Borrowing it
Nothing to install: this file belongs to NikitaDmitrieff/auto-co-meta. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/NikitaDmitrieff/auto-co-meta/main/.claude/skills/startup-business-models/SKILL.mdgit clone --depth 1 https://github.com/NikitaDmitrieff/auto-co-metaWrote 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/nikitadmitrieff/auto-co-meta/startup-business-models)<a href="https://agentmods.dev/skills/nikitadmitrieff/auto-co-meta/startup-business-models"><img src="https://agentmods.dev/badge/skills/nikitadmitrieff/auto-co-meta/startup-business-models/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/nikitadmitrieff/auto-co-meta/startup-business-models"><img src="https://agentmods.dev/badge/skills/nikitadmitrieff/auto-co-meta/startup-business-models.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 | $0.00059 | $0.01634 |
| Opus 5 | $0.00030 | $0.00817 |
| Sonnet 5 | $0.00012 | $0.00327 |
| Haiku 4.5 | $0.00006 | $0.00163 |
Grade A, and why
startup-business-models 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Startup Business Models
Systematic workflow for choosing revenue models, pricing, and unit economics.
Quick Start (Inputs)
Ask for the smallest set of inputs that makes the decision meaningful:
- Business type: SaaS, usage-based/API, marketplace, services, hardware + service
- ICP/segment(s): SMB / mid-market / enterprise (and ACV/ARPA bands)
- Current pricing and packaging: value metric, tiers, limits, discount policy, billing cadence
- Unit economics drivers: fully-loaded CAC, gross margin/COGS (include LLM/infra/third-party), churn/retention, expansion (NRR)
- Constraints: sales motion (PLG vs sales-led), implementation constraints (billing metering, proration), gross margin floor, payback target
If numbers are missing, proceed with ranges + explicit assumptions and highlight what to measure next.
Workflow
- Classify the model
- Subscription, usage-based, freemium, marketplace take-rate, transaction fee, ads, outcome-based, credit-based, hybrid.
- Build a segment-level unit economics snapshot
- Use
references/unit-economics-calculator.mdfor formulas, benchmarks, and common pitfalls. - Prefer cohort/segment views over blended averages.
- Evaluate model fit and risks
- Align price metric with value delivered and cost incurred (especially usage + AI compute).
- Identify failure modes: margin compression, adverse selection, channel conflict, support cost explosions, metering/overage friction.
- Propose pricing + packaging changes
- Use
references/pricing-research-guide.mdfor WTP methods and pricing interview scripts. - Use
assets/pricing-tier-design.mdto draft tiers, limits, upgrade triggers, and enforcement rules.
- Define measurement and roll-out
- Define success metric + guardrails, evaluation design, and explicit lag windows (conversion now, retention later).
- Deliver a decision-ready output
- Recommendation, rationale, assumptions, scenarios (base/best/worst), and next experiments.
2026 Heuristics (Context-Dependent)
- Prioritize payback and gross margin over a single ratio; LTV:CAC is easiest to game.
- Typical SaaS targets (directional, by segment/stage): LTV:CAC 3-5x, payback 6-12 months (PLG) or 12-18 months (sales-led early), NRR >100% (mid-market/enterprise) and gross margin >70% (software-only).
- For usage-based / AI products: model contribution margin per unit (token/job/workflow) and set pricing guardrails (rate limits, minimums, commit tiers, credit expiries).
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 · 141 lines · 59 tokens per session scan A 5457890151ef
startup-business-models is a skill published in the GitHub repository NikitaDmitrieff/auto-co-meta (43 stars, last pushed 2mo ago), licensed MIT. It adds 59 tokens to every session and 1,634 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.
Other skills, from other repositories
browser-automation
Playwright-based browser automation patterns for autonomous web interaction.
stripe
Read Stripe account state from a terminal or agent: balance, payment intents, and subscriptions — and perform guarded mutations like canceling a subscription — backed by a bundled stripe-cli script that is read-only first and gates every state-changing command behind a --dry-run/--yes confirmation. Use when an agent…
yc-default-alive-calculator
Evaluate startup runway, burn, revenue, and profitability trajectory using the Default Alive / Default Dead framework. Do not use this skill for weekly growth experiments or operating growth decisions; use yc-weekly-growth-compass for those decisions.
actuarial-risk-modeling
Use when analyzing, selecting, validating, or communicating models for insurance, actuarial, financial-risk, or other consequential uncertain outcomes. Covers regression, generalized linear models, frequency-severity, panel and longitudinal data, survival, time series, credibility, reserving, tail risk, calibration…
financial-modeling
Build and review assumptions-led financial models, unit economics, pricing, fundraising scenarios, and SaaS operating metrics. Use when calculating CAC, LTV, payback, runway, ARR, churn, NDR, Rule of 40, or sales efficiency; when modeling revenue, costs, cash flow, pricing, cap tables, or financing. Do not use this…
ceo-intel
Global, geopolitical, and cross-domain intelligence brief for the CEO - world events, sovereign-tech shifts, macro and threat signals relevant to 31C, rendered as a dated HTML/PDF brief. Use for world-scale situational awareness, not a single entity. Trigger when the user says "world intel", "geopolitical brief"…