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 amekala/ads-mcp --skill adspirer-launchgit clone --depth 1 https://github.com/amekala/ads-mcpWrote 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/amekala/ads-mcp/adspirer-launch)<a href="https://agentmods.dev/skills/amekala/ads-mcp/adspirer-launch"><img src="https://agentmods.dev/badge/skills/amekala/ads-mcp/adspirer-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/skills/amekala/ads-mcp/adspirer-launch"><img src="https://agentmods.dev/badge/skills/amekala/ads-mcp/adspirer-launch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00059 | $0.00955 |
| Opus 5 | $0.00030 | $0.00477 |
| Sonnet 5 | $0.00012 | $0.00191 |
| Haiku 4.5 | $0.00006 | $0.00096 |
Grade A, and why
adspirer-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 11d 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Launching a campaign
Follow adspirer-mcp before any tool call. Load the target platform's skill for its field rules —
this skill deliberately stays platform-agnostic.
Before you build anything
Establish four things. If you skip these you will build the wrong campaign competently.
- The objective, in business terms. Leads, sales, calls, installs, awareness. "More traffic" is rarely what anyone actually wants.
- What a conversion is worth. A target CPA or ROAS is meaningless without it. If they don't know, ask what a customer is worth and work backwards.
- The budget, and whether it's real. Daily and monthly. Say the monthly number out loud —
$50/dayis about$1,520/month, and people routinely don't do that multiplication. - Whether conversion tracking works. Run
audit_conversion_tracking. Launching a conversion-optimized campaign on broken tracking wastes the entire budget, silently. This is worth the one call.
Then check what exists: get_connections_status for the accounts, and the platform's list tools for
campaigns already running. Do not build a duplicate of something already there.
Choosing the platform
Let the goal choose, not the fashion.
| Situation | Platform |
|---|---|
| People already search for this | Google Search |
| Visual product, impulse or discovery | Meta, TikTok |
| B2B, targeting by job title or company | |
| Selling a product on Amazon | Amazon |
| Broad goal, good tracking, wants automation | Google Performance Max |
| Winning back site visitors | Meta or Google Display retargeting |
When the budget is small, one platform done properly beats three done thinly. Splitting $30/day across Google, Meta, and TikTok gives all three too little data to learn from. Say this rather than quietly obliging.
If the user insists on several channels, weight toward the one where intent is highest and treat the rest as a test with a stated review date.
Building
Load the platform skill and follow its order. Universally:
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.
- 11d ago First seen · 94 lines · 59 tokens per session scan A 4e182b754099
adspirer-launch is a skill published in the GitHub repository amekala/ads-mcp (89 stars, last pushed 4d ago), licensed MIT. It adds 59 tokens to every session and 955 once invoked, about $0.0003 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.
Other skills, from other repositories
adspirer-ads-agent
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_mureo-strategy
Strategy Context: Manage business strategy files (STRATEGY.md, STATE.json) for strategy-driven ad operations.
daily-check
Run a daily health check on all configured ad accounts (Google Ads, Meta Ads, Amazon Ads, TikTok Ads, Search Console, GA4, and any configured plugin platform). Use when the user asks for a daily review, health check, status update, anomaly detection, or 'how are my campaigns doing today'. Reads STRATEGY.md and…
_mureo-google-ads
Google Ads: Manage campaigns, ad groups, ads, keywords, budgets, and performance analysis.