime deps, MIT.

SillyTavern-style prompt rules for DSH: layered system-prompt anchors, constant/keyword entries, reproducible probability gates and regex rewriting.

Notes taken from DeepSeek Harness conversations: quotes whole replies or selected passages, keeps highlights rendered at their original position in the session, attaches editable Markdown notes, tags them, filters by workspace or session, and exports Markdown or a full JSON backup stored as local JSON files.

DSH host plugin: confines agent scratch scripts to one directory per working directory, and deletes them when each turn ends.

Drag folders into the DeepSeek Harness web composer instead of hitting 'only the desktop app supports folders'. Adds a host folder dialog, /folder, and drag/paste into @path mentions. Plain browser, no desktop app.

High-fidelity model calls for DeepSeek Harness: auto-adapts rejected optional parameters and keeps token usage accounting faithful

Run one DeepSeek Harness web server per project inside WSL2, managed from the Windows dsh app: each project gets its own service, port and dsh home.

Unified subscription providers and usage dashboard for DeepSeek Harness

DeepSeek Harness 插件：把工作区文件备份到 S3 兼容对象存储（RustFS / 阿里云 OSS / AWS S3）。AK/SK 只从环境变量读取，绝不落盘、绝不进日志。