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 swan-gtm/gtm-skills --skill ads-budget-allocationgit clone --depth 1 https://github.com/swan-gtm/gtm-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/swan-gtm/gtm-skills/ads-budget-allocation)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/ads-budget-allocation"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/ads-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/swan-gtm/gtm-skills/ads-budget-allocation"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/ads-budget-allocation.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 | $0.00032 | $0.00473 |
| Opus 5.5 | $0.00013 | $0.00189 |
| Sonnet 5.5 | $0.00006 | $0.00095 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
ads-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 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.
What it actually says
Budget Allocation by Stage
Strategic Mindset
Strategy is a series of strategic bets. Work from bottom of the 5-Stage Demand Engine up for quickest ROI (Expand --> Create).
Stage Investment Characteristics
| Stage | Budget Required (Audience Size) | Estimated ROI Timeline | Estimated Difficulty |
|---|---|---|---|
| Create | High | > 90 days | High - requires strong content strategy and unique POV |
| Capture | Moderate | < 45 days | High - usually stiff competition & expensive costs |
| Accelerate/Activate | Low | Varies based on sales cycle | Low - familiar with your product and considering it |
| Revive | Low | < 45 days | Low - familiar with your brand and expressed interest in the past |
| Expand | Low | < 60 days | Medium - existing customers, hard to scale due to small audience sizes |
Fictional Examples
Product Hero (Product-Led Startup)
- Early stage, Series A, large TAM, $30k/month budget
- Focus: Create & Capture (scale net-new and brand)
- Allocation: $15,000 Create (Problem Aware) + $10,000 Capture (Solution Aware) + $5,000 Capture (Product Aware)
Sales Hero (Sales-Led Startup)
- Growth stage, Series C, small TAM, $30k/month budget
- Focus: Create, Capture & Accelerate (ABM, penetrate top 50 accounts)
- Allocation: $20,000 Create (Problem Aware) + $5,000 Capture (Product Aware) + $5,000 Accelerate (Offer Aware)
Key Insight: Product-led companies typically spread budget across Create and Capture. Sales-led companies with small TAM should invest more heavily in Create (brand/thought leadership) and Accelerate (helping sales close deals).
Important Notes
Budget will change over time - these are starting points. As your data improves and you understand what's working, you'll adjust allocations based on performance and business priorities.
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 · 43 lines · 32 tokens per session scan A be7df607cb68
ads-budget-allocation is a skill published in the GitHub repository swan-gtm/gtm-skills (221 stars, last pushed 8d ago), licensed MIT. It adds 32 tokens to every session and 473 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.
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