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Agent Skill · 研究检索

baserow-api(baserow API 搜索)

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

baserow-api 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 13,427。

总安装 9,384周安装 391GitHub Stars 公开资料未说明下载 3,128核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:baserow-api(baserow API 搜索)
来源仓库:https://github.com/byungkyu/baserow-api
安装命令:
openclaw skills install baserow-api
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install baserow-api

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

集成 Baserow API 进行数据库行、字段和表的管理,支持读写操作。适合在 OpenClaw 中辅助接口设计、文档生成与前后端联调任务。通过 clawhub 安装并使用 openclaw skills install baserow-api 命令部署。

使用前请确认 API 密钥权限、分页规则及错误处理机制,避免越权或数据异常。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install baserow-api;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

baserow-api 怎么安装?

在终端执行 openclaw skills install baserow-api。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

baserow-api 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

baserow-api 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

baserow-api 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

baserow-api 用的人多吗?

公开数据是累计安装 9,384 次,近一周安装 391 次,下载 3,128 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

baserow-api 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
baserow-api

baserow API 搜索 · 本页

9,384—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
baserow
description
|
compatibility
Requires network access and valid Maton API key
metadata
author
maton
version
1.0
clawdbot
emoji
homepage
https://maton.ai
requires
env

Baserow

Access the Baserow API with managed API key authentication. Manage database rows with full CRUD operations, filtering, sorting, and batch operations.

Quick Start

# List rows from a table
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/baserow/api/database/rows/table/{table_id}/?user_field_names=true')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Base URL

https://api.maton.ai/baserow/{native-api-path}

Maton proxies requests to api.baserow.io and automatically injects your API token.

Authentication

All requests require the Maton API key in the Authorization header:

Authorization: Bearer $MATON_API_KEY

Environment Variable: Set your API key as MATON_API_KEY:

export MATON_API_KEY="YOUR_API_KEY"

Getting Your API Key

  1. Sign in or create an account at maton.ai
  2. Go to maton.ai/settings
  3. Copy your API key

Connection Management

Manage your Baserow API key connections at https://api.maton.ai.

List Connections

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections?app=baserow&status=ACTIVE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Create Connection

python <<'EOF'
import urllib.request, os, json
data = json.dumps({'app': 'baserow'}).encode()
req = urllib.request.Request('https://api.maton.ai/connections', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Get Connection

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections/{connection_id}')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Response:

{
  "connection": {
    "connection_id": "{connection_id}",
    "status": "ACTIVE",
    "creation_time": "2026-03-02T12:01:29.812801Z",
    "last_updated_time": "2026-03-02T12:02:17.932675Z",
    "url": "https://connect.maton.ai/?session_token=...",
    "app": "baserow",
    "metadata": {},
    "method": "API_KEY"
  }
}

Open the returned url in a browser to enter your Baserow database token.

Delete Connection

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections/{connection_id}', method='DELETE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Specifying Connection

If you have multiple Baserow connections, specify which one to use with the Maton-Connection header:

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/baserow/api/database/rows/table/123/')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Maton-Connection', '{connection_id}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

If you have multiple connections, always include this header to ensure requests go to the intended account.

Security & Permissions

  • Access is scoped to database rows, fields, and tables within the connected Baserow account.
  • All write operations require explicit user approval. Before executing any create, update, or delete call, confirm the target resource and intended effect with the user.

API Reference

Rows

List Rows
GET /baserow/api/database/rows/table/{table_id}/

Query parameters:

  • user_field_names=true - Use human-readable field names instead of field_123 IDs
  • size - Number of rows per page (default: 100)
  • page - Page number (1-indexed)
  • order_by - Field name to sort by (prefix with - for descending)
  • filter__{field}__{operator} - Filter rows (see Filtering section)
  • search - Search query across all fields
  • include - Comma-separated field names to include
  • exclude - Comma-separated field names to exclude

Response:

{
  "count": 5,
  "next": "http://api.baserow.io/api/database/rows/table/123/?page=2&size=2",
  "previous": null,
  "results": [
    {
      "id": 1,
      "order": "1.00000000000000000000",
      "Assignee Name": "Alice Johnson",
      "Email": "alice.johnson@example.com",
      "Tasks": []
    }
  ]
}
Get Row
GET /baserow/api/database/rows/table/{table_id}/{row_id}/

Response:

{
  "id": 1,
  "order": "1.00000000000000000000",
  "field_7456198": "Alice Johnson",
  "field_7456201": "alice.johnson@example.com",
  "field_7456215": []
}
Create Row
POST /baserow/api/database/rows/table/{table_id}/
Content-Type: application/json

{
  "field_7456198": "New User",
  "field_7456201": "newuser@example.com"
}

Or with user field names:

POST /baserow/api/database/rows/table/{table_id}/?user_field_names=true
Content-Type: application/json

{
  "Assignee Name": "New User",
  "Email": "newuser@example.com"
}

Response:

{
  "id": 6,
  "order": "6.00000000000000000000",
  "field_7456198": "New User",
  "field_7456201": "newuser@example.com",
  "field_7456215": []
}
Update Row
PATCH /baserow/api/database/rows/table/{table_id}/{row_id}/
Content-Type: application/json

{
  "field_7456198": "Updated Name"
}

Response:

{
  "id": 1,
  "order": "1.00000000000000000000",
  "field_7456198": "Updated Name",
  "field_7456201": "alice.johnson@example.com",
  "field_7456215": []
}
Delete Row
DELETE /baserow/api/database/rows/table/{table_id}/{row_id}/

Returns HTTP 204 No Content on success.


Batch Operations

Batch Create Rows
POST /baserow/api/database/rows/table/{table_id}/batch/
Content-Type: application/json

{
  "items": [
    {"field_7456198": "User 1", "field_7456201": "user1@example.com"},
    {"field_7456198": "User 2", "field_7456201": "user2@example.com"}
  ]
}

Response:

{
  "items": [
    {"id": 7, "order": "7.00000000000000000000", "field_7456198": "User 1", ...},
    {"id": 8, "order": "8.00000000000000000000", "field_7456198": "User 2", ...}
  ]
}
Batch Update Rows
PATCH /baserow/api/database/rows/table/{table_id}/batch/
Content-Type: application/json

{
  "items": [
    {"id": 7, "field_7456198": "Updated User 1"},
    {"id": 8, "field_7456198": "Updated User 2"}
  ]
}

Response:

{
  "items": [
    {"id": 7, "order": "7.00000000000000000000", "field_7456198": "Updated User 1", ...},
    {"id": 8, "order": "8.00000000000000000000", "field_7456198": "Updated User 2", ...}
  ]
}
Batch Delete Rows
POST /baserow/api/database/rows/table/{table_id}/batch-delete/
Content-Type: application/json

{
  "items": [7, 8]
}

Returns HTTP 204 No Content on success.


Fields

List Fields
GET /baserow/api/database/fields/table/{table_id}/

Response:

[
  {
    "id": 7456198,
    "table_id": 863922,
    "name": "Assignee Name",
    "order": 0,
    "type": "text",
    "primary": true,
    "read_only": false,
    "description": null
  },
  {
    "id": 7456201,
    "table_id": 863922,
    "name": "Email",
    "order": 1,
    "type": "text",
    "primary": false
  }
]

Tables

List All Tables

Get all tables across all databases accessible by your token.

GET /baserow/api/database/tables/all-tables/

Response:

[
  {
    "id": 863922,
    "name": "Assignees",
    "order": 0,
    "database_id": 419329
  },
  {
    "id": 863923,
    "name": "Tasks",
    "order": 1,
    "database_id": 419329
  }
]

Move Row

Reposition a row within a table.

PATCH /baserow/api/database/rows/table/{table_id}/{row_id}/move/

Query parameters:

  • before_id - Row ID to move before (if omitted, moves to end)

Example - Move row to before row 3:

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request(
    'https://api.maton.ai/baserow/api/database/rows/table/863922/5/move/?before_id=3',
    method='PATCH'
)
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Response:

{
  "id": 5,
  "order": "2.50000000000000000000",
  "field_7456198": "Moved User",
  "field_7456201": "moved@example.com"
}

File Uploads

Upload File via URL

Upload a file from a publicly accessible URL.

POST /baserow/api/user-files/upload-via-url/
Content-Type: application/json

{
  "url": "https://example.com/image.png"
}

Example:

python <<'EOF'
import urllib.request, os, json
data = json.dumps({'url': 'https://httpbin.org/image/png'}).encode()
req = urllib.request.Request(
    'https://api.maton.ai/baserow/api/user-files/upload-via-url/',
    data=data,
    method='POST'
)
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Response:

{
  "url": "https://files.baserow.io/user_files/...",
  "thumbnails": {
    "tiny": {"url": "...", "width": 21, "height": 21},
    "small": {"url": "...", "width": 48, "height": 48},
    "card_cover": {"url": "...", "width": 300, "height": 160}
  },
  "visible_name": "image.png",
  "name": "abc123_image.png",
  "size": 8090,
  "mime_type": "image/png",
  "is_image": true,
  "image_width": 100,
  "image_height": 100,
  "uploaded_at": "2026-03-02T12:00:00Z"
}
Upload File (Multipart)

Upload a file directly using multipart form data.

POST /baserow/api/user-files/upload-file/
Content-Type: multipart/form-data

Example:

curl -X POST "https://api.maton.ai/baserow/api/user-files/upload-file/" \
  -H "Authorization: Bearer $MATON_API_KEY" \
  -F "file=@/path/to/file.pdf"

Response: Same format as upload-via-url.

Using Uploaded Files in Rows

After uploading, use the file object in a file field:

POST /baserow/api/database/rows/table/{table_id}/?user_field_names=true
Content-Type: application/json

{
  "Attachment": [{"name": "abc123_image.png"}]
}

Filtering

Use filter parameters to query rows:

filter__{field}__{operator}={value}

With user_field_names=true:

GET /baserow/api/database/rows/table/{table_id}/?user_field_names=true&filter__Assignee+Name__contains=Alice

Multiple filters use AND logic by default. Use filter_type=OR to change to OR logic.

Filter Operators

Text Filters
OperatorDescription
equalExact match
not_equalNot equal
containsContains substring
contains_notDoes not contain substring
contains_wordContains whole word
doesnt_contain_wordDoes not contain whole word
length_is_lower_thanText length is less than value
Numeric Filters
OperatorDescription
higher_thanGreater than
higher_than_or_equalGreater than or equal
lower_thanLess than
lower_than_or_equalLess than or equal
is_even_and_wholeValue is even and whole number
Date Filters
OperatorDescription
date_isDate equals (use with timezone)
date_is_notDate does not equal
date_is_beforeDate is before
date_is_on_or_beforeDate is on or before
date_is_afterDate is after
date_is_on_or_afterDate is on or after
date_is_withinDate is within period
date_equalDate equals (legacy)
date_not_equalDate does not equal (legacy)
date_equals_todayDate is today
date_before_todayDate is before today
date_after_todayDate is after today
date_within_daysDate within X days
date_within_weeksDate within X weeks
date_within_monthsDate within X months
date_equals_days_agoDate equals X days ago
date_equals_weeks_agoDate equals X weeks ago
date_equals_months_agoDate equals X months ago
date_equals_years_agoDate equals X years ago
date_equals_day_of_monthDate equals specific day of month
date_before_or_equalDate is before or equal (legacy)
date_after_or_equalDate is after or equal (legacy)
Boolean Filters
OperatorDescription
booleanBoolean equals (true/false)
Link Row Filters
OperatorDescription
link_row_hasHas linked row with ID
link_row_has_notDoes not have linked row with ID
link_row_containsLinked row contains text
link_row_not_containsLinked row does not contain text
Single Select Filters
OperatorDescription
single_select_equalSingle select equals option ID
single_select_not_equalSingle select does not equal option ID
single_select_is_any_ofSingle select is any of option IDs
single_select_is_none_ofSingle select is none of option IDs
Multiple Select Filters
OperatorDescription
multiple_select_hasHas option selected
multiple_select_has_notDoes not have option selected
multiple_select_is_exactlyExactly these options selected
Collaborator Filters
OperatorDescription
multiple_collaborators_hasHas collaborator
multiple_collaborators_has_notDoes not have collaborator
File Filters
OperatorDescription
filename_containsFile name contains
has_file_typeHas file of type (image, document)
files_lower_thanNumber of files less than
Empty/Not Empty Filters
OperatorDescription
emptyField is empty (value: true)
not_emptyField is not empty (value: true)
User Filters
OperatorDescription
user_isUser field equals user ID
user_is_notUser field does not equal user ID

Filter Examples

Text contains:

GET /baserow/api/database/rows/table/{table_id}/?user_field_names=true&filter__Name__contains=John

Date within last 7 days:

GET /baserow/api/database/rows/table/{table_id}/?user_field_names=true&filter__Created__date_within_days=7

Multiple filters (AND):

GET /baserow/api/database/rows/table/{table_id}/?user_field_names=true&filter__Status__single_select_equal=1&filter__Priority__higher_than=3

Multiple filters (OR):

GET /baserow/api/database/rows/table/{table_id}/?user_field_names=true&filter_type=OR&filter__Status__equal=Active&filter__Status__equal=Pending

Sorting

Use order_by parameter:

# Sort ascending by field name
GET /baserow/api/database/rows/table/{table_id}/?user_field_names=true&order_by=Assignee+Name

# Sort descending (prefix with -)
GET /baserow/api/database/rows/table/{table_id}/?user_field_names=true&order_by=-Assignee+Name

Pagination

Use size and page parameters:

GET /baserow/api/database/rows/table/{table_id}/?size=25&page=2

Response includes next and previous URLs:

{
  "count": 100,
  "next": "http://api.baserow.io/api/database/rows/table/123/?page=3&size=25",
  "previous": "http://api.baserow.io/api/database/rows/table/123/?page=1&size=25",
  "results": [...]
}

Code Examples

JavaScript

// List rows with user field names
const response = await fetch(
  'https://api.maton.ai/baserow/api/database/rows/table/863922/?user_field_names=true',
  {
    headers: {
      'Authorization': `Bearer ${process.env.MATON_API_KEY}`
    }
  }
);
const data = await response.json();
console.log(data.results);

Python

import os
import requests

# Create a row
response = requests.post(
    'https://api.maton.ai/baserow/api/database/rows/table/863922/?user_field_names=true',
    headers={
        'Authorization': f'Bearer {os.environ["MATON_API_KEY"]}',
        'Content-Type': 'application/json'
    },
    json={
        'Assignee Name': 'New User',
        'Email': 'newuser@example.com'
    }
)
row = response.json()
print(f"Created row ID: {row['id']}")

Notes

  • Connection uses API_KEY authentication (database token), not OAuth
  • By default, fields are returned as field_{id} format; use user_field_names=true for human-readable names
  • Row IDs are integers (not strings like Airtable's recXXX format)
  • Table IDs can be found in the Baserow UI URL or API documentation
  • Database tokens grant access only to database row endpoints, not admin endpoints
  • Cloud version has a limit of 10 concurrent API requests

Error Handling

StatusNameDescription
200OkRequest completed successfully
204No ContentSuccess (for DELETE operations)
400Bad RequestThe request contains invalid values or the JSON could not be parsed
401UnauthorizedInvalid or missing database token
404Not FoundRow or table not found
413Request Entity Too LargeThe request exceeded the maximum allowed payload size
429Too Many RequestsRate limited (10 concurrent requests on cloud)
500Internal Server ErrorThe server encountered an unexpected condition
502Bad GatewayBaserow is restarting or an unexpected outage is in progress
503Service UnavailableThe server could not process your request in time

Troubleshooting: API Key Issues

  1. Check that the MATON_API_KEY environment variable is set:
echo $MATON_API_KEY
  1. Verify the API key is valid by listing connections:
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Troubleshooting: Invalid App Name

Ensure your URL path starts with baserow. For example:

  • Correct: https://api.maton.ai/baserow/api/database/rows/table/{table_id}/
  • Incorrect: https://api.maton.ai/api/database/rows/table/{table_id}/

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