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 brainbytes-dev/everything-claude-marketing --skill meta-adsgit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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/brainbytes-dev/everything-claude-marketing/meta-ads)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/meta-ads"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/meta-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/brainbytes-dev/everything-claude-marketing/meta-ads"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/meta-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 | $0.00030 | $0.03366 |
| Opus 5.5 | $0.00012 | $0.01346 |
| Sonnet 5.5 | $0.00006 | $0.00673 |
| Haiku 4.5 | $0.00003 | $0.00337 |
Grade A, and why
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 2mo 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 — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meta Ads Strategy
When to Activate
Use this skill when:
- Setting up Facebook or Instagram ad campaigns
- Choosing campaign structures and objectives
- Building audiences (custom, lookalike, interest-based, broad)
- Creating ad creative (image, video, carousel, collection)
- Writing ad copy for Meta platforms
- Scaling campaigns that are performing well
- Troubleshooting underperforming Meta campaigns
First Questions
Before building Meta campaigns, clarify:
- What is the business objective? (Sales, leads, traffic, app installs, awareness)
- What is the monthly ad budget? (Determines audience size and testing capacity)
- What is the target CPA or ROAS?
- Is the Meta Pixel and Conversions API (CAPI) properly configured?
- Who is the target customer? (Demographics, interests, behaviors, pain points)
- What creative assets are available? (Images, videos, UGC, testimonials)
- What is the offer? (Product, lead magnet, free trial, discount, content)
- Is this a new ad account or established? (Matters for audience data and pixel maturity)
Core Rules
- Creative is the new targeting. With audience targeting becoming broader, your ad creative does the targeting. Make creative for specific audiences.
- Pixel and CAPI first. Accurate data = accurate optimization. Set up both server-side and browser-side tracking.
- Test creative, not audiences. In the Advantage+ era, spend 80% of testing budget on creative, 20% on audience variations.
- Broad audiences often beat narrow ones. Meta's AI has gotten better at finding buyers. Let it work with fewer constraints.
- Video outperforms static in most cases. But test — some products and audiences prefer static image or carousel.
- The first 3 seconds of video are everything. If the hook fails, the ad fails.
- Don't judge ads too quickly. Allow at least 3-5 days and 50+ results per ad set before making changes.
- Consolidate campaigns. Fewer campaigns with more budget each outperform many small campaigns with thin budgets.
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.
- 2mo ago First seen · 322 lines · 30 tokens per session scan A 2c1bb24f6398
meta-ads is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 30 tokens to every session and 3,366 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
meta-ads compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| meta-adsbrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 30 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |