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 budget-reallocation-under-cutgit 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/budget-reallocation-under-cut)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/budget-reallocation-under-cut"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/budget-reallocation-under-cut/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/budget-reallocation-under-cut"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/budget-reallocation-under-cut.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 | $0.00077 | $0.00815 |
| Opus 5.5 | $0.00031 | $0.00326 |
| Sonnet 5.5 | $0.00015 | $0.00163 |
| Haiku 4.5 | $0.00008 | $0.00081 |
Grade A, and why
budget-reallocation-under-cut 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 4d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Turn a budget cut into a defensible channel mix decision, in the language a finance leader accepts.
Inputs to load
- Current spend by channel, as a share of total.
- Sourced and influenced pipeline and closed won revenue by channel, as a share of total.
- Size and timing of the cut, sales cycle length, contract value tier, and any regional minimums.
If an input is missing, state the assumption used and lower the confidence of the verdict.
Score each channel
- Share of spend versus share of sourced pipeline.
- Share of spend versus share of closed won revenue. Lead volume hides weak channels.
- Payback speed: inside one quarter, two to three quarters, or longer than the cut window.
Split capture from creation
Demand capture (brand search, retargeting, comparison terms, bottom of funnel content) converts existing intent. Demand creation (broad paid social, awareness, sponsorships) feeds pipeline two to four quarters later. Name which bucket absorbs the cut and what delayed damage follows.
Apply the cut in order
- Cut channels where the share of spend is more than double the share of closed won revenue.
- Trim inside healthy channels: broad targeting, duplicate audiences, low intent forms.
- Protect capture channels and anything with payback under one quarter.
- Keep a minimum viable level, 15% to 25% of prior spend, where restarting would reset learning, audiences or rankings.
Build the cover plan
For each point of pipeline lost, assign a replacement source with an owner, a timeline and an expected recovery rate: bottom of funnel organic pages, customer and referral motions, executive led social content (count the hours as a cost), partner co marketing, database reactivation. Organic rarely replaces more than 30% to 50% of lost paid pipeline inside the same quarter. Show the remaining shortfall as a percentage.
Model three scenarios
Hold (cut only), Reallocate, and Reallocate with ring fenced demand creation. For each one show pipeline change versus baseline, revenue change with its time lag, and a confidence level.
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.
- 4d ago First seen · 62 lines · 77 tokens per session scan A abb635a5413e
budget-reallocation-under-cut is a skill published in the GitHub repository swan-gtm/gtm-skills (219 stars, last pushed 5d ago), licensed MIT. It adds 77 tokens to every session and 815 once invoked, about $0.0003 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 2026-10-21.
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