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supermetrics-openclawdsupermetrics openclawd 搜索

Agent Skill

supermetrics-openclawd 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

总安装

60,144

周安装

2,433

GitHub Stars

3

下载量

18,880
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:supermetrics-openclawd(supermetrics openclawd 搜索)
来源仓库:https://github.com/bartschneider/supermetrics-openclawd
安装命令:
openclaw skills install supermetrics-openclawd
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 supermetrics-openclawd

简介

官方 Supermetrics 技能。从 100 多个平台查询营销数据,包括 Google Analytics、Meta Ads、Google Ads 和 LinkedIn。需要 API 密钥。

SKILL.md

name
supermetrics
description
Official Supermetrics skill. Query marketing data from 100+ platforms including Google Analytics, Meta Ads, Google Ads, and LinkedIn. Requires API key.
version
1.0.1
triggers
author
supermetrics
tags
[marketing, analytics, supermetrics, api, data]
requires
env

Supermetrics Marketing Data

Query marketing data from 100+ platforms including Google Analytics, Meta Ads, Google Ads, and LinkedIn.

Usage

Import the helper module:

from supermetrics import (
    discover_sources,
    discover_accounts,
    discover_fields,
    query_data,
    get_results,
    get_today,
    search,
    health,
)

Functions

discover_sources()

List all available marketing platforms.

result = discover_sources()
for src in result['data']['sources']:
    print(f"{src['id']}: {src['name']}")

discover_accounts(ds_id)

Get connected accounts for a data source.

Common data source IDs:

IDPlatform
FAMeta Ads (Facebook)
AWGoogle Ads
GAWAGoogle Analytics
GA4Google Analytics 4
LILinkedIn Ads
ACMicrosoft Advertising (Bing)
result = discover_accounts("GAWA")
for acc in result['data']['accounts']:
    print(f"{acc['account_id']}: {acc['account_name']}")

discover_fields(ds_id, field_type=None)

Get available metrics and dimensions.

# Get all fields
result = discover_fields("GAWA")

# Get only metrics
result = discover_fields("GAWA", "metric")

# Get only dimensions
result = discover_fields("GAWA", "dimension")

query_data(...)

Execute a marketing data query. Returns schedule_id for async retrieval.

result = query_data(
    ds_id="GAWA",
    ds_accounts="123456789",
    fields=["date", "sessions", "pageviews", "users"],
    date_range_type="last_7_days"
)
schedule_id = result['data']['schedule_id']

Parameters:

  • ds_id (required): Data source ID
  • ds_accounts (required): Account ID(s) from discover_accounts()
  • fields (required): Field ID(s) from discover_fields()
  • date_range_type: last_7_days, last_30_days, last_3_months, custom
  • start_date, end_date: For custom date range (YYYY-MM-DD)
  • filters: Filter expression (e.g., "country == United States")
  • timezone: IANA timezone (e.g., "America/New_York")

Filter operators:

  • ==, != - equals, not equals
  • >, >=, <, <= - comparisons
  • =@, !@ - contains, does not contain
  • =~, !~ - regex match

get_results(schedule_id)

Retrieve query results.

result = get_results(schedule_id)
for row in result['data']['data']:
    print(row)

get_today()

Get current UTC date for date calculations.

result = get_today()
print(result['data']['date'])  # "2026-02-03"

search(query)

Search across Supermetrics resources for guidance and suggestions.

result = search("facebook ads metrics")
print(result['data'])

health()

Check Supermetrics server health status.

result = health()
print(result['data']['status'])  # "healthy"

Workflow Example

from supermetrics import (
    discover_accounts,
    discover_fields,
    query_data,
    get_results,
)

# 1. Find accounts
accounts = discover_accounts("GAWA")
account_id = accounts['data']['accounts'][0]['account_id']

# 2. See available fields
fields = discover_fields("GAWA", "metric")
print([f['id'] for f in fields['data']['metrics'][:5]])

# 3. Query data
query = query_data(
    ds_id="GAWA",
    ds_accounts=account_id,
    fields=["date", "sessions", "users", "pageviews"],
    date_range_type="last_7_days"
)

# 4. Get results
data = get_results(query['data']['schedule_id'])
for row in data['data']['data']:
    print(row)

Response Format

All functions return:

{"success": True, "data": {...}}  # Success
{"success": False, "error": "..."}  # Error

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

72.94%
按下载量换算13,771

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

权限和风险

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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