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/budget-allocation-plannergit 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/budget-allocation-planner)<a href="https://agentmods.dev/commands/ad-superpowers/ad-superpowers-plugin/budget-allocation-planner"><img src="https://agentmods.dev/badge/commands/ad-superpowers/ad-superpowers-plugin/budget-allocation-planner.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 | $0.00067 | $0.01754 |
| Opus 5 | $0.00034 | $0.00877 |
| Sonnet 5 | $0.00013 | $0.00351 |
| Haiku 4.5 | $0.00007 | $0.00175 |
Grade A, and why
budget-allocation-planner 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 5d 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Platforms: meta, google_ads, linkedin, tiktok, google_analytics Tier: pro
This command requires the Ad Superpowers MCP connector to access your ad account data. Connect at https://app.adsuperpowers.ai if you haven't already.
Strategic Budget Planning & Scenario Modeling
Develop a budget allocation plan for [specify company_name] ([specify industry]) with three-scenario analysis.
Planning Period: Q1 2026 Total Budget: EUR30,000 Objective: growth
Conditional: if historical_roas Historical ROAS: [specify historical_roas]x
Conditional: if target_cpa Target CPA: EUR[specify target_cpa]
OUTPUT FORMAT (CRITICAL - follow this EXACT structure)
EXECUTIVE SUMMARY
Recommended Scenario: [Conservative/Realistic/Aggressive]
SCENARIO COMPARISON
| Metric | Conservative (70%) | Realistic (100%) | Aggressive (130%) |
|---|---|---|---|
| Quarterly Budget | [amount] | [amount] | [amount] |
| Expected ROAS | X.Xx | X.Xx | X.Xx |
| Expected Conversions | XXX | XXX | XXX |
| Market Share Impact | +X% | +X% | +X% |
| Risk Level | Low | Medium | High |
| Confidence | 85% | 70% | 55% |
RECOMMENDED CHANNEL ALLOCATION (selected scenario)
| Channel | % | Monthly Budget | Role | Target KPI |
|---|---|---|---|---|
| [Channel] | XX% | [amount] | [Conversion/Prospecting/Awareness] | [CPA/ROAS] |
| Total | 100% | [amount] | - | Blended: [metric] |
MONTHLY PHASING
| Month | Total | Meta | Other | Focus | |
|---|---|---|---|---|---|
| M1 (30%) | [amount] | [amount] | [amount] | [amount] | Testing & baseline |
| M2 (35%) | [amount] | [amount] | [amount] | [amount] | Optimize & scale |
| M3 (35%) | [amount] | [amount] | [amount] | [amount] | Full scale |
REALLOCATION TRIGGERS
| Trigger | Action |
|---|---|
| ROAS > 150% target for 2 weeks | +20% to that channel from underperformers |
| ROAS < 50% target for 2 weeks | -30% from that channel, redistribute |
| Seasonal peak approaching | +20-30% overall during peak |
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.
- 5d ago First seen · 127 lines · 67 tokens per session scan A 25b4ab0006b2
budget-allocation-planner is a command published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 7d ago), licensed MIT. It adds 67 tokens to every session and 1,754 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 2026-08-31.
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auth-logout
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ad-brief
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ad-polish
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