OpenClaw

index1-doctor

Diagnose index1 environment - check Python, Ollama, models, index health.

gladego0 来源安装数☆ 0 仓库 Starsv2.0.3

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install gladego/index1-doctor

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

index1 Doctor

Environment diagnostic skill for index1. Runs health checks and provides fix recommendations.

Usage

Type /doctor or ask the agent to diagnose index1.

What it checks

The skill runs three commands sequentially and analyzes results:

1. Environment Check

index1 doctor

Checks:

Python version (>= 3.10 required)
SQLite version (>= 3.43.0 for full features)
sqlite-vec extension
ONNX embedding (built-in, bge-small-en-v1.5)
Ollama connectivity (optional, for multilingual/CJK)
Embedding model availability
CJK/Chinese support (jieba)

2. Index Status

index1 status

Shows:

Document count and chunk count
Collections list
Last index time
Database size

3. Ollama Models

ollama list

Shows installed models. Recommended embedding models:

nomic-embed-text — Standard, 270MB
bge-m3 — Best for CJK content, 1.2GB

Interpreting Results

Check	Pass	Fail Fix
Python	>= 3.10	Install Python 3.11+
SQLite	>= 3.43.0	Auto-degrades, no action needed
sqlite-vec	Loaded	`pip install index1` (bundled)
Ollama	Connected	`curl -fsSL https://ollama.com/install.sh \| sh`
Model	Available	`ollama pull nomic-embed-text`
CJK	jieba loaded	`pip install index1[chinese]`
Index	Has documents	`index1 index ./src ./docs`

When to use

First-time setup verification
After upgrading index1
When search returns unexpected results
When vector search stops working
Before reporting issues

来源信息

Source: github
Repository: openclaw/skills
Path: skills/gladego/index1-doctor
Version: 2.0.3
Commit: 91860d34d632813cdd59527720d2d8141af9eca3
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# index1 Doctor

Environment diagnostic skill for index1. Runs health checks and provides fix recommendations.

## Usage

Type `/doctor` or ask the agent to diagnose index1.

## What it checks

The skill runs three commands sequentially and analyzes results:

### 1. Environment Check

```bash
index1 doctor
```

Checks:
- Python version (>= 3.10 required)
- SQLite version (>= 3.43.0 for full features)
- sqlite-vec extension
- ONNX embedding (built-in, bge-small-en-v1.5)
- Ollama connectivity (optional, for multilingual/CJK)
- Embedding model availability
- CJK/Chinese support (jieba)

### 2. Index Status

```bash
index1 status
```

Shows:
- Document count and chunk count
- Collections list
- Last index time
- Database size

### 3. Ollama Models

```bash
ollama list
```

Shows installed models. Recommended embedding models:
- `nomic-embed-text` — Standard, 270MB
- `bge-m3` — Best for CJK content, 1.2GB

## Interpreting Results

| Check | Pass | Fail Fix |
|-------|------|----------|
| Python | >= 3.10 | Install Python 3.11+ |
| SQLite | >= 3.43.0 | Auto-degrades, no action needed |
| sqlite-vec | Loaded | `pip install index1` (bundled) |
| Ollama | Connected | `curl -fsSL https://ollama.com/install.sh \| sh` |
| Model | Available | `ollama pull nomic-embed-text` |
| CJK | jieba loaded | `pip install index1[chinese]` |
| Index | Has documents | `index1 index ./src ./docs` |

## When to use

- First-time setup verification
- After upgrading index1
- When search returns unexpected results
- When vector search stops working
- Before reporting issues

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