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Agent Skill · 开发

toggl-track(切换轨道)

toggl-track 用于辅助安全审计、权限检查和凭据风险排查,适合在 OpenClaw 中需要复核安全边界、认证流程或敏感配置时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

toggl-track 是开发类 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,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 2,240。

总安装 19,192周安装 784GitHub Stars 公开资料未说明下载 6,209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:toggl-track(切换轨道)
来源仓库:https://github.com/byungkyu/toggl-track
安装命令:
openclaw skills install toggl-track
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 toggl-track

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

通过具有 OAuth 身份验证和 CRUD 操作的 API 管理 Toggl 跟踪时间条目、项目、客户端、标签和工作区。

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 toggl-track;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

toggl-track 怎么安装?

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

toggl-track 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。

toggl-track 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。

toggl-track 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。

toggl-track 用的人多吗?

公开数据是累计安装 19,192 次,近一周安装 784 次,下载 6,209 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。

toggl-track 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
toggl-track

切换轨道 · 本页

19,192—接触敏感数据MIT-0通过

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

Toggl Track

Access the Toggl Track API with managed OAuth authentication. Track time, manage projects, clients, tags, and workspaces.

Quick Start

# Get current user info
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/toggl-track/api/v9/me')
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/toggl-track/{native-api-path}

Maton proxies requests to api.track.toggl.com and automatically injects your credentials.

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 Toggl Track OAuth 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=toggl-track&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': 'toggl-track'}).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": "2026-02-13T19:31:31.452264Z",
    "last_updated_time": "2026-02-13T19:36:10.489069Z",
    "url": "https://connect.maton.ai/?session_token=...",
    "app": "toggl-track",
    "metadata": {}
  }
}

Open the returned url in a browser to complete OAuth authorization.

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 Toggl Track 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/toggl-track/api/v9/me')
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 time entries, projects, clients, workspaces, and tags within the connected Toggl Track 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

User & Workspace

Get Current User
GET /toggl-track/api/v9/me

Response:

{
  "id": 12932942,
  "email": "user@example.com",
  "fullname": "John Doe",
  "timezone": "America/Los_Angeles",
  "default_workspace_id": 21180405,
  "beginning_of_week": 1,
  "image_url": "https://assets.track.toggl.com/images/profile.png"
}
List Workspaces
GET /toggl-track/api/v9/me/workspaces
Get Workspace
GET /toggl-track/api/v9/workspaces/{workspace_id}
List Workspace Users
GET /toggl-track/api/v9/workspaces/{workspace_id}/users

Time Entries

List Time Entries
GET /toggl-track/api/v9/me/time_entries

Query Parameters:

  • since (integer) - UNIX timestamp for entries modified after this time
  • before (string) - Get entries before this date (RFC3339 or YYYY-MM-DD)
  • start_date (string) - Filter start date (YYYY-MM-DD)
  • end_date (string) - Filter end date (YYYY-MM-DD)
Get Current (Running) Time Entry
GET /toggl-track/api/v9/me/time_entries/current

Returns null if no time entry is currently running.

Get Time Entry by ID
GET /toggl-track/api/v9/me/time_entries/{time_entry_id}
Create Time Entry
POST /toggl-track/api/v9/workspaces/{workspace_id}/time_entries
Content-Type: application/json

{
  "description": "Working on project",
  "start": "2026-02-13T10:00:00Z",
  "duration": -1,
  "workspace_id": 21180405,
  "project_id": 216896134,
  "tag_ids": [20053808],
  "created_with": "maton-api"
}

Note: Set duration to -1 to start a running timer. The created_with field is required.

Response:

{
  "id": 4290254971,
  "workspace_id": 21180405,
  "project_id": null,
  "task_id": null,
  "billable": false,
  "start": "2026-02-13T19:58:43Z",
  "stop": null,
  "duration": -1,
  "description": "Working on project",
  "tags": null,
  "tag_ids": null,
  "user_id": 12932942
}
Update Time Entry
PUT /toggl-track/api/v9/workspaces/{workspace_id}/time_entries/{time_entry_id}
Content-Type: application/json

{
  "description": "Updated description",
  "project_id": 216896134
}
Stop Running Time Entry
PATCH /toggl-track/api/v9/workspaces/{workspace_id}/time_entries/{time_entry_id}/stop
Delete Time Entry
DELETE /toggl-track/api/v9/workspaces/{workspace_id}/time_entries/{time_entry_id}

Projects

List Projects
GET /toggl-track/api/v9/workspaces/{workspace_id}/projects

Query Parameters:

  • active (boolean) - Filter by active status
  • since (integer) - UNIX timestamp for modification filter
  • name (string) - Filter by project name
  • page (integer) - Page number
  • per_page (integer) - Items per page (max 200)
Get Project
GET /toggl-track/api/v9/workspaces/{workspace_id}/projects/{project_id}
Create Project
POST /toggl-track/api/v9/workspaces/{workspace_id}/projects
Content-Type: application/json

{
  "name": "New Project",
  "active": true,
  "is_private": true,
  "client_id": 68493239,
  "color": "#0b83d9",
  "billable": true
}

Response:

{
  "id": 216896134,
  "workspace_id": 21180405,
  "client_id": null,
  "name": "New Project",
  "is_private": true,
  "active": true,
  "color": "#0b83d9",
  "billable": true,
  "created_at": "2026-02-13T19:58:36+00:00"
}
Update Project
PUT /toggl-track/api/v9/workspaces/{workspace_id}/projects/{project_id}
Content-Type: application/json

{
  "name": "Updated Project Name",
  "color": "#ff0000"
}
Delete Project
DELETE /toggl-track/api/v9/workspaces/{workspace_id}/projects/{project_id}

Clients

List Clients
GET /toggl-track/api/v9/workspaces/{workspace_id}/clients

Query Parameters:

  • status (string) - Filter: active, archived, or both
  • name (string) - Case-insensitive name filter
Get Client
GET /toggl-track/api/v9/workspaces/{workspace_id}/clients/{client_id}
Create Client
POST /toggl-track/api/v9/workspaces/{workspace_id}/clients
Content-Type: application/json

{
  "name": "New Client",
  "notes": "Client notes here"
}

Response:

{
  "id": 68493239,
  "wid": 21180405,
  "archived": false,
  "name": "New Client",
  "at": "2026-02-13T19:58:36+00:00",
  "creator_id": 12932942
}
Update Client
PUT /toggl-track/api/v9/workspaces/{workspace_id}/clients/{client_id}
Content-Type: application/json

{
  "name": "Updated Client Name"
}
Delete Client
DELETE /toggl-track/api/v9/workspaces/{workspace_id}/clients/{client_id}
Archive Client
POST /toggl-track/api/v9/workspaces/{workspace_id}/clients/{client_id}/archive
Restore Client
POST /toggl-track/api/v9/workspaces/{workspace_id}/clients/{client_id}/restore
Content-Type: application/json

{
  "restore_all_projects": true
}

Tags

List Tags
GET /toggl-track/api/v9/workspaces/{workspace_id}/tags

Query Parameters:

  • page (integer) - Page number
  • per_page (integer) - Items per page
Create Tag
POST /toggl-track/api/v9/workspaces/{workspace_id}/tags
Content-Type: application/json

{
  "name": "New Tag"
}

Response:

{
  "id": 20053808,
  "workspace_id": 21180405,
  "name": "New Tag",
  "at": "2026-02-13T19:58:37.115714Z",
  "creator_id": 12932942
}
Update Tag
PUT /toggl-track/api/v9/workspaces/{workspace_id}/tags/{tag_id}
Content-Type: application/json

{
  "name": "Updated Tag Name"
}
Delete Tag
DELETE /toggl-track/api/v9/workspaces/{workspace_id}/tags/{tag_id}

Pagination

Toggl Track uses page-based pagination for most list endpoints:

GET /toggl-track/api/v9/workspaces/{workspace_id}/projects?page=1&per_page=50

For time entries, use timestamp-based filtering:

GET /toggl-track/api/v9/me/time_entries?since=1707840000&start_date=2026-02-01&end_date=2026-02-28

Code Examples

JavaScript

const response = await fetch(
  'https://api.maton.ai/toggl-track/api/v9/me/time_entries',
  {
    headers: {
      'Authorization': `Bearer ${process.env.MATON_API_KEY}`
    }
  }
);
const timeEntries = await response.json();

Python

import os
import requests

response = requests.get(
    'https://api.maton.ai/toggl-track/api/v9/me/time_entries',
    headers={'Authorization': f'Bearer {os.environ["MATON_API_KEY"]}'}
)
time_entries = response.json()

Start a Timer

import os
import requests
from datetime import datetime, timezone

response = requests.post(
    'https://api.maton.ai/toggl-track/api/v9/workspaces/21180405/time_entries',
    headers={
        'Authorization': f'Bearer {os.environ["MATON_API_KEY"]}',
        'Content-Type': 'application/json'
    },
    json={
        'description': 'Working on task',
        'start': datetime.now(timezone.utc).strftime('%Y-%m-%dT%H:%M:%SZ'),
        'duration': -1,
        'workspace_id': 21180405,
        'created_with': 'maton-api'
    }
)

Notes

  • Workspace IDs are integers (e.g., 21180405)
  • Time entry IDs are large integers (e.g., 4290254971)
  • Duration is in seconds; use -1 for running timers
  • Timestamps use ISO 8601 format (e.g., 2026-02-13T19:58:43Z)
  • The created_with field is required when creating time entries
  • IMPORTANT: When using curl commands, use curl -g when URLs contain brackets to disable glob parsing
  • IMPORTANT: When piping curl output to jq or other commands, environment variables like $MATON_API_KEY may not expand correctly in some shell environments

Error Handling

StatusMeaning
400Missing Toggl Track connection or invalid request
401Invalid or missing Maton API key
403Access denied
404Resource not found
429Rate limited
4xx/5xxPassthrough error from Toggl Track API

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

  1. Ensure your URL path starts with toggl-track. For example:
  • Correct: https://api.maton.ai/toggl-track/api/v9/me
  • Incorrect: https://api.maton.ai/api/v9/me

Resources

平台分布

OpenClaw

81.25%
按下载量换算5,045

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

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。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills