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 itallstartedwithaidea/agent-skills --skill budget-optimizationgit clone --depth 1 https://github.com/itallstartedwithaidea/agent-skillsWrote 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/itallstartedwithaidea/agent-skills/budget-optimization)<a href="https://agentmods.dev/skills/itallstartedwithaidea/agent-skills/budget-optimization"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/budget-optimization/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/itallstartedwithaidea/agent-skills/budget-optimization"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/budget-optimization.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 | $0.00025 | $0.01933 |
| Opus 5.5 | $0.00010 | $0.00773 |
| Sonnet 5.5 | $0.00005 | $0.00387 |
| Haiku 4.5 | $0.00003 | $0.00193 |
Grade A, and why
budget-optimization 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 — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Budget Optimization
Part of Agent Skills™ by googleadsagent.ai™
Description
The Budget Optimization skill applies AI-driven forecasting and portfolio theory to allocate advertising budgets across campaigns for maximum return. Rather than treating each campaign as an isolated budget silo, this skill models the entire account as an investment portfolio, dynamically shifting spend toward campaigns with the highest marginal return on ad spend (ROAS) while respecting business constraints like minimum brand presence and geographic coverage.
The optimization engine ingests historical performance data, seasonality patterns, competitive dynamics, and conversion lag curves to build predictive models for each campaign's response to budget changes. It identifies campaigns that are impression-share-limited (underfunded relative to demand), campaigns with diminishing returns (overfunded past the efficient frontier), and campaigns where budget shifts would yield measurable incremental conversions.
Portfolio bidding strategies are a key lever. The skill evaluates whether campaigns should use individual or shared budgets, whether portfolio bid strategies can aggregate conversion signals across thin-data campaigns, and how seasonal budget adjustments should be timed relative to demand curves. It produces actionable budget reallocation plans with expected impact projections and confidence intervals.
Use When
- User asks to "optimize my budget" or "allocate budget better"
- User mentions "budget pacing" or "campaigns running out of budget"
- User wants to know "where to increase spend" or "where to cut budget"
- User asks about "shared budgets" or "portfolio bidding"
- User mentions "ROAS optimization" or "maximize conversions within budget"
- User asks about "seasonal budget adjustments" or "budget planning"
- User wants to "reduce wasted spend" or "improve budget efficiency"
- User mentions "impression share lost to budget"
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 · 208 lines · 25 tokens per session scan A 934d406429d3
budget-optimization is a skill published in the GitHub repository itallstartedwithaidea/agent-skills (44 stars, last pushed 6mo ago), licensed MIT. It adds 25 tokens to every session and 1,933 once invoked, about $0.0001 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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