dojo.md
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
Feishu document operations (User Access Token version). Use user access token for authentication. When you need to read, create, write, or append Feishu documents.
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 hacksing/feishu-user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。
Fe access token authentication. Call Feishu Open API directly via REST API.
pip install requests
from feishu_client import FeishuClient
# Initialize client
client = FeishuClient(user_access_token="u-xxx")
Prepare the following:
Enable these permissions:
docx:document - Document operationsdrive:drive.search:readonly - Cloud drive searchsearch:docs:read - Document searchhttps://accounts.feishu.cn/open-apis/authen/v1/authorize?client_id={YOUR_APP_ID}&response_type=code&redirect_uri={YOUR_REDIRECT_URI}&scope=docx%3Adocument%20drive%3Adrive.search%3Areadonly%20search%3Adocs%3Aread
curl -X POST "https://open.feishu.cn/open-apis/authen/v1/access_token" \
-H "Content-Type: application/json" \
-d '{
"grant_type": "authorization_code",
"code": "{YOUR_CODE}",
"app_id": "{YOUR_APP_ID}",
"app_secret": "{YOUR_APP_SECRET}"
}'
The returned access_token is your user_access_token.
from feishu_client import FeishuClient
# Initialize
client = FeishuClient(user_access_token="u-xxx")
# Read document
content = client.read_doc("doc_token")
print(content)
# Create document
new_token = client.create_doc("My New Document")
print(f"New document: {new_token}")
# Write document
client.write_doc("doc_token", "# Title\n\nContent")
# Append content
client.append_doc("doc_token", "## New Section\n\nMore content")
# List all blocks
blocks = client.list_blocks("doc_tok...
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。
# Feishishu document operations using useru User
Fe access token authentication. Call Feishu Open API directly via REST API.
## Install Dependencies
```bash
pip install requests
```
## Quick Start
```python
from feishu_client import FeishuClient
# Initialize client
client = FeishuClient(user_access_token="u-xxx")
```
## Get User Access Token
### Step 1: Get App Credentials from Feishu Open Platform
Prepare the following:
- **APP_ID** - App ID (from Feishu Open Platform app settings)
- **APP_SECRET** - App Secret (from Feishu Open Platform app settings)
- **REDIRECT_URI** - Authorization callback URL
Enable these permissions:
- `docx:document` - Document operations
- `drive:drive.search:readonly` - Cloud drive search
- `search:docs:read` - Document search
### Step 2: Generate Authorization URL
```
https://accounts.feishu.cn/open-apis/authen/v1/authorize?client_id={YOUR_APP_ID}&response_type=code&redirect_uri={YOUR_REDIRECT_URI}&scope=docx%3Adocument%20drive%3Adrive.search%3Areadonly%20search%3Adocs%3Aread
```
### Step 3: Exchange for Token
```bash
curl -X POST "https://open.feishu.cn/open-apis/authen/v1/access_token" \
-H "Content-Type: application/json" \
-d '{
"grant_type": "authorization_code",
"code": "{YOUR_CODE}",
"app_id": "{YOUR_APP_ID}",
"app_secret": "{YOUR_APP_SECRET}"
}'
```
The returned `access_token` is your `user_access_token`.
---
## Usage Examples
```python
from feishu_client import FeishuClient
# Initialize
client = FeishuClient(user_access_token="u-xxx")
# Read document
content = client.read_doc("doc_token")
print(content)
# Create document
new_token = client.create_doc("My New Document")
print(f"New document: {new_token}")
# Write document
client.write_doc("doc_token", "# Title\n\nContent")
# Append content
client.append_doc("doc_token", "## New Section\n\nMore content")
# List all blocks
blocks = client.list_blocks("doc_tok...University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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