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 charlieviettq/awesome-agent-skill --skill biz-dupontgit clone --depth 1 https://github.com/charlieviettq/awesome-agent-skillWrote 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/charlieviettq/awesome-agent-skill/biz-dupont)<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/biz-dupont"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/biz-dupont/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/charlieviettq/awesome-agent-skill/biz-dupont"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/biz-dupont.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 | $0.00083 | $0.01384 |
| Opus 5 | $0.00042 | $0.00692 |
| Sonnet 5 | $0.00017 | $0.00277 |
| Haiku 4.5 | $0.00008 | $0.00138 |
Grade A, and why
"biz-dupont" 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 9d 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.
This is a copy
92% identical to biz-dupont — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DuPont Analysis
Overview
DuPont decomposes ROE into three multiplicative components: Net Profit Margin × Asset Turnover × Equity Multiplier. This reveals whether ROE is driven by profitability, efficiency, or leverage — critical for diagnosis and comparison.
When to Use
Trigger conditions:
- User asks "why is our ROE high/low?"
- User comparing financial performance across companies
- User needs to identify which operational lever improves returns
- User analyzing profitability beyond top-line metrics
When NOT to use:
- For company valuation → use DCF
- For comprehensive ratio analysis → use Financial Ratios skill
- For strategic positioning → use SWOT
Framework
IRON LAW: Three-Factor Decomposition
ROE = Net Profit Margin × Asset Turnover × Equity Multiplier
= (Net Income/Revenue) × (Revenue/Total Assets) × (Total Assets/Equity)
All three factors MUST be calculated and analyzed. Reporting ROE without
decomposition is like reporting a fever without checking symptoms.
IRON LAW: High Leverage ≠ Good Performance
A high Equity Multiplier (Assets/Equity) inflates ROE through debt.
A company with 5% margin, 1.0x turnover, and 6x leverage has ROE of 30% —
but is one bad quarter away from insolvency. Always flag when leverage
is the dominant driver.
Step 1: Calculate the Three Components
| Component | Formula | What It Measures |
|---|---|---|
| Net Profit Margin | Net Income / Revenue | Profitability — how much of each dollar of revenue becomes profit |
| Asset Turnover | Revenue / Total Assets | Efficiency — how well assets generate revenue |
| Equity Multiplier | Total Assets / Shareholders' Equity | Leverage — how much debt amplifies equity returns |
Step 2: Diagnose the Driver
Compare each component to industry benchmarks and trends:
- Margin-driven ROE: Premium brands, tech companies (high margin, lower turnover)
- Turnover-driven ROE: Retail, fast food (low margin, high turnover)
- Leverage-driven ROE: Banks, real estate (moderate margin, high leverage) — flag the risk
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 140 lines · 83 tokens per session scan A 3a407f449473
"biz-dupont" is a skill published in the GitHub repository charlieviettq/awesome-agent-skill (26 stars, last pushed 1mo ago), licensed MIT. It adds 83 tokens to every session and 1,384 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to biz-dupont, differing in 8 lines, and is treated as a copy.
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