pricing-strategist

pricing-strategist is a skill for Claude Code, Codex from cass-2003/local-workflow-skill. It costs 108 tokens per session (2,143 once invoked), scanned A, original, MIT.

A product-pricing strategy guide for choosing a pricing model and designing package tiers. It covers subscription, usage-based, value-based, freemium, and hybrid pricing, plus analysis of customer willingness-to-pay survey data.

In plain words
What is it for?
Use it when launching or revising SaaS, API, or AI pricing, analyzing Van Westendorp price-sensitivity surveys, or creating Good/Better/Best packages.
Why use it?
It helps teams choose a pricing structure based on the product, customers, and market instead of changing prices without a framework. It also highlights packaging problems such as weak upgrade reasons or misleading tiers.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when launching or revising SaaS, API, or AI pricing, analyzing Van Westendorp price-sensitivity surveys, or creating Good/Better/Best packages.

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Install with agentmods
npx agentmods add skills/cass-2003/local-workflow-skill/pricing-strategist
Install

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.

Any agent
npx skills add cass-2003/local-workflow-skill --skill pricing-strategist
Clone the repo
git clone --depth 1 https://github.com/cass-2003/local-workflow-skill

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for pricing-strategist

README.md
[![agentmods](https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/pricing-strategist/github.svg)](https://agentmods.dev/skills/cass-2003/local-workflow-skill/pricing-strategist)
Your own site
<a href="https://agentmods.dev/skills/cass-2003/local-workflow-skill/pricing-strategist"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/pricing-strategist/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.

agentmods 80×15 button for pricing-strategist

Your own site · 80×15
<a href="https://agentmods.dev/skills/cass-2003/local-workflow-skill/pricing-strategist"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/pricing-strategist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,143 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00108 $0.02143
Opus 5 $0.00054 $0.01071
Sonnet 5 $0.00022 $0.00429
Haiku 4.5 $0.00011 $0.00214

Measured 6d ago against content hash 2ee20d1dffa5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

pricing-strategist 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 6d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/packaging_designer.py, scripts/pricing_model_picker.py, scripts/wtp_analyzer.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/commercial-strategy/community/pricing-strategist/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

pricing-strategist

Purpose

Help Commercial, Product Marketing, and CMO functions answer three questions at the pricing-design moment:

  1. Which pricing model fits this product + customer + market? (subscription seat-based, usage-based, value-based, freemium, hybrid)
  2. What does the customer actually pay before it feels too expensive? (Van Westendorp PSM on WTP survey responses)
  3. How should we package this into tiers? (Good / Better / Best — with anti-pattern detection)

The skill recommends a model and a range. The human picks the number, owns the trade-offs, and runs the GTM.

When to use

  • Launching a new SaaS / API / AI tool and choosing the first pricing model
  • Revisiting pricing after 18+ months of GTM data (model shift, not just price increase)
  • Designing or redesigning tier packaging (Good/Better/Best, Bronze/Silver/Gold)
  • You have Van Westendorp survey data and want the optimal price range
  • A board / exec is asking "what should we charge?" and you need the structured answer
  • You suspect your packaging has anti-patterns (decoy tier, feature dump, no upgrade trigger)

Do not use for:

  • Per-deal discount approval → deal-desk
  • Strategic CMO positioning, brand, category creation → c-level-advisor/cmo-advisor
  • Whole-company revenue strategy → c-level-advisor/cro-advisor
  • Technical-sale enablement → business-growth/sales-engineer

Workflow

Step 1 — Assess customer context

Fill assets/pricing_brief_template.md (≈ 20 min). Capture: industry, deal size avg, customer count, value drivers, adoption curve, consumption pattern (seat / usage / value / hybrid), competitor models.

Step 2 — Pick the pricing model

Run scripts/pricing_model_picker.py --input brief.json --profile saas --output markdown. Output ranks 5 models by fit-score 0-100 with trade-offs. Decision logic is deterministic: low usage variance + high seat-attach → subscription wins; power-law usage + variable customer value → usage-based wins.

Read the full file on GitHub · 135 lines

Files

What ships with it

7 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.

Changes

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.

  1. 6d ago First seen · 135 lines · 108 tokens per session scan A 2ee20d1dffa5

Subscribe to this mod's changes

pricing-strategist is a skill published in the GitHub repository cass-2003/local-workflow-skill (12 stars, last pushed 2mo ago), licensed MIT. It adds 108 tokens to every session and 2,143 once invoked, about $0.0005 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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