v1.2.0 · Apache-2.0
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
v1.3.35 · no license
🚀 Expert guidance for HarmonyOS NEXT (API 12+) development. Covers IDE operations, performance tuning, architecture (HAP/HAR/HSP), and automation testing.
v0.20.0 · MIT
Idea-to-store harness for Flutter/Flame games
v2.1.2 · MIT
The agentic meta-harness — freeze the model, evolve the harness. An open runtime that routes each query to the cost-optimal model, evolves its own harness (planner/context/reviewer/retry/tool/memory/score policy) and autonomously repairs code, then orches
v5.9.1 · MIT
🥇 The strongest free web search plugin for DeepSeek Harness, and the search bridge for every model without native web access. Free, no signup, no API key. Ask the web or X, get structured JSON evidence. | 🥇 全网最强的 DeepSeek Harness 免费联网搜索插件,免费免注册免 API key。为不能联网的模型补上搜索,问网页或 X,拿回结构化 JSON 证据(搜索、抓取、引用)。
v0.1.0 · MIT
AI-assisted local creator workbench for DeepSeek Harness
v1.0.1 · MIT
Persistent multi-model workflow teams for DeepSeek Harness — dynamic lead planning, bounded DAGs, per-agent model/tools, Run Center and Token insights.
v0.3.5 · Apache-2.0
88 installable open-source Agent Skills for research, social intelligence, marketing, and business workflows—compatible with Codex, Claude Code, Cursor, Gemini CLI, and DeepSeek Harness.
— · Apache-2.0
88 installable open-source Agent Skills for research, social intelligence, marketing, and business workflows—compatible with Codex, Claude Code, Cursor, Gemini CLI, and DeepSeek Harness.
v0.5.1 · Apache-2.0
MCP management console for the official DeepSeek Harness MCP client: /mcp command with health diagnostics and pipeline trial calls, a Settings MCP tab with server CRUD (approval-gated writes, automatic backups) and a tool trial console over the official tool pipeline (Apache-2.0, dsh-plugin).
v0.3.0 · Apache-2.0
Text-first browser & background macOS control for DeepSeek Harness (DSH): target the right process and window without taking the user's pointer. 为 DSH 提供文本优先的电脑控制:后台操作 Chromium 与 macOS,不抢前台、不移动鼠标。
v0.1.0 · MIT
为 DeepSeek Harness 提供电脑控制插件:新鲜 Accessibility 观测、过期状态拒绝、作用域权限与安全输入(目前支持macos)|Accessibility-first macOS Computer Use bundle for DSH with fresh observations, stale-state rejection, scoped permissions, and safe input.
v1.0.2 · MIT
Multi-agent mathematical problem-solving & verification frameworks for DeepSeek Harness — TWO agent presets in one install: vibe-math-v1 (classic pipeline: brainstorm → solver iteration → multi-verifier debate → Verified) and vibe-math-v2 (new probability
v0.2.3 · no license
Tabbit Browser plugins for Deepseek Harness
v2.3.0 · MIT
DeepSeek Harness 插件:数学建模论文自动化流水线 v2(8 步骤 × 19 迭代 × N 轮:图表视觉自检与修复、评审问题修复闭环、跨步骤缺陷台账与向上修复、论文兜底定稿、质疑驱动、断点续跑、进度面板)
— · no license
📟 Claude Code physical companion on M5Paper V1.1 e-ink. Multi-session dashboard, hardware approval (buttons + touch), AskUserQuestion option cards, CJK, USB/BLE, installable as a Claude Code plugin. / Claude Code 实体搭档,把 M5Paper 变成 Claude Code 的多会话看板 + 硬件审批面板。
v0.1.2 · MIT
把Claude Code的UltraCode模式带给DSH,把 DSH 的一次性多 Agent 调度,升级为可生成、可保存、可治理、可观察、可恢复的 Workflow 层
v1.1.0 · MIT
Compare multiple skills on the same task and pick the winner.
v3.1.0 · MIT
MCP server for full Godot 4.x engine control: 157 tools for AI-driven game development (GDScript and C#/.NET). Tested with Godot 4.7.
v2.4.2 · MIT
A Claude Code plugin whose workshop of expert agents learns as it builds: repeated fixes become permanent rules, loved tweaks become taste it remembers - and every change waits behind a write gate you control.
v0.3.4 · AGPL-3.0
TongFlow — Multimodal GenAI Studio
v0.0.1 · MIT
DSH plugin: auto-upload conversation progress to Tencent IMA (daily note + Work knowledge base), mirroring the local Claude Code ima-upload workflow
v0.3.74 · MIT
One macOS app for Claude Code, Codex, and every agent runtime you use — scheduled runs, global hotkey launcher, per-run git worktrees, one review board.
v0.90.0 · MIT
🐳 The Everything-Plugin Quant OS — AI-native & DSH-native: 46 tools, 6 pluggable domains (data/alpha/ML/risk/execution), one end-to-end PDAT→PET pipeline. Methods open, secrets internal.