Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Shell scripts
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/openviking
What's inside
- Skill name
openviking- Description
- OpenViking 集成 — 浏览器自动化与 Web 搜索工具
- License
- MIT
- Instructions
- 101 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (2)
- SKILL.md
- viking.sh · scripts/
SKILL.md (first lines)
# OpenViking Skill
OpenViking 上下文数据库集成 — 给 AI 朝廷加上长期记忆和知识库。
## 什么是 OpenViking
OpenViking 是火山引擎开源的 AI Agent 上下文数据库,用文件系统范式统一管理记忆、资源和技能。
相比 OpenClaw 默认的 qmd 记忆后端,OpenViking 在大规模文档场景下更强:
| 能力 | qmd(默认) | OpenViking |
|------|-----------|------------|
| 语义搜索 | 基础向量匹配 | 目录递归 + 语义融合 |
| 自动摘要 | ❌ | ✅ L0/L1/L2 三层 |
| 结构化浏览 | ❌ | ✅ 虚拟文件系统 |
| Token 节省 | ❌ | ✅ 按需加载 |
## 安装
### 1. 安装 Python 包
```bash
pip install openviking
```
### 2. 获取 Embedding API Key
推荐使用免费的 NVIDIA NIM API:
1. 访问 https://build.nvidia.com/
2. 登录 → API Keys → 生成 Key
3. 保存 key(以 `nvapi-` 开头)
也可以用火山引擎、OpenAI 等其他 provider。
### 3. 创建配置文件
```bash
mkdir -p ~/.openviking
cat > ~/.openviking/ov.conf << 'EOF'
{
"embedding": {
"dense": {
"api_base": "https://integrate.api.nvidia.com/v1",
"api_key": "YOUR_NVIDIA_API_KEY",
"provider": "openai",
"dimension": 4096,
"model": "nvidia/nv-embed-v1"
}
},
"vlm": {
"api_base": "https://integrate.api.nvidia.com/v1",
"api_key": "YOUR_NVIDIA_API_KEY",
"provider": "openai",
"model": "meta/llama-3.3-70b-instruct"
}
}
EOF
```
### 4. 设置环境变量
```bash
echo 'export OPENVIKING_CONFIG_FILE=~/.openviking/ov.conf' >> ~/.bashrc
source ~/.bashrc
```
## 使用方式
Agent 通过 exec 调用 `scripts/viking.sh` 脚本:
```bash
# 查看状态
bash skills/openviking/scripts/viking.sh info
# 索引文件
bash skills/openviking/scripts/viking.sh add ./my-document.md
# 批量索引目录
bash skills/openviking/scripts/viking.sh add-dir ./docs/
# 语义搜索
bash skills/openviking/scripts/viking.sh search "某个话题"
# 浏览已索引的文件
bash skills/openviking/scripts/viking.sh list
# 读取文件摘要
bash skills/openviking/scripts/viking.sh summary <file-path>
```
## 朝廷集成建议
- **兵部**:索引代码仓库,搜索相关代码片段
- **户部**:索引财务报表,查询历史数据
- **礼部**:索引品牌素材和营销案例
- **工部**:索引运维文档和 runbook
- **刑部**:索引法律法规和合同模板
建议保留 qmd 做日常轻量记忆,OpenViking 做大规模知识库。From wanikua/danghuangshang, MIT.
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Signals
- Stars
- 2,712
- Forks
- 260
- Open issues
- 34
- Last commit (this folder)
- Mar 16, 2026 (7 months ago)
- Last release
- Mar 12, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/wanikua/danghuangshang
- Website
- danghuangshang.com
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
openviking skill. Agent Mart. https://agentmart.dev/skills/wanikua-openviking (last updated 2026-10-24)