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 profitability-analysisgit 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/profitability-analysis)<a href="https://agentmods.dev/skills/gokulb20/crewm8-cfo-skills/profitability-analysis"><img src="https://agentmods.dev/badge/skills/gokulb20/crewm8-cfo-skills/profitability-analysis/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/profitability-analysis"><img src="https://agentmods.dev/badge/skills/gokulb20/crewm8-cfo-skills/profitability-analysis.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 | $0.00033 | $0.02936 |
| Opus 5 | $0.00016 | $0.01468 |
| Sonnet 5 | $0.00007 | $0.00587 |
| Haiku 4.5 | $0.00003 | $0.00294 |
Grade A, and why
profitability-analysis 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 11d 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 — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Profitability Analysis
Analyze profitability across every dimension of the business — by product, customer segment, channel, geography, and cohort. Identify what's making money, what's losing money, and where to focus. Goal: the company invests in its profit engines and fixes or kills its loss-makers.
Purpose
Most startups look at blended gross margin and assume everything is fine. Segment-level profitability analysis almost always reveals ugly truths: a product that's losing money, a customer segment that destroys value, a geography that drains cash. Without this analysis, companies unknowingly invest in their loss-makers and underinvest in their profit engines. This skill provides the multi-dimensional view needed to allocate capital, set strategy, and improve margins where it matters.
When to Use
- "Which products / customers / segments are most profitable?"
- "Analyze profitability by [dimension]"
- "Where are we losing money?"
- "Profitability deep dive"
- "Should we keep selling to SMB / that segment / that geography?"
- "Channel profitability analysis"
Inputs Required
- Revenue data — revenue by customer, product, channel, geography.
- Cost data — COGS and OpEx with allocation keys (headcount by team, infrastructure by product, S&M by channel).
- Customer data — segment labels, ARPU, churn rates.
- Headcount data — employees by team, by product, by function.
Quick Reference
| Profitability Level | What It Includes | Use Case |
|---|---|---|
| Gross Profit | Revenue − Direct COGS | Product-level margin health |
| Contribution Margin | Gross Profit − Direct S&M (segment-level) | Channel and segment efficiency |
| Fully Loaded | Contribution − Shared R&D & G&A allocation | True economic profit |
| 80/20 Rule of Profit | Typical Finding |
|---|---|
| 20% of customers generate | 80%+ of profit |
| The bottom 20% of customers | Often destroy value (unprofitable) |
| 1-2 products/channels | Often account for majority of total profit |
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.
- 11d ago First seen · 194 lines · 33 tokens per session scan A 83cbc9fea946
profitability-analysis is a skill published in the GitHub repository gokulb20/crewm8-cfo-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 33 tokens to every session and 2,936 once invoked, about $0.0002 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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