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 brainbytes-dev/everything-claude-marketing --skill budget-allocationgit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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/brainbytes-dev/everything-claude-marketing/budget-allocation)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/budget-allocation"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/budget-allocation/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/brainbytes-dev/everything-claude-marketing/budget-allocation"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/budget-allocation.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 | $0.00027 | $0.03652 |
| Opus 5.5 | $0.00011 | $0.01461 |
| Sonnet 5.5 | $0.00005 | $0.00730 |
| Haiku 4.5 | $0.00003 | $0.00365 |
Grade A, and why
budget-allocation 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 2mo 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 — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Budget Allocation
When to Activate
Use this skill when:
- Planning annual, quarterly, or monthly marketing budgets
- Allocating spend across channels (paid search, social, email, content, etc.)
- Deciding how to split budget between brand and performance
- Optimizing existing budget allocation based on performance data
- Justifying budget requests with frameworks and data
- Evaluating channel ROI and making reallocation decisions
- Planning testing budgets for new channels or campaigns
First Questions
Before allocating budget, clarify:
- What is the total marketing budget? (Monthly and annual)
- What are the business goals? (Revenue target, lead target, growth rate)
- What is the target CPA or ROAS by channel?
- What is the current channel mix and performance? (Historical data)
- What is the business model? (E-commerce, SaaS, services, marketplace)
- What is the customer lifetime value (LTV)? (Determines allowable acquisition cost)
- Is this a growth phase, optimization phase, or maintenance phase?
- Are there seasonal patterns that affect demand?
- What new channels or campaigns need testing?
Core Rules
- Budget follows strategy, not the other way around. Define what you're trying to achieve, then fund it.
- Never allocate 100% to proven channels. Always reserve 10-20% for testing new opportunities.
- Measure by contribution margin, not just CPA. A channel with a higher CPA but higher LTV customers may be more valuable.
- Incremental returns diminish. Doubling budget rarely doubles results. Understand the point of diminishing returns for each channel.
- Reallocation is a monthly exercise. Set the budget quarterly, but adjust allocations monthly based on performance.
- Brand investment compounds. Performance investment is linear. You need both.
- The best channel to invest more in is the one producing the best marginal return right now.
- Don't spread budget too thin. Better to dominate 2-3 channels than be mediocre on 7.
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.
- 2mo ago First seen · 337 lines · 27 tokens per session scan A 0d3858edb014
budget-allocation is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 27 tokens to every session and 3,652 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 2026-09-03.
budget-allocation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| budget-allocationbrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 27 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |