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 Doris-Labs/sales-skills --skill business-case-roigit clone --depth 1 https://github.com/Doris-Labs/sales-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/doris-labs/sales-skills/business-case-roi)<a href="https://agentmods.dev/skills/doris-labs/sales-skills/business-case-roi"><img src="https://agentmods.dev/badge/skills/doris-labs/sales-skills/business-case-roi/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/doris-labs/sales-skills/business-case-roi"><img src="https://agentmods.dev/badge/skills/doris-labs/sales-skills/business-case-roi.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 | $0.00062 | $0.01323 |
| Opus 5 | $0.00031 | $0.00661 |
| Sonnet 5 | $0.00012 | $0.00265 |
| Haiku 4.5 | $0.00006 | $0.00132 |
Grade A, and why
business-case-roi 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Business Case & ROI
Purpose
Turn a deal's pains and value drivers into a conservative, defensible ROI model and a one-page business case your champion can take into an internal sign-off meeting — built on the buyer's own numbers, not vendor marketing math.
Inputs
- The buyer's stated metrics (volumes, costs, cycle times, headcount, error rates) — whatever they actually told you
- The pains and value drivers they named, ranked by what they care about
- Your price / proposed investment (annual + any one-time cost)
- Who signs off and what they need to see (CFO = payback, champion = their pain solved)
Method
A business case is a chain: stated metric → cost of the problem → value of the fix → ROI → payback. Each link must trace to something the buyer said. If a number isn't theirs or directly derived from theirs, it's not defensible — cut it.
1. Quantify the cost of inaction (the "do nothing" number). Anchor the case on what staying still costs per year, not on your features.
Cost of inaction = (frequency of the problem) × (cost per occurrence) × (time horizon)
Use their numbers: "47 reps × 6 hrs/week lost × 46 working weeks × loaded hourly rate." Inaction is the real competitor — make it expensive and concrete before you price anything.
2. Map each value driver to one quantified impact. Every value driver must land in exactly one of four buckets (no double-counting):
| Bucket | Formula shape | Example |
|---|---|---|
| Time saved | hours saved × loaded rate × #people | 2 hrs/wk × $60 × 47 reps |
| Revenue gained | win-rate lift × avg deal × deal volume | +3pts × $40k × 200 deals |
| Cost avoided | spend or headcount removed | retire $30k/yr tool |
| Risk reduced | P(bad event) × cost of event | 5% churn risk × $X ARR |
| If a driver can't be put in a bucket, it's a "soft benefit" — list it as narrative, not in the math. |
3. Build the model conservatively — be defensible, not impressive.
- Use the low end of every range the buyer gave; haircut your own assumptions 30–50%.
- Apply a realized-value factor (e.g. 60%) so you're not claiming 100% capture in year one.
- State every assumption inline so the CFO can challenge a cell, not the whole model.
Annual gross value = Σ (quantified impacts, conservative)
Annual net value = gross value − annual investment
ROI % = (annual net value / annual investment) × 100
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 · 111 lines · 62 tokens per session scan A 938db91f014b
business-case-roi is a skill published in the GitHub repository Doris-Labs/sales-skills (3 stars, last pushed 3mo ago), licensed MIT. It adds 62 tokens to every session and 1,323 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 2026-08-31.
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