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-chatgpt-adsgit 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-chatgpt-ads)<a href="https://agentmods.dev/skills/amekala/ads-mcp/adspirer-chatgpt-ads"><img src="https://agentmods.dev/badge/skills/amekala/ads-mcp/adspirer-chatgpt-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/amekala/ads-mcp/adspirer-chatgpt-ads"><img src="https://agentmods.dev/badge/skills/amekala/ads-mcp/adspirer-chatgpt-ads.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 | $0.00065 | $0.00622 |
| Opus 5 | $0.00032 | $0.00311 |
| Sonnet 5 | $0.00013 | $0.00124 |
| Haiku 4.5 | $0.00006 | $0.00062 |
Grade A, and why
adspirer-chatgpt-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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ChatGPT Ads (OpenAI Ads)
Ads that appear inside ChatGPT responses. Everything goes through the chatgpt_ads router. Follow
adspirer-mcp for the two-step.
Account parameter: account_id, as a string. list_chatgpt_accounts enumerates them.
Budgets are in dollars — $50/day is 50.0.
Launching
launch_chatgpt_ad does the whole thing in one call: campaign, ad group, creative upload, and a
chat-card ad. Use it when the user hands you a headline, body, image, and destination.
Use the granular path — create_chatgpt_campaign → create_chatgpt_ad_group →
upload_chatgpt_creative → create_chatgpt_ad — when they want to review each level, or when
you're adding to a campaign that already exists.
Either way the campaign is created paused. Nothing serves and nothing spends until it is resumed.
Locations
Don't pass a place name. chatgpt_geo_lookup resolves "United States" or "Greater London" to the
location ids OpenAI expects.
Archiving is not pausing
archive_chatgpt_campaign is irreversible. pause_chatgpt_campaign is not. When the user says
"stop this campaign," they nearly always mean pause. Confirm explicitly before archiving anything,
and name what will be lost.
Pause and resume exist at all three levels — campaign, ad group, and ad. Pause the narrowest thing that solves the problem.
Creative
A chat card is a headline, a body, an image, and a destination URL. It is read inline in a conversation, so the copy has to earn attention without a scroll: lead with the offer, keep the body concrete, and make the destination match the promise. This is not the place for a slogan.
Conversions
set_chatgpt_conversions_config wires conversion tracking; list_chatgpt_conversion_events shows
what's firing and test_chatgpt_conversion proves it end-to-end before the user trusts the numbers.
Optimizing toward conversions that were never verified is how budgets get wasted quietly.
Reading performance
Through the router: {"action": "execute", "tool_name": "get_chatgpt_performance", ...}.
get_chatgpt_insights adds the qualitative breakdown.
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 · 58 lines · 65 tokens per session scan A 16a1833f9b07
adspirer-chatgpt-ads is a skill published in the GitHub repository amekala/ads-mcp (90 stars, last pushed 5d ago), licensed MIT. It adds 65 tokens to every session and 622 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.
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