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 agentmods add commands/ad-superpowers/ad-superpowers-plugin/new-client-launchgit clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-pluginWrote 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/ad-superpowers/ad-superpowers-plugin/new-client-launch)<a href="https://agentmods.dev/commands/ad-superpowers/ad-superpowers-plugin/new-client-launch"><img src="https://agentmods.dev/badge/commands/ad-superpowers/ad-superpowers-plugin/new-client-launch.svg" alt="Measured on agentmods" 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 | $0.00016 | $0.00589 |
| Opus 5 | $0.00008 | $0.00295 |
| Sonnet 5 | $0.00003 | $0.00118 |
| Haiku 4.5 | $0.00002 | $0.00059 |
Grade A, and why
new-client-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 3d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
New Client Launch
Guide the user through a complete new client/account onboarding workflow. This is a structured, multi-step process.
Phase 1: Discovery (Gather Information)
Ask the user for:
- Business type: E-commerce, Lead Gen, SaaS, Local Business, or other
- Platforms to use: Which ad platforms are connected? Check with
meta_list_ad_accounts,google_ads_list_accounts,linkedin_list_ad_accounts,tiktok_get_advertiser_info - Monthly budget: Total and per-platform allocation
- Primary KPI: Revenue/ROAS, Leads/CPL, Traffic, Brand Awareness
- Target audience: Who is the ideal customer?
- Current performance: Pull existing data if accounts have history
Phase 2: Tracking Audit
- GTM Check:
gtm_list_containers→gtm_audit— are tracking tags properly configured? - GA4 Check:
ga4_list_properties→ga4_run_report— are events firing correctly? - Platform pixels: Verify Meta Pixel, Google Ads tag, LinkedIn Insight Tag, TikTok Pixel are installed
- Flag issues: List any tracking gaps that need fixing before launch
Phase 3: Competitive & Market Research
- Keyword landscape:
google_ads_run_keyword_plannerfor search volume and competition - Organic position:
gsc_search_analyticsfor existing organic rankings - Existing performance: Pull last 30 days from any active campaigns
Phase 4: Campaign Strategy
Based on discovery, recommend:
- Channel mix with budget per platform
- Campaign structure per platform
- Target audiences per platform
- Creative requirements (formats, messaging themes)
- KPI targets with benchmarks
Phase 5: Launch Checklist
Present a checklist before execution:
- Tracking verified on all platforms
- Audiences created and exclusions set
- Campaign structure approved
- Creatives ready
- Budget confirmed
- Attribution windows configured
- Reporting cadence agreed (weekly/bi-weekly)
Phase 6: 30/60/90 Day Plan
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.
- 3d ago First seen · 59 lines · 16 tokens per session scan A 0339bcc71949
new-client-launch is a command published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 5d ago), licensed MIT. It adds 16 tokens to every session and 589 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 2026-08-31.
Other commands, from other repositories
refresh-brand-context
Re-scan brand docs and update CLAUDE.md with latest info.
feed-audit
Audit Merchant Center feed quality — disapprovals, attributes, identifiers, custom labels.
keywords
Keyword research — for a new search campaign or to expand an existing one, with volumes and CPCs.
campaign
Reklam videosu kampanyası kurar — röportaj yapar, yaratıcı ekiple kurguyu çıkarır, planı onayına sunar ve fal.ai'a import edilecek workflow.json'u üretir.
setup
First-run setup for the ga-mcp-full MCP server — install the CLI if needed, then complete the browser login.
auth-logout
Clear cached Google Analytics OAuth credentials for the ga-mcp-full MCP server.