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DeepCopilot

Copilot-style AI coding agent for VS Code, powered by DeepSeek V4.

Install / Use

npx skills add deep-copilot/DeepCopilot

Installs into whichever agent you are using.

About this skill
📦

Other

Other agent config

Quality Score

76/100

Supported Platforms

Cursor
GitHub Copilot

Our assessment of DeepCopilot

DeepCopilot scores 76/100 on our quality scale, 836th of 963 AI & Machine Learning skills we index.

Its Other is 59 KB long, well organised into 79 sections with 9 code examples: long enough that it reads more like full documentation than a focused instruction file, which agents can find harder to follow.

It has 79 GitHub stars, a meaningful sign that others use it.

Substance
21/30
Structure
20/20
Description
12/15
Adoption
8/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated about 2 months ago, so DeepCopilot is actively maintained.
  • Our last check on 2026-10-21 found the source still online.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 95/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

DeepCopilot compared with similar skills

All 4 of these similar skills score higher than DeepCopilot; compare them before choosing.

SkillScoreStarsUpdatedFormat
DeepCopilot (this skill)by deep-copilot76792mo agoOther
claude-memby thedotmack100113.6ktodayCLAUDE.md
Agent-Reachby Panniantong100109.3ktodayCLAUDE.md
Understand-Anythingby Egonex-AI10091.0k11d agoCLAUDE.md
headroomby headroomlabs-ai10079.0ktodayCLAUDE.md

Frequently asked questions

How do I install DeepCopilot?
Run npx skills add deep-copilot/DeepCopilot. The install tabs above show the steps for each supported agent.
Which AI agents does DeepCopilot work with?
It is written for Cursor and GitHub Copilot, as a Other file. Other agents that read the same format can often use it too.
Is DeepCopilot safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 95/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is DeepCopilot still maintained?
The repository was last updated about 2 months ago, so DeepCopilot is actively maintained.

Deep Copilot

<p align="center"> <img src="imgs/main_logo.png" alt="Deep Copilot" width="100%"/> </p> <p align="center"> <b>基于 DeepSeek API 的 VS Code 对话式 AI 编程助手扩展</b><br/> <sub>A VS Code extension for conversational AI-assisted coding via the DeepSeek API</sub> </p> <p align="center"> <a href="https://code.visualstudio.com/"><img src="https://img.shields.io/badge/VS%20Code-%E2%89%A51.95.0-blue" alt="VS Code"/></a> <a href="https://github.com/ZhouChaunge/DeepCopilot/releases"><img src="https://img.shields.io/github/v/release/ZhouChaunge/DeepCopilot?label=version&color=success" alt="Version"/></a> <a href="https://github.com/ZhouChaunge/DeepCopilot/stargazers"><img src="https://img.shields.io/github/stars/ZhouChaunge/DeepCopilot?style=flat&color=yellow" alt="GitHub stars"/></a> <a href="https://marketplace.visualstudio.com/items?itemName=ZhouChaunge.deep-copilot"><img src="https://img.shields.io/visual-studio-marketplace/i/ZhouChaunge.deep-copilot?label=installs&color=brightgreen" alt="VS Marketplace Installs"/></a> <a href="./LICENSE"><img src="https://img.shields.io/badge/license-MIT-green" alt="License"/></a> </p>

Deep Copilot 是一个 VS Code 扩展,在侧边栏提供基于大语言模型的对话式编程辅助。它通过 DeepSeek API(兼容 OpenAI 协议)与模型交互,支持文件读写、代码搜索、Shell 命令执行等工具调用,结果以流式方式实时渲染。扩展无运行时 npm 依赖,基于 VS Code Extension API 与 Node.js 内置模块实现,无需在宿主机额外部署任何服务。

Deep Copilot is a VS Code extension that provides LLM-based conversational coding assistance through the sidebar. It interacts with models via the DeepSeek API (OpenAI-compatible protocol), supporting tool calls for file read/write, code search, and shell command execution — all streamed in real time. The extension has no runtime npm dependencies and is built on the VS Code Extension API and Node.js built-ins; no additional service deployment is required.


🔑 API Keys Required · 需要配置的 API Key

开始使用前只需准备以下 Key(最少只需第一个):
You only need the following keys to get started — at minimum just the first one:

| # | API Key | 用途 · Purpose | 获取地址 · Get it here | 是否必须 · Required | |---|---|---|---|---| | 1 | DeepSeek API Key | 驱动 AI 对话与 Agent 工具调用 · Powers all AI chat & agent tool calls | platform.deepseek.com/api_keys | ✅ 必须 · Required | | 2 | Tavily API Key | 启用联网搜索工具 web_search · Enables the web_search tool | app.tavily.com | ⚙️ 可选 · Optional |

如何填入 · How to set them

中文:

  1. 安装扩展后,点击侧边栏活动栏的 🐋 图标打开 Deep Copilot 面板
  2. 点击面板右下角 🔑 按钮 → 粘贴 DeepSeek API Key → 保存
  3. 若需要联网搜索,在同一弹窗里继续填入 Tavily API Key

English:

  1. After installing, click the 🐋 icon in the activity bar to open the Deep Copilot panel
  2. Click the 🔑 button in the bottom-right of the panel → paste your DeepSeek API Key → save
  3. For web search, fill in your Tavily API Key in the same dialog

国内用户:若 api.deepseek.com 连接不稳定,在 🔑 弹窗中将 Base URL 改为 https://api.deepseeki.com。
China users: if api.deepseek.com is slow, set Base URL to https://api.deepseeki.com in the 🔑 dialog.


📑 Table of Contents · 目录


✨ Highlights · 亮点

| English | 中文 | | -------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------- | | Agentic loop with multi-turn tool calling on DeepSeek V4 (Pro / Flash / Reasoner) | 与 DeepSeek V4(Pro / Flash / Reasoner)多轮tool-calling 循环 | | File tools: read, write, str-replace, apply_patch, list dir, find files, ripgrep search | 文件工具:读 / 写 / 精准替换 / apply_patch / 列目录 / 查找 / 全文搜索 | | Shell tool with configurable approval policy | 终端工具,按审批策略弹窗确认 | | Web search via Tavily (optional API key) | 网络搜索(Tavily,可选 Key) | | Plan & Todos panel — agent maintains a structured plan you can watch tick off | Plan & Todos 面板,Agent 自维护结构化任务并实时勾选 | | Revert last turn — one-click rollback of all file edits in the current agent turn | 一键回滚当前 Agent 轮次对文件的所有修改 | | Pending edits panel — GH-Copilot-style review popover above the composer: per-file +N/-M, hover Keep/Discard, click row to open native diff editor; survives turn end | 待审编辑面板—输入框上方弹出 GH Copilot 风格的复检面板:逐文件 +N/-M、悬停保留/丢弃、点击行打开原生 Diff 编辑器;对话结束后仍可继续点击 | | User memory (~/.deepcopilot/memory.md) — cross-project preferences in every system prompt | 用户记忆(~/.deepcopilot/memory.md),跨项目偏好自动注入系统提示词 | | MCP client — connect any MCP-compatible tool server via deepseekAgent.mcp.servers | MCP 客户端,通过 deepseekAgent.mcp.servers 连接任意 MCP 工具服务器 | | Post-tool hooks — run scripts after any tool call; output injected into model context | 工具后置钩子,工具调用后自动执行脚本,输出注入模型上下文 | | Post-edit LSP diagnostics appended to every edit so the model can self-verify | 每次编辑后自动附加LSP 诊断,模型可自行校验 | | Per-workspace session history with search, rename, delete | 每工作区独立的会话历史,可搜索 / 重命名 / 删除 | | Parallel sessions — switch away from a running task and start another; live replay on return | 多会话并行:任务跑着可以切走开新对话,回来自动回放进度 | | Streaming output with reasoning expander, blinking cursor, top progress bar | 流式输出:思维链可展开、闪烁光标、顶部进度条 | | HTML rendering — model responses render full Markdown + HTML; math via KaTeX | HTML 渲染:响应支持完整 Markdown + HTML + KaTeX 数学公式 | | Account balance display in footer (click to refresh) | 账户余额实时显示在底栏(点击刷新) | | Auto-grow input — textarea grows with content, GH Copilot style | 自适应输入框:随内容自动增高,对齐 GH Copilot 体验 | | Approval modes: Manual / Auto-Edit / Autopilot / Read-Only | 审批模式:手动 / 自动编辑 / 全自动 / 只读 | | Cost telemetry in CNY shown in the footer | 底栏显示token 数与人民币成本 | | Slash commands (/explain, /fix, /tests …), @ file refs and # context refs — pick #file, #selection, #editor, #problems, #changes, #terminal, #symbol:Foo, #fetch:URL from the input | 斜杠命令 + @ 文件引用 + # 上下文引用(在输入框键入 # 即可挑选文件 / 选区 / 编辑器 / 诊断 / Git 改动 / 终端 / 符号 / 抓取 URL) | | Smart code-block actions: Run in terminal · Insert · Copy · Fold long blocks | 代码块操作:在终端运行 / 插入 / 复制 / 长代码折叠 | | Bilingual UI + locale-aware fonts: auto follows VS Code locale (zh-cn / en) — Chinese font stack for CJK, Latin font stack for EN | 中英双语 UI + 语言感知字体:跟随 VS Code 语言自动切换界面文案与字体(中文环境使用微软雅黑/苹方,英文环境使用 Segoe UI/Inter) | | Skills system — define reusable SKILL.md packs in ~/.deepcopilot/skills (or ~/.claude/skills, ~/.copilot/skills); YAML frontmatter for workspace gating, invoke via /skill or the model's skill_invoke tool | 技能系统:在 ~/.deepcopilot/skills 等目录放置 SKILL.md 技能包,支持 YAML 元数据与工作区门控,/skill 命令或 skill_invoke 工具均可唤起 | | Inline FIM completions — DeepSeek ghost-text suggestions as you type; Tab to accept; off by default (deepCopilot.inlineCompletion.enable) | 行内 FIM 补全:基于 DeepSeek 的编辑器幽灵文字建议,Tab 接受;默认关闭,开关:deepCopilot.inlineCompletion.enable | | Plan mode — read-only investigation mode; agent can read/search but never write or run shell commands | Plan 只读模式:仅允许读文件/搜索,拒绝任何写操作,适合调查代码结构时使用 | | Ecosystem AI-rule discovery — auto-injects DEEPCOPILOT.md, .github/copilot-instructions.md, AGENTS.md, .cursor/rules/*.mdc, CLAUDE.md | 项目规则自动发现:自动注入工作区下的主流 AI 规则文件(GitHub Copilot / Cursor / Claude 等),让模型了解项目约定 | | Context window management (new in 0.41.0) — structure-aware truncation, per-file dedup, rolling summary; /compact [focus] force-compacts, /context opens a token breakdown, /fork [name] branches a new session from any message | 上下文窗口管理 (0.41.0 新增):结构感知截断、同文件去重、滚动摘要;/compact [focus] 立即压缩,/context 查看 token 占用细分,/fork [name] 从任一消息派生新会话 | | Footer context ring (new in 0.41.0) — ring indicator next to the footer ramps green → yellow → orange → red across 60 / 85 / 100% thresholds; click to open the same breakdown as /context | 底部 Context Ring (0.41.0 新增):底栏环形进度指示,按 60% / 85% / 100% 阈值由绿渐变到红;点击展开与 /context 一致的占用细分 | | Archive = pure export (updated in 0.41.6) — "Archive" now writes a Markdown snapshot under .deep-copilot/archives/ and leaves the session alone; old soft-hidden sessions are auto-unarchived on first launch | 存档 = 纯导出 (0.41.6 调整):点「存档」只生成 .deep-copilot/archives/ 下的 Markdown 快照,不再隐藏会话;老版本被隐藏的会话升级后首次启动自动还原。 | | Watchdog turns stay on duty (new in 0.41.6) — when the agent monitors a long-running background job (training, build, dev server) via read_terminal, the turn refuses to end until the job finishes or the 4 h per-turn budget elapses | 值守任务不提前退出 (0.41.6 新增):模型用 read_terminal 盯住某个后台任务(训练 / 构建 / 开发服务)后,turn 不会在“我会持续盯”之后静默断开,直到任务结束或命中 4h 本轮预算 |


🚀 Quick Start · 快速开始

Option 1 — VS Code Marketplace · 从扩展商城安装(推荐)

  1. Open VS Code → Extensions (Ctrl/Cmd+Shift+X) → Search Deep Copilot → Install. 打开 VS Code → 扩展面板(Ctrl/Cmd+Shift+X)→ 搜索 Deep Copilot → 安装。

Option 2 — Install the prebuilt VSIX · 安装预构建 VSIX

# 从 GitHub Releases 下载最新版 / Download from GitHub Releases:
# https://github.com/ZhouChaunge/DeepCopilot/releases

code --install-extension deep-copilot-0.41.6.vsix

Or in VS Code: Extensions view → ⋯ menu → Install from VSIX... and pick the file. 或在扩展面板右上角 ⋯ → Install from VSIX... 选择文件。

Step 2 — Set the API key · 配置 API Key

  1. Click the 🐋 Deep Copilot icon in the activity bar to open the chat panel.点击活动栏中的 🐋 Deep Copilot 图标,打开聊天面板。
  2. Click the 🔑 button at the bottom right of the panel, paste your DeepSeek API key.点击面板右下角 🔑 按钮,粘贴你的 DeepSeek API Key。
  3. Start chatting! 开始对话!

🛠 Build from Source · 源码构建

Prerequisites · 前置依赖

| Tool | Version | Note | | ----------------- | ------- | ------------------ | | Node.js | ≥ 18 | esbuild + vsce | | npm | ≥ 9 | comes with Node | | VS Code | ≥ 1.95 | extension host | | Git | any | optional, to clone |

Steps · 构建步骤

# 1. Clone the repo · 克隆仓库
git clone https://github.com/ZhouChaunge/DeepCopilot.git
cd DeepCopilot

# 2. Install dependencies · 安装依赖
#    (only devDependencies: esbuild + vsce + @types — runtime is pure VS Code API)
#    (只有开发依赖;运行时仅用 VS Code API,无运行时 npm 依赖)
npm i

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars79
CategoryAI
Updated2mo ago
Forks7

Languages

JavaScript

Trust signals

95/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 low