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meta-ads-control元广告控制

Agent Skill

meta-ads-control 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

9,058

周安装

370

GitHub Stars

公开资料未说明

下载量

2,930
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:meta-ads-control(元广告控制)
来源仓库:https://github.com/tristanmanchester/meta-ads-control
安装命令:
openclaw skills install meta-ads-control
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 meta-ads-control

简介

当用户想要检查、报告、创建、更新、暂停、恢复、预算、目标、上传资产或对 Meta、Facebook 等进行故障排除时,请使用此技能。

SKILL.md

name
meta-ads-control
description
Use this skill when the user wants to inspect, report on, create, update, pause, resume, budget, target, upload assets for, or troubleshoot Meta, Facebook, or Instagram ads via the Marketing API. It covers ad accounts, campaigns, ad sets, ads, creatives, ad images and videos, targeting search, batch reads, and Insights reports. Helpful for requests about Meta Ads Manager, ROAS or CPA reporting, launch workflows, creative rollout, audience setup, delivery issues, budget changes, or bulk ad operations.
license
MIT. See LICENSE.txt
compatibility
Requires Python 3 and outbound HTTPS access to graph.facebook.com. Best with OpenClaw and other AgentSkills-compatible agents. Reads META_ACCESS_TOKEN, META_AD_ACCOUNT_ID, META_API_VERSION, and META_GRAPH_BASE from the environment.
metadata
{"author":"OpenAI","version":"1.0.0","openclaw":{"emoji":"📣","primaryEnv":"META_ACCESS_TOKEN","requires":{"anyBins":["python3","python"]}}}

Meta Ads Control

Use this skill for Meta Marketing API work. Prefer the bundled script because it gives structured JSON output, dry-run protection, retries, pagination, batch support, async Insights jobs, targeting search, and asset upload.

Before you touch spend or delivery

  1. Discover scope.
   python3 scripts/meta_ads.py accounts
   python3 scripts/meta_ads.py account
  1. Confirm the intended ad account, currency, timezone, and writable objects.
  2. For any change that can spend money, change delivery, or alter tracking:

- prepare a short plan, - run --dry-run, - show the exact objects and fields to be changed, - wait for explicit user approval, - then rerun with --confirm.

  1. Default new campaigns, ad sets, and ads to PAUSED unless the user explicitly asks to go live immediately.
  2. After any write, do a read-after-write verification with get, list, or request GET.

Authentication and environment

The script reads:

  • META_ACCESS_TOKEN — required for live API calls
  • META_AD_ACCOUNT_ID — optional default account, with or without act_
  • META_API_VERSION — defaults to v25.0
  • META_GRAPH_BASE — defaults to https://graph.facebook.com

If META_ACCESS_TOKEN is missing, help the user set it up first instead of guessing or fabricating API responses.

OpenClaw users can inject these values through skill config. See OpenClaw notes.

Fast path by task

1) Audit or diagnose an account

Start with the smallest read that answers the question.

python3 scripts/meta_ads.py account --fields id,name,account_status,currency,timezone_name,amount_spent,spend_cap
python3 scripts/meta_ads.py list campaigns --fields id,name,objective,status,effective_status,daily_budget,lifetime_budget
python3 scripts/meta_ads.py list adsets --fields id,name,campaign_id,status,effective_status,daily_budget,lifetime_budget,optimization_goal,bid_strategy
python3 scripts/meta_ads.py list ads --fields id,name,adset_id,campaign_id,status,effective_status,creative

Use batch when you need several small reads at once. Use minimal field sets first.

2) Performance reporting

Use insights. Start with a narrow level and date window. For large windows, many fields, or breakdowns, use --async.

python3 scripts/meta_ads.py insights act_123 --level campaign --date-preset last_7d
python3 scripts/meta_ads.py insights act_123 --level ad --fields ad_id,ad_name,spend,impressions,clicks,ctr,cpc,actions,action_values,purchase_roas --date-preset last_30d --async --fetch-all

If the user asks for conversions or ROAS, include actions and action_values. If the user asks for demographic or placement splits, use --breakdowns. If they ask for action-level splits, include actions and use --action-breakdowns.

3) Pause, resume, or archive objects

Prefer set-status for single-object changes.

python3 scripts/meta_ads.py set-status 120000000000000 PAUSED --dry-run
python3 scripts/meta_ads.py set-status 120000000000000 PAUSED --confirm

For bulk operations, create a JSON batch file and use batch after approval.

4) Create or update campaign structure

Create in order:

  1. campaign
  2. ad set
  3. creative
  4. ad

Use JSON payload files for any nested params. Start from templates in assets/.

python3 scripts/meta_ads.py create campaign --params-file assets/campaign-create.json --dry-run
python3 scripts/meta_ads.py create campaign --params-file work/campaign.json --confirm

python3 scripts/meta_ads.py create adset --params-file work/adset.json --dry-run
python3 scripts/meta_ads.py create adset --params-file work/adset.json --confirm

python3 scripts/meta_ads.py create adcreative --params-file work/adcreative.json --dry-run
python3 scripts/meta_ads.py create adcreative --params-file work/adcreative.json --confirm

python3 scripts/meta_ads.py create ad --params-file work/ad.json --dry-run
python3 scripts/meta_ads.py create ad --params-file work/ad.json --confirm

If assets are local files, upload them first with upload.

5) Targeting discovery

Never invent targeting IDs. Resolve them with targeting search first.

python3 scripts/meta_ads.py targeting-search --type adinterest --q "running"
python3 scripts/meta_ads.py targeting-search --type adgeolocation --q "Munich"

Then place the returned IDs and descriptors into the ad set targeting spec.

6) Unsupported or niche endpoints

Use the low-level request subcommand.

python3 scripts/meta_ads.py request GET /act_123/reachestimate --set targeting_spec=@work/targeting.json
python3 scripts/meta_ads.py request GET /120000000000000/previews --set ad_format=DESKTOP_FEED_STANDARD

For nested values, prefer --params-file or @file.json values over many inline --sets.

Script reference

Main entry point

python3 scripts/meta_ads.py --help

Most useful subcommands

  • accounts — list accessible ad accounts from the token
  • account — read the default or provided account
  • list — list campaigns, adsets, ads, creatives, audiences, assets, pixels, and more
  • get — read a node or node edge
  • create — create campaign, adset, adcreative, ad, customaudience, or any supported account edge
  • update — update a node by ID
  • set-status — convenience wrapper for status
  • insights — sync or async reporting
  • targeting-search — resolve targeting descriptors
  • upload — upload to adimages or advideos
  • batch — send Graph batch requests
  • request — low-level escape hatch for any Graph path

Rules for good agent behaviour

  • Read before write.
  • Use the smallest field set that answers the question.
  • Prefer JSON payload files for nested data.
  • Use --fetch-all only when the user actually needs all pages.
  • Use --async for heavy Insights jobs.
  • Pause on repeated 613 or 80004 rate-limit errors; reduce scope or add time between retries.
  • Prefer PAUSED or ARCHIVED over destructive delete operations.
  • Report money in both raw API units and human units when relevant. Budgets are usually in the smallest currency denomination.
  • When writing budgets, verify account currency and timezone first.
  • After any mutation, verify the live state with a follow-up read.
  • If the request touches housing, employment, credit, social issues, elections, or politics, check API guide for special-category cautions before proceeding.

Examples

Quick 7-day account snapshot

python3 scripts/meta_ads.py batch --batch-file assets/batch-read-example.json
python3 scripts/meta_ads.py insights act_123 --level campaign --date-preset last_7d --fields campaign_id,campaign_name,spend,impressions,clicks,ctr,cpc,actions,action_values,purchase_roas

Increase a budget safely

  1. Inspect the current ad set.
  2. Prepare an update payload with the new budget.
  3. Dry-run it.
  4. Ask for confirmation.
  5. Apply and verify.
python3 scripts/meta_ads.py get 120000000000000 --fields id,name,status,effective_status,daily_budget,lifetime_budget
python3 scripts/meta_ads.py update 120000000000000 --params-file work/adset-budget.json --dry-run
python3 scripts/meta_ads.py update 120000000000000 --params-file work/adset-budget.json --confirm
python3 scripts/meta_ads.py get 120000000000000 --fields id,name,daily_budget,lifetime_budget,updated_time

Upload an image and build a link ad

python3 scripts/meta_ads.py upload adimages --file creative.jpg --confirm
# Put the returned image_hash into work/adcreative.json
python3 scripts/meta_ads.py create adcreative --params-file work/adcreative.json --confirm
python3 scripts/meta_ads.py create ad --params-file work/ad.json --confirm

References

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

96.64%
按下载量换算2,832

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。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。

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