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 gokulb20/crewm8-cfo-skills --skill revenue-forecastinggit clone --depth 1 https://github.com/gokulb20/crewm8-cfo-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/gokulb20/crewm8-cfo-skills/revenue-forecasting)<a href="https://agentmods.dev/skills/gokulb20/crewm8-cfo-skills/revenue-forecasting"><img src="https://agentmods.dev/badge/skills/gokulb20/crewm8-cfo-skills/revenue-forecasting/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/gokulb20/crewm8-cfo-skills/revenue-forecasting"><img src="https://agentmods.dev/badge/skills/gokulb20/crewm8-cfo-skills/revenue-forecasting.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 | $0.00079 | $0.02654 |
| Opus 5 | $0.00039 | $0.01327 |
| Sonnet 5 | $0.00016 | $0.00531 |
| Haiku 4.5 | $0.00008 | $0.00265 |
Grade A, and why
revenue-forecasting 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 12d 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 — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Revenue Forecasting
Build robust revenue forecasts — the foundation of every other financial model. Use multiple methods (cohort, pipeline, SaaS metrics), project by segment, and model growth levers. Goal: a revenue forecast that the CEO trusts, the board believes, and the team can execute against.
Purpose
Revenue is the single most important input to every financial model — budget, cash flow, headcount, and valuation all depend on it. This skill provides multiple validated methods to project revenue, reconcile them against each other, and produce a forecast that stakeholders can trust and act on.
When to Use
- "Build our revenue forecast"
- "Model revenue growth for next year"
- "Forecast ARR by cohort"
- "Project enterprise pipeline revenue"
- "What growth rate is realistic?"
- "Model expansion revenue vs new logo revenue"
Inputs Required
- Historical revenue — monthly MRR/ARR, broken out by: new logos, expansion, churn/contraction. At least 12 months.
- Customer acquisition data — new customers per month, by segment/channel.
- Pipeline data — for enterprise sales: qualified pipeline by stage, historical win rates, average deal size, cycle time.
- Churn data — logo churn and revenue churn by segment and cohort.
- Expansion data — NRR trends, upsell rates, price increase schedule.
Quick Reference
| Metric | Formula | What It Tells You |
|---|---|---|
| Net New ARR | New Logo ARR + Expansion ARR − Churned ARR − Contraction ARR | Growth engine health |
| NRR (Net Revenue Retention) | (Starting ARR + Expansion − Churn − Contraction) / Starting ARR | Customer value expansion |
| Logo churn rate | Customers lost / Starting customers | Customer retention |
| Pipeline coverage | Weighted pipeline value / Quota | Sales capacity to hit target |
| Growth deceleration | Current growth rate vs size-adjusted benchmark | Realistic growth expectations |
Procedure
1. Revenue Composition Analysis
Break down revenue growth:
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.
- 12d ago First seen · 213 lines · 79 tokens per session scan A b5d0d3e79fe4
revenue-forecasting is a skill published in the GitHub repository gokulb20/crewm8-cfo-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 79 tokens to every session and 2,654 once invoked, about $0.0004 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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