Plugin

Plugin per DeepSeek Harness: client Nocturne Memory — memoria a lungo termine automatizzata (boot/read/search/create/update) basata sul tuo server Nocturne MCP

Approvazioni con ambito di turno "Consenti per questo task": consente automaticamente le escalation `danger-full-access` corrispondenti solo per il task corrente, poi scadono

浏览器控制插件：把 browser-use / browser-harness 的 Browser Harness 注册为 DSH 会话工具，让 agent 直接写 Python 驱动真实 Chrome（导航/点击/输入/取无障碍树/截图），支持独立专用浏览器与附着系统浏览器两种模式；配置 TypeSafe key 后条件启用 browser_autopilot（Jev 目标式自动化）。

Registers a keyless search provider for the built-in web_search tool so it works without an API key, failing over between the documented no-key tiers of Tavily and Firecrawl; a TAVILY_API_KEY or FIRECRAWL_API_KEY is picked up automatically when present. Two Bing scrape backends are included but off by default.

Windows-native computer use for DeepSeek Harness: two tools drive and read any desktop app. One batch call runs find, click, type, key, read, wait and screenshot steps in a single engine pass, so a task whose steps are known up front costs one model round trip; reading returns window text rather than an image, and input and capture prefer UI Automation patterns, Win32 messages and offscreen PrintWindow so the user's focus and pointer stay untouched.

Zero-intervention permission gate for DSH agents on macOS: auto-allows local writes made reversible by git or Time Machine, blocks network, package installs, process control and sensitive-path reads, with full audit logs.

Figma design context for the agent: reads a frame's node tree, auto-layout, paints and typography, resolves the variables it is bound to, and renders a screenshot to compare code against — plus four bundled design-to-code skills. Connect with one button against Figma's own consent page; the plugin ships its own OAuth app, refreshes tokens automatically, and never asks for or displays a token.

Model-autonomous context compaction for DeepSeek Harness: a mind_map tool surveys the agent context surface (stable seq ids, roles, token weights, clear-boundary markers, the clear-mind playbook), a clear_mind tool replaces a chosen conversation-history span with a model-written checkpoint through the native compaction transaction, call and result pairs self-collapse into one-line tombstones, and a proactive reminder nudges the model when the context grows long or a turn runs too many steps.

Model switching and reasoning-effort control for DeepSeek Harness: set_model and list_models agent tools let the agent autonomously change its provider, model or thinking depth (reasoning effort) mid-task with a mandatory reason, a provider whitelist and a context-window token-pressure guard, the active model is injected into the runtime context, and Plan Mode auto-transition switches to a configured planning model on entering plan mode and restores the previous execution model on exit.

Completes @path references in the Web composer: type @ (optionally ./src/ma) to list matching files and directories, pick one with the arrow keys, and the draft receives an @./relative/path reference (quoted when the path has spaces).

Zen Mode view tab and foreground time tracker for DeepSeek Harness: while the agent works, a calm conversation view shows running/done status, your latest user message, live activity hints and the final AI reply in markdown with one-line turn stats, plus screen-watching (focus) time tracking with daily/weekly Zen scores, a chat-hide toggle that hides tool calls and reasoning rows, auto enter/exit Zen on task start/complete, an Alt+Z shortcut and a Zen settings panel — pure client-side, stored in localStorage, no network.

AlphaRSI — three-role self-improvement loop that evolves the training recipe of alpha sequence models. Operator runs walk-forward, Evaluator grades with OOS RankIC, Refiner proposes hyperparameters via TPE Bayesian search; only strictly-better recipes are kept. Offline one-command run, data bundle shipped with sha1 reconciliation, GPU auto-detect. Ships one skill.

Auto-archives sessions idle beyond a configurable threshold, with safety guards (never touches live or running sessions), plus a full archived-session management UI: list, unarchive, safe delete and content preview.

OpenCode Go subscription models as a DeepSeek Harness provider: re-resolves the live gateway catalog every few minutes, auto-adapts models the built-in table has not seen, and covers streaming, tool calls, image input and subscription usage. A maintained fork of dsh-opencode-go: a clash with the upstream package over the llm-opencode-go settings namespace makes it withdraw quietly instead of failing the whole plugin tree, and an already-claimed opencode-go route makes it serve on opencode-go-plus.

Dynamically trusts every Host header that actually arrives and flips the default web binding to 0.0.0.0: wildcard or unenumerable entry domains work without editing the start command, the authentication layer is untouched, and hosts are evicted by LRU beyond a capacity cap.

Approval-free writes into whitelisted directories — wraps the filesystem fence for write/edit tools and auto-answers bash sandbox escalations that touch whitelisted paths, with a settings GUI.

A continuation of simon300000/dsh-auto: the Auto Approve permission preset for the DSH Web UI reviews each approval with one single-shot model call instead of a reviewer subagent, auto-approves only the actions that pass and hands the rest to human approval, and remembers confirmed decisions as project- and global-scope allow/deny lists, with an approval timeline in the right sidebar.

Version and maintenance suite for DSH itself: detects new host releases from npm dist-tags, upgrades with one click, restarts safely, and the web page auto-recovers once the host is back.

Self-diagnosing, self-repairing watchdog for DSH plugins: 15s health patrol, version-switch repair with observe window and auto rollback, unknown symptoms escalated to human.

Runs git init in each newly registered DSH workspace, with an empty initial commit by default, so git-aware plugins have a repository to attach to; directories already inside a work tree are skipped.

Automatically orchestrates complex DeepSeek Harness requests. It detects when delegation is useful, builds a dependency-aware plan, assigns bounded researcher, architect, backend, frontend, tester, and documentation workers, collects structured evidence, and sends the results to a final reviewer. The bundle atomically enables the workflow engine and model-facing subagent tools; disabling the plugin disables its complete tool group as well.

Skill routing for DeepSeek Harness: embeds skills and each user task with a local model, keeps the clearly-relevant skills with a gap-based selection rule, and auto-injects their full bodies into the prompt.

Controlled browser automation for DeepSeek Harness: the agent_browser tool and BrowserAutomationService drive a real Chromium or Chrome page (or an explicit CDP endpoint) through the agent-browser CLI, with allowedDomains containment and per-call output limits.

Computer Use for macOS desktop applications: reads any app's accessibility tree as text with element indices, then clicks, types, pastes, scrolls, drags, selects text and sets values through it, plus screenshots read back as images. Driven by a persistent JavaScript REPL — the agent gets two tools (`js`, `js_reset`) and calls an `sky` API inside them, so state survives between calls and the tool schema stays fixed as capabilities grow. Accessibility trees come back as diffs after the first read; actions address elements by index and indices from a stale read are refused rather than misapplied; typing waits for keyboard focus and reads the field back; paste restores the clipboard. Requires macOS 14.4+, Accessibility permission (Screen Recording only for screenshots) and Node 20+; ships a prebuilt native module, so nothing compiles at install time.