Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add claude-office-skills/skills --skill facebook-adsgit clone --depth 1 https://github.com/claude-office-skills/skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/claude-office-skills/skills/facebook-ads)<a href="https://agentmods.dev/skills/claude-office-skills/skills/facebook-ads"><img src="https://agentmods.dev/badge/skills/claude-office-skills/skills/facebook-ads/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/claude-office-skills/skills/facebook-ads"><img src="https://agentmods.dev/badge/skills/claude-office-skills/skills/facebook-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00019 | $0.02644 |
| Opus 5 | $0.00010 | $0.01322 |
| Sonnet 5 | $0.00004 | $0.00529 |
| Haiku 4.5 | $0.00002 | $0.00264 |
Grade A, and why
Facebook/Meta Ads scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 457 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Facebook/Meta Ads
Comprehensive skill for automating Facebook and Instagram advertising.
Core Workflows
1. Campaign Structure
META ADS HIERARCHY:
┌─────────────────────────────────────────────────────────┐
│ 🎯 CAMPAIGN (Objective) │
│ Goal: Conversions, Traffic, Awareness, etc. │
├─────────────────────────────────────────────────────────┤
│ ├── 📊 AD SET 1 (Audience + Budget) │
│ │ ├── Audience: Lookalike 1% │
│ │ ├── Budget: $50/day │
│ │ ├── Placement: Feed + Stories │
│ │ │ │
│ │ ├── 📝 Ad 1: Image + Copy A │
│ │ ├── 📝 Ad 2: Video + Copy A │
│ │ └── 📝 Ad 3: Carousel + Copy B │
│ │ │
│ └── 📊 AD SET 2 (Different Audience) │
│ ├── Audience: Interest Targeting │
│ ├── Budget: $30/day │
│ │ │
│ ├── 📝 Ad 4: Image + Copy A │
│ └── 📝 Ad 5: Video + Copy B │
└─────────────────────────────────────────────────────────┘
2. Campaign Objectives
campaign_objectives:
awareness:
- brand_awareness
- reach
consideration:
- traffic
- engagement
- app_installs
- video_views
- lead_generation
- messages
conversion:
- conversions
- catalog_sales
- store_traffic
Audience Targeting
Custom Audiences
custom_audiences:
website_visitors:
source: pixel
rules:
- event: ViewContent
retention_days: 30
email_list:
source: customer_file
file: "customers.csv"
mapping:
- email
- phone
- first_name
- last_name
video_viewers:
source: engagement
video_id: "123456"
watched_percentage: 75
retention_days: 365
page_engagers:
source: page
actions:
- liked_page
- commented
- shared
retention_days: 90
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 457 lines · 19 tokens per session scan A 8b421c7e0be5
Facebook/Meta Ads is a skill published in the GitHub repository claude-office-skills/skills (465 stars, last pushed 7mo ago), licensed MIT. It adds 19 tokens to every session and 2,644 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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