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-optimizegit 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-optimize)<a href="https://agentmods.dev/skills/amekala/ads-mcp/adspirer-optimize"><img src="https://agentmods.dev/badge/skills/amekala/ads-mcp/adspirer-optimize/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-optimize"><img src="https://agentmods.dev/badge/skills/amekala/ads-mcp/adspirer-optimize.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 | $0.00061 | $0.01250 |
| Opus 5 | $0.00030 | $0.00625 |
| Sonnet 5 | $0.00012 | $0.00250 |
| Haiku 4.5 | $0.00006 | $0.00125 |
Grade A, and why
adspirer-optimize 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 10d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cutting waste and pacing budget
Follow adspirer-mcp before any tool call. Load the platform skill for field rules. This skill
proposes changes and applies them only after the user agrees to that specific change.
Find the waste
| Platform | Tool (through its router unless noted) |
|---|---|
analyze_wasted_spend, then analyze_search_terms |
|
| Meta | analyze_meta_wasted_spend |
| TikTok | analyze_tiktok_wasted_spend |
analyze_linkedin_wasted_spend |
|
| Amazon | analyze_amazon_wasted_spend, then get_amazon_search_terms |
Waste has a few shapes and they need different fixes:
- Spend with zero conversions. The obvious one. But check the volume first — an ad group with $40 spend and no conversions may simply not have had a chance yet at a $60 CPA.
- Spend converting far above target. Worse than zero, because it looks like it's working.
- Search terms you never intended to buy. On Google and Amazon this is where the money leaks: broad match matching "free", "jobs", "diy", a competitor's brand, or a wildly adjacent product.
- Placements and audiences that never convert. Display and TikTok especially.
Before you cut anything
Check the tracking first. Run audit_conversion_tracking. A campaign that looks like it
converts nothing very often converts fine and reports nothing. Pausing it would destroy a working
campaign — this mistake is common and expensive.
Check the volume. Ten clicks and no conversions is not evidence. Roughly, you want at least 3× the target CPA in spend, or ~100 clicks, before you call something a loser.
Check the assist. The campaign with no last-click conversions may be the one introducing people to the brand. Look at view-through and assisted conversions before killing an upper-funnel campaign.
Fix it, in this order
- Negatives before pauses. Adding negative keywords is precise, reversible, and keeps the
campaign learning.
add_negative_keywords(Google), the equivalent on Amazon. Pausing a whole ad group to stop one bad search term is a blunt instrument. - Exclude placements and audiences that spend without converting.
- Pause the ad, ad group, or campaign — the narrowest thing that solves the problem.
- Reallocate what you freed up.
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.
- 10d ago First seen · 109 lines · 61 tokens per session scan A ab7e22a15cf4
adspirer-optimize is a skill published in the GitHub repository amekala/ads-mcp (89 stars, last pushed 3d ago), licensed MIT. It adds 61 tokens to every session and 1,250 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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