Plugins

Remotion video creation and verified rendering plugin for DeepSeek Harness

DeepSeek Harness (dsh) plugin for @tabilo/ai-code-review: registers the ai_code_review tool (review | context) that reuses the Node.js engine to collect diffs, run tests/coverage, do impact analysis, and feed pack skills to the model.

macOS desk pet forked from anneheartrecord/dsh-desk-pet, in a real always-on-top window that covers fullscreen Spaces: the pose follows whatever the local DSH is doing across six states, the right-click menu is a real AppKit one carrying quiet mode and a session list, and seven skins ship with it. Two of the seven are drawn from geometry by a script in the repo rather than generated, so making a skin needs no image model and no API credits; the bundled skill still expands one photo into all eighteen poses on your own image tool and credentials. There is no Electron and nothing to install alongside it: the window is driven through ctypes on the Python that ships with macOS.

一个可直接链接到 DeepSeek Harness（DSH）Web profile 的独立安全检查插件。在安装或使用不受信任的 Skill 前，先执行浏览器本地粗检，再由用户决定是否调用 DSH 已配置的大模型进行结构化复核。

让 DSH 自动支持中文技能名（私家大厨/卡路里/作息管家 等）| Make DeepSeek Harness discover Chinese SKILL.md without renaming — slash /私 → 私家大厨, /私家大厨 直达, skill({name:"私家大厨"}) 均可用

Sidebar skill hub: scan Claude/Codex/Cursor/Gemini skill directories for one-click import, manage global/project skills (toggle, trash), and install from dropped folders, zip archives, or local paths of any size.

Installs the coaligne-workflow skill for CoAligne team collaboration; requires CoAligne Desktop (signed in) to provide the MCP connection - not usable without Desktop.

Model-provider-neutral goal acceptance criteria and validation enforcement plugin for the DeepSeek Harness

Adds a sentient floating eye to DeepSeek Harness — injects a taming kernel that makes the AI truly understand you, with 11 dynamic eye skins, ghost mode, and zero token cost when AI mode is off.

Rules, commands & skills manager for dsh: /rules slash command, settings panel with visual rule editing (add/edit/disable/delete, free-zone support), user-defined custom commands with {input} arguments, skill management, and automatic backup & one-click restore of AGENTS.md.

Checks git commit messages against the 7DGroup convention (Chinese type tags, length and punctuation rules) before committing, as a client-side guard before GitLab pre-receive hooks.

Human-in-the-loop tools (`human_task` / `human_task_ready_check`): pause the agent until the user performs a real-world action or returns an observation (GUI operation, game testing, visual verification, hardware checks), gated by session consent and an AFK presence check, returning a structured JSON result via a web task dialog.

Codex-style token usage panel: whole-instance cumulative/per-session peak tokens, longest chat & streak, daily/weekly/cumulative activity heatmap, and plugin/skill Top5.

Read-only Claude Code compatibility bridge for DeepSeek Harness: Skills, Rules, command Hooks, and Agents from .claude as SSOT.

DeepSeek Harness(DSH) web plugin: paste files into the composer, inbox storage, thumbnails. Text via read_inbox; image understanding needs your vision skill (bundled image-reader + ARK_API_KEY).

DeepSeek Harness plugin and bundled Skill for safely evolving Cordis Candidates with Harbor.

DeepSeek Harness 插件：在对话中搜索、安装和管理 SkillHub 技能

面向 DeepSeek Harness Standard 的 DeepSeek V4 首轮 RL 锚定插件，promotion 后恢复完整能力与 Skill。

DeepSeek Harness community Bundle for the skill-security-guard static scanner

Paper Design MCP bridge as a DeepSeek Harness bundle: paper_* tools, image screenshot support, design skills, OAuth auth, and Cursor-parity design guidance.

导入智能体设置：从 Claude Code / Cursor / Codex / cc-switch 一键导入 Skills、MCP、指令、模型供应商等到 DeepSeek Harness（设置 → 通用设置 → 导入智能体设置）

Skill and MCP management center for DeepSeek Harness: browse and toggle user/project skills, add/edit/remove MCP servers hot without restart, with live per-session status in the sidebar.

DeepSeek Harness out-of-tree plugin: give a text-only coding model eyes by routing images to a Qwen-VL (DashScope) route through ctx.llm and returning text.

生物信息学「许愿式分析」插件：BioPython 全功能覆盖（任意代码执行器 bio_python + 14 个领域 skill）+ 高频语义化工具 + 零依赖自举 Python 环境（uv + venv + biopython 自动下载到插件私有目录）。用户下载安装即可许愿式分析。