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 krillinai/growth-skills --skill ltv-analysisgit clone --depth 1 https://github.com/krillinai/growth-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/krillinai/growth-skills/ltv-analysis)<a href="https://agentmods.dev/skills/krillinai/growth-skills/ltv-analysis"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/ltv-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/krillinai/growth-skills/ltv-analysis"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/ltv-analysis.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 | $0.00078 | $0.02375 |
| Opus 5 | $0.00039 | $0.01188 |
| Sonnet 5 | $0.00016 | $0.00475 |
| Haiku 4.5 | $0.00008 | $0.00237 |
Grade A, and why
ltv-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 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.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LTV Analysis
Estimate how much value a defined customer cohort has produced and may produce over an explicit horizon. Keep realized value, forecast value, customer value, revenue, contribution, and causal allocation separate; LTV is a versioned decision model, not an intrinsic customer property.
Read ltv-contract.md before accepting customer, cohort, retention, revenue, cost, or forecast evidence. Read methods-and-formulas.md before calculating observed or forecast LTV. Read calibration-and-uncertainty.md before comparing predictions, cohorts, models, or maturity. Read decisions-and-governance.md before using LTV for acquisition, pricing, treatment, portfolio, privacy, or market-transfer decisions. Read output-contract.md before delivery. Use playbook-sources.md to cite the pinned Growth Playbook basis.
Select One Mode
| Mode | Use |
|---|---|
audit |
Inspect an existing LTV definition, calculation, model, report, ratio, forecast, or decision |
estimate |
Calculate actual-to-date value or create a bounded forecast from supplied cohort, value, retention, and cost evidence |
portfolio |
Compare compatible cohorts, products, channels, markets, or scenarios under one decision and capital boundary |
Name one primary mode, decision, owner, customer and payer entity, cohort, product, market, value basis, horizon, evidence cutoff, model version, and external-action boundary. Public pages may verify visible prices, packages, products, and claims; they cannot establish realized customers, retention, costs, contribution, LTV, CAC, payback, forecast quality, or incrementality.
Freeze The LTV Contract
Record beneficiary, user, seat, workspace, household, account, legal customer, subscription, contract, order, payer, and marketplace participant hierarchy; acquisition, eligibility, activation, value, purchase, renewal, expansion, contraction, lapse, cancellation, churn, resurrection, reactivation, refund, and deletion states; cohort entry and original denominator; natural frequency and opportunity; product, offer, package, price, market, language, locale, currency, tax, revenue, cost, contribution, discount, cash, horizon, maturity, censoring, tail, terminal, identity, source, quality, privacy, model, uncertainty, calibration, owner, and requested action.
What ships with it
6 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 · 104 lines · 78 tokens per session scan A 534604022af2
ltv-analysis is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 16d ago), licensed MIT. It adds 78 tokens to every session and 2,375 once invoked, about $0.0004 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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