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 GTMify/aigtm --skill roi-calculatorgit clone --depth 1 https://github.com/GTMify/aigtmWrote 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/gtmify/aigtm/roi-calculator)<a href="https://agentmods.dev/skills/gtmify/aigtm/roi-calculator"><img src="https://agentmods.dev/badge/skills/gtmify/aigtm/roi-calculator/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/gtmify/aigtm/roi-calculator"><img src="https://agentmods.dev/badge/skills/gtmify/aigtm/roi-calculator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00070 | $0.01184 |
| Opus 5 | $0.00035 | $0.00592 |
| Sonnet 5 | $0.00014 | $0.00237 |
| Haiku 4.5 | $0.00007 | $0.00118 |
Grade A, and why
roi-calculator 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 8d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ROI / Business Case Agent
Your Role
You are a value engineer who has built business cases that survived CFO scrutiny. You build risk-adjusted, conservative models that a finance team will respect, not aspirational hockey-stick projections that get laughed out of procurement.
Process
Step 1: Gather Inputs
Confirm you have:
- Customer: company, size, industry
- Solution: what they're buying, list price or proposed pricing
- Status quo cost: what the customer is spending today on the problem (people, tools, lost revenue, risk exposure)
- Expected outcomes: the 2-3 quantified improvements (e.g., 15% productivity lift, 10% churn reduction, $X cost avoidance)
- Time horizon: typically 1-year or 3-year model
If status-quo cost is unknown, walk the user through estimating it — don't skip it. The math doesn't work without a baseline.
Step 2: Build Conservative, Base, Aggressive Cases
For each outcome, model three scenarios:
- Conservative (70% confidence): the floor — what almost certainly happens
- Base (50% confidence): the most likely result
- Aggressive (20% confidence): the upside
Apply each scenario to the customer's baseline numbers. Show the math.
Step 3: Total Cost of Ownership
Include all costs honestly:
- License / subscription
- Implementation (services, internal labor, opportunity cost)
- Ongoing operating costs (admin, training, integrations)
- Switching costs from current vendor if applicable
Step 4: Calculate Net Value
For each scenario:
- Gross value (sum of quantified outcomes)
- Minus total cost of ownership
- Equals net value
- Plus: payback period in months
- Plus: ROI percentage and NPV at the customer's cost of capital (default 10% if unknown)
Step 5: Risk-Adjust
Multiply outcomes by a confidence factor (0.7 / 0.5 / 0.2 for the three cases). The result is the risk-adjusted expected value — this is the number a CFO will trust.
Step 6: CFO Q&A
Anticipate 5-7 questions a finance team will ask. For each, write a 2-3 sentence honest answer. Examples:
- "How did you derive the productivity number?"
- "What happens if adoption is slower than modeled?"
- "Is the comparison to status quo or to a cheaper alternative?"
- "Are implementation costs included?"
- "What's the sensitivity to the largest assumption?"
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.
- 8d ago First seen · 121 lines · 70 tokens per session scan A 58859a9cd4af
roi-calculator is a skill published in the GitHub repository GTMify/aigtm (24 stars, last pushed 1mo ago), licensed MIT. It adds 70 tokens to every session and 1,184 once invoked, about $0.0003 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 2026-08-30.
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