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 matteotitta/genesys-skills --skill pricing-strategygit clone --depth 1 https://github.com/matteotitta/genesys-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/matteotitta/genesys-skills/pricing-strategy)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/pricing-strategy"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/pricing-strategy/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/matteotitta/genesys-skills/pricing-strategy"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/pricing-strategy.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 | $0.00024 | $0.02722 |
| Opus 5 | $0.00012 | $0.01361 |
| Sonnet 5 | $0.00005 | $0.00544 |
| Haiku 4.5 | $0.00002 | $0.00272 |
Grade A, and why
pricing-strategy 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pricing strategy
Develop a data-informed B2B SaaS pricing strategy through customer research, competitive analysis, and structured framework application. Output guides pricing decisions, tier structure, value metric selection, and pricing page optimization. Knowledge type: pricing-strategy (per .claude/rules/ontology.md); maturity: emergent → validated after team review → canonical when locked. Visual phase map + triggers + input checklist → the premium reference.
When to run
Invoke when the user asks for: pricing strategy for [product/company], help me figure out pricing for [product], how should I price [product]?, Van Westendorp analysis for [product], MaxDiff for feature prioritization, design pricing tiers for [product], what's the right value metric for [product]?, pricing page optimization for [company], compare competitor pricing in [category]. Do NOT invoke for: pricing page copy only (use /landing-page-copy — run this first if strategy needed), competitor research only (use /competitor-research), product messaging only (use /product-messaging), or quick single-element questions (answer directly without full framework). Full trigger + invocation rules → the premium reference.
The Iron Law: no pricing recommendation without source verification. Every competitor price cites URL + access date. Price points are ranges, never single points of false precision. Customer willingness data is collected (Van Westendorp / MaxDiff) or explicitly marked as [Customer research required] — never invented. Full guardrails → the premium reference.
Inputs
Required:
product name— product being priced.current pricing— existing pricing if any (or explicit "no current pricing").
Recommended (improve quality):
competitor pricing— provides market anchors.ICP research— identifies willingness to pay by segment.product messaging— clarifies value prop for pricing alignment.customer feedback— direct willingness-to-pay signals.
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 · 148 lines · 92 tokens per session scan A 6efa8a816933
pricing-strategy is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 2,722 once invoked, about $0.0001 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.
Other skills, from other repositories
gingiris-b2b-growth
🇺🇸 B2B SaaS Growth — PLG vs SLG Playbook — Diagnose whether your problem is distribution, pricing, or PMF. PLG/SLG selection by ACV and sales cycle, the 5-stage path from $0 to $10M ARR, NRR discipline, affiliate & channel motion, enterprise tiering. Built from HeyGen, Deel, Vercel, Supabase, Snowflake patterns.…
gr-b2b-growth
A guide to growing a business-to-business software product from early user research to large-scale sales. B2B software is sold to companies rather than individual consumers.
go-to-market-playbook
A reusable Go-to-Market strategy template for both B2B and B2C launches. Covers positioning, messaging, ICP definition, channel selection, and competitive analysis frameworks. By @WeiYipei.
financial-modeling
SaaS financial modeling for founders — operating model, runway, headcount, DCF valuation, consumption-based pricing models, cohort analysis, unit economics by segment, ARR bridge/build, 3-scenario forecasting, and board-ready financials. Use when building financial model, projecting runway, modeling fundraising…
fundraising-strategy
Complete fundraising strategy for B2B SaaS founders. Use when preparing to raise seed/Series A, deciding VC vs bootstrapped path, building pitch deck, running a fundraise process, evaluating term sheets, or planning fundraising timeline. Covers SAFE, priced rounds, and bootstrapper alternatives.
saas-metrics-calculator
Calculate and interpret SaaS metrics for founders: MRR, ARR, NRR, GRR, churn, CAC payback, LTV:CAC, burn multiple, Rule of 40, cohort retention, and scenario models. Use when building investor updates, dashboards, board materials, pricing decisions, or growth diagnostics.