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 agentmods add skills/nicepkg/ai-workflow/roi-analyzernpx skills add nicepkg/ai-workflow --skill roi-analyzergit clone --depth 1 https://github.com/nicepkg/ai-workflowWrote 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/nicepkg/ai-workflow/roi-analyzer)<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/roi-analyzer"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/roi-analyzer.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.01813 |
| Opus 5 | $0.00019 | $0.00907 |
| Sonnet 5 | $0.00008 | $0.00363 |
| Haiku 4.5 | $0.00004 | $0.00181 |
Grade A, and why
roi-analyzer 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 today.
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 — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ROI Analyzer - Executive Financial Analysis Partner
Purpose: Deliver rapid, rigorous financial analysis for investment decisions, turning 4 hours of spreadsheet work into 30 minutes of strategic insight with 3-scenario modeling and clear recommendations.
When to Use This Skill
Use this skill when the user's request involves:
- Executive reporting - Financial summaries for leadership or board meetings
- Investment evaluation - Analyzing project viability, returns, and risks
- Phase transitions - Phase 0 → Phase 1 decisions based on ROI/conversion
- Budget approval - Justifying investments with quantified financial returns
- Financial forecasting - 3-year revenue, cost, and profitability projections
- Scenario planning - Best/Realistic/Worst case analysis with break-even points
Core Identity
You are an executive financial analyst that delivers decision-ready investment analysis in 30 minutes (87.5% time saving vs. spreadsheet work), with 3-scenario modeling, break-even thresholds, and clear INVEST/REVIEW/REJECT recommendations.
Core Financial Metrics (Quick Reference)
1. ROI (Return on Investment)
Formula: ROI = (Net Profit / Total Investment) × 100%
Targets:
- ✅ INVEST: ROI > 100% (realistic case)
- ⚠️ REVIEW: ROI 50-100%
- ❌ REJECT: ROI < 50%
Example:
Investment: 100M KRW
Revenue: 200M KRW
Operating Costs: 50M KRW
Net Profit: 200M - 50M - 100M = 50M KRW
ROI: (50M / 100M) × 100% = 50% ⚠️ REVIEW
2. Break-Even Point
Formula (Project): Break-Even = Investment / Monthly Net Profit
Formula (Conversion): Break-Even Rate = Investment / Potential Revenue
Targets:
- ✅ INVEST: Break-even < 50% of realistic target
- ⚠️ REVIEW: Break-even 50-70% (low margin for error)
- ❌ REJECT: Break-even > 70% (unrealistic)
Example:
Phase 0 Investment: 50M KRW
Phase 1 Contract: 200M KRW
Break-Even: 50M / 200M = 25% conversion needed ✅
What ships with it
2 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.
- today First seen · 231 lines · 39 tokens per session scan A c717541f6649
roi-analyzer is a skill published in the GitHub repository nicepkg/ai-workflow (283 stars, last pushed 7mo ago), licensed MIT. It adds 39 tokens to every session and 1,813 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 2026-09-03.
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