Plugins

DeepSeek Harness sidebar panel for TeamAI skills, MCP, and prompts.

Skill bundle that installs the codex-collab skill for driving the local OpenAI Codex CLI as a vendor instead of a consultant: every delegation carries acceptance criteria and a self-test script, the result is verified by running those tests locally, and a failure is handed back with its original error output; batch delegation runs sequentially (parallel subprocesses are not usable locally) and multi-turn continuation stays inside one session. Requires the local Codex CLI and PowerShell 7+; the helper scripts are Windows-native and only partially work on macOS/Linux.

DeepSeek Harness tools and a Skill for md-report/1: validate and render Markdown plus declared SQLite/CSV datasets into one offline interactive HTML report or dashboard, with AntV G2 charts (ECharts fallback) and chart/table data and source-SQL views.

Computer Use for every DSH session: screen capture, mouse and keyboard, app launch, plan and skill replay, an audit log, guards for dangerous actions, a background code agent, and an OCR workflow (text and coordinates) for apps whose accessibility tree is empty. Verified on macOS only: Windows has a basic GUI backend that is unverified, Linux has no desktop backend (calls fail with unsupported_platform), and the window/AX/browser/clipboard tools register on macOS only.

DeepSeek Harness sidebar for LiteLLM models, MCP servers, skills, and spend.

A floating whale-girl pet in the DSH web GUI: every hour it takes one article from a bundled 33-essay corpus of Mao Zedong's selected works and puts a cited line with its source link, one of six business angles (customer, project, organisation, cash flow, decision, self-discipline) and a one-line nudge for a founder into a bubble capped at 200 characters. Ships the maoxuan-pet preset and a maoxuan-vademecum skill over the same corpus, four poses, quiet hours and a daily cap.

Left-sidebar Skills panel for the DSH web client: lists the skills of the current DSH instance, pins favourites, and inserts /skill-name into the composer.

Skill bundle for tiered multi-agent science campaigns in math, physics, astronomy, engineering, and biomedical evidence: a shared blackboard, independent verifier and red team, wolf-pack and flanking tactics, token and time budgets, known-answer evals, a four-agent pendulum pilot, and a six-agent fourth-order pilot that caught and corrected a benchmark answer-key error. Does not claim open-problem solutions.

Serves the OwlCoda RunKit skill in the DSH skill catalog: project-owned objectives, work items, candidate identity, verification receipts, handoffs and recovery stay in project artifacts. Installs instructions only; the project-local owlrunkit CLI is a separate setup step.

Fully local push-to-talk voice input for macOS: hold a global hotkey, speak, release — transcription is pasted at your cursor. Local-first STT (Qwen3-ASR 0.6B 4bit on MLX/Metal by default, SenseVoice and mlx-whisper fallbacks), zero external APIs, launchd self-healing service and an 8-point diagnose script. The bundled skill lets the agent install, configure (Karabiner hotkey wiring, launchd, engine switching) and troubleshoot the whole toolchain for you.

Turn a feature that actually runs into a trustworthy delivery demo video, or a defect into a traceable feedback video: real screen recordings, edge-tts narration with word-clock subtitles, a self-contained ffmpeg pipeline, and a deterministic quality gate (spec, audio, loudness, black/freeze/silence scans) that refuses to pass a fake or broken demo. Feedback episodes add severity/phase chips, a repro-steps overlay and a ticket-ready report bound to the artifact SHA256. Preflight and artifact verification included. Requires Python 3.9+, ffmpeg/ffprobe on PATH, and `pip install edge-tts Pillow`; narration calls the public edge-tts endpoint.

Coding agent preset plus an embedded coding-discipline skill for DeepSeek Harness: verify-first edits, minimal diffs, real test runs and evidence-based reports.

Starts the published local BeatDesign 0.2.5 workspace and connects 30 MCP tools for projects, Canvas, Assets and Timeline, with a shared-project Skill and remote-generation approval guidance. Requires Node.js 22.12+ and a free port 3020; frame extraction and timeline rendering also need ffmpeg/ffprobe on PATH (browser export does not).

Connects an existing local BeatGEO instance through its scoped MCP key for brands, AI visibility evidence and drafts; includes setup diagnostics and a Skill for the same brand's SEO dashboard.

Lingshu startup injector: runs brain.py startup on every new agent session and injects persona / memory / todos automatically. Requires Python 3, and the Lingshu skill installed at ~/.dsh/skills/lingshu; silently does nothing if either is missing. Main repo also ships a bundled SKILL.md entry point.

Local-first research toolkit for DSH: registers kb_grep, kb_list, and kb_save model tools. kb_grep searches the markdown knowledge base with ripgrep when present and falls back to grep, while kb_list and kb_save go through the scoped ctx.fs filesystem service; the KB defaults to ~/dsh-kb. The repo also ships two skills (local-first-research and session-memory) that must be copied into a DSH skills directory yourself; they are not installed by the plugin bundle. The plugin is pure Node ESM with no npm runtime dependencies and ships a framework-free node test harness. Installable via plugin_manager install_bundle; no client UI is bundled.

DeepSeek Harness plugin: shared architecture source of truth for agent and human, no full-code reading. System Prompt includes only MEMORY.md with links to per-module SPEC.md; JOURNAL.md logs actions separately.

AOCI-CODE cognition layer for DeepSeek Harness: one-shot /aoci command + dynamic MCP bridge for governed, Git-versioned repository/database cognition.

DSH 插件：远程连接 + 逆向分析（REA / Ghidra）

HireSeeker: поиск вакансий из Telegram-каналов и карьерных сайтов компаний. CLI/npx, JSON, skills для AI-агентов и плагин DeepSeek Harness.

Declares a PPT Master agent preset (skill + interpreter tool, scoped to that preset) and manages the Python interpreter and projects root it runs with through the plugin's own Config

Skills, MCP and installable assistant packages with session-scoped capabilities on official DSH services

Role-based model manager for DeepSeek Harness: assign models to planning, execution, vision and main roles, route subagent work by role, escalate sessions that invoke a planning skill (grilling / grill-me) to the planning role, report which model every su

Skill Forge for DeepSeek Harness: distill a conversation or pasted context into a reusable SKILL.md, so a similar question later hits a skill instead of re-deriving the answer. Includes 4 model tools and a Web GUI panel.