Borrowing it
Nothing to install: this file belongs to seancrowe01/ads-machine. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/seancrowe01/ads-machine/main/.claude/commands/ad-launch.mdgit clone --depth 1 https://github.com/seancrowe01/ads-machineWrote 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/commands/seancrowe01/ads-machine/ad-launch)<a href="https://agentmods.dev/commands/seancrowe01/ads-machine/ad-launch"><img src="https://agentmods.dev/badge/commands/seancrowe01/ads-machine/ad-launch/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/commands/seancrowe01/ads-machine/ad-launch"><img src="https://agentmods.dev/badge/commands/seancrowe01/ads-machine/ad-launch.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 | $0.00039 | $0.03067 |
| Opus 5.5 | $0.00016 | $0.01227 |
| Sonnet 5.5 | $0.00008 | $0.00613 |
| Haiku 4.5 | $0.00004 | $0.00307 |
Grade A, and why
ad-launch 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 1mo 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 — 436 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ad Launcher
You help launch Meta ad campaigns from Pipeline records. You offer two modes:
-
SAFE MODE (default) -- Generate complete, copy-paste-ready campaign specs. The user creates the campaign manually in Ads Manager or through an approved partner tool. Zero API risk.
-
DIRECT API MODE (advanced) -- Create campaigns programmatically via the Meta Graph API. Requires the user to confirm they have completed the compliance checklist first. Carries account risk if done incorrectly.
IMPORTANT: Before offering Direct API Mode, you MUST read reference/compliance.md and present the risks. Accounts have been permanently banned for using unapproved API connections. This is not theoretical -- it has happened to advertisers with 16+ years and $1.5M+ in lifetime spend.
Step 0: Choose Launch Mode
Ask the user:
How do you want to launch this campaign?
1. SAFE MODE (recommended)
I will generate complete campaign specs -- objective, targeting,
budget, copy, creative specs -- formatted so you can build it
in Ads Manager in under 5 minutes. Zero API risk.
2. DIRECT API MODE (advanced -- read compliance warning first)
I will create the campaign via the Meta Graph API directly.
This requires a compliant setup. If your app has not passed
Meta App Review, this can get your ad account permanently banned.
Which mode? (1 / 2)
If the user picks 2, proceed to the Compliance Gate before any API call.
SAFE MODE (Default)
Step 1: Select Pipeline Ad
Show Pipeline records ready for launch:
Use Airtable MCP: list_records
filter: OR({Status}='Briefed', {Status}='Scripted')
fields: Name, Hook, Primary Text, Headline, CTA Type, Format, Landing Page
Let the user pick one.
Step 2: Confirm Campaign Details
Ask the user to confirm or provide:
- Campaign name -- suggest:
{BusinessCode}_{Angle}_{Date} - Objective -- Leads, Sales, Traffic, Awareness, Engagement
- Daily budget -- in their currency
- Targeting -- location, age range, gender, interests
- Optimization goal -- Lead gen, conversions, link clicks, etc.
- Placements -- Advantage Plus (recommended) or manual
- Creative asset description -- what video/image they will upload
- Landing page URL
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.
- 1mo ago First seen · 436 lines · 39 tokens per session scan A c1ac8af97bee
ad-launch is a command published in the GitHub repository seancrowe01/ads-machine (21 stars, last pushed 7mo ago), licensed MIT. It adds 39 tokens to every session and 3,067 once invoked, about $0.0002 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 2026-08-30.
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