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-researchgit 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-research)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/pricing-research"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/pricing-research/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-research"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/pricing-research.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 | $0.01524 |
| Opus 5 | $0.00012 | $0.00762 |
| Sonnet 5 | $0.00005 | $0.00305 |
| Haiku 4.5 | $0.00002 | $0.00152 |
Grade A, and why
pricing-research 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pricing research skill
Gather evidence-based pricing data through structured methodologies. Produces willingness-to-pay ranges, price sensitivity curves, and competitive pricing intelligence that feed into /pricing-strategy for packaging decisions.
Inputs
| Input | Required | Source |
|---|---|---|
| Product/feature to price | Yes | User specifies what's being priced |
| ICP profile | Recommended | /icp-research output |
| Competitor pricing data | Recommended | /competitor-research output or manual gathering |
| Current pricing (if exists) | Optional | User provides existing pricing |
| Target sample size | Optional | Default: 30-50 respondents per segment |
Scope boundary
This skill produces research data. It answers "what are people willing to pay?" and "what does the market charge?"
It does NOT answer:
- How to package features into tiers (that's
/pricing-strategy) - How to structure a freemium vs. trial model (that's
/pricing-strategy) - How to design a pricing page (that's
/landing-page-copy) - Whether to do usage-based vs. seat-based (that's
/pricing-strategyinformed by this research)
Think of this as the evidence gathering that makes pricing-strategy decisions defensible instead of gut-feel.
Methodologies (overview)
Four methodologies are documented in the premium reference. Choose by goal:
| Methodology | Best for | Sample size | Output |
|---|---|---|---|
| 1. Van Westendorp PSM | Establishing acceptable price range from scratch | 30-50 per segment | PMC / OPP / IDP / PME points + range |
| 2. Gabor-Granger | Testing a shortlist of candidate prices | 30-50 per segment | Demand curve + revenue-max price |
| 3. Conjoint analysis | Pricing multi-feature products with modular packaging | 200+ | Per-attribute utility incl. price |
| 4. Competitive intel | Mapping the market before primary research | Desk research | Competitive pricing matrix |
Default starting point for B2B SaaS under $10M ARR: Van Westendorp + Gabor-Granger + competitive intel. That's 80% of the insight at 20% of the cost. Reach for conjoint only when packaging is genuinely complex.
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 · 126 lines · 120 tokens per session scan A 41056dd22d89
pricing-research 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 1,524 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.