"algo-price-van-westendorp"

"algo-price-van-westendorp" is a skill for Claude Code from charlieviettq/awesome-agent-skill. It costs 79 tokens per session (1,025 once invoked), scanned A, a copy of algo-price-van-westendorp, MIT.

A survey method for finding the prices customers consider too cheap, acceptable, or too expensive. It uses four price-perception questions to estimate an acceptable price range and several reference points within it.

In plain words
What is it for?
Use it to research an initial price, identify an acceptable range, and calculate the Point of Marginal Cheapness, Point of Marginal Expensiveness, Indifference Price Point, and Optimal Price Point from survey data.
Why use it?
It gives an early view of reasonable pricing without requiring a complex experiment. It does not account for costs, competitors, or the price that would maximize revenue.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: positional $N argument.

Good fit Use it to research an initial price, identify an acceptable range, and calculate the Point of Marginal Cheapness, Point of Marginal Expensiveness, Indifference Price Point, and Optimal Price Point from survey data.

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Install with agentmods
npx agentmods add skills/charlieviettq/awesome-agent-skill/algo-price-van-westendorp
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 charlieviettq/awesome-agent-skill --skill algo-price-van-westendorp
Clone the repo
git clone --depth 1 https://github.com/charlieviettq/awesome-agent-skill

Made for: Claude Code.

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 "algo-price-van-westendorp"

README.md
[![agentmods](https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/algo-price-van-westendorp/github.svg)](https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/algo-price-van-westendorp)
Your own site
<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/algo-price-van-westendorp"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/algo-price-van-westendorp/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 "algo-price-van-westendorp"

Your own site · 80×15
<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/algo-price-van-westendorp"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/algo-price-van-westendorp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,025 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 88% copy Near-identical to another mod 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 $0.00079 $0.01025
Opus 5 $0.00039 $0.00513
Sonnet 5 $0.00016 $0.00205
Haiku 4.5 $0.00008 $0.00103

Measured 12d ago against content hash 0d795a85deeb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

"algo-price-van-westendorp" 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.

Origin

This is a copy

88% identical to algo-price-van-westendorp — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/algo-price-van-westendorp/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Van Westendorp Price Sensitivity Meter

Overview

Van Westendorp PSM uses four price perception questions to identify an acceptable price range through intersection analysis. Produces: Point of Marginal Cheapness (PMC), Point of Marginal Expensiveness (PME), Indifference Price Point (IPP), and Optimal Price Point (OPP). Requires survey data from 100+ respondents.

When to Use

Trigger conditions:

  • Setting initial price for a new product or service
  • Identifying the acceptable price range from consumer perception
  • Quick pricing research without complex experimental design

When NOT to use:

  • When you need to measure attribute trade-offs (use conjoint analysis)
  • When you need demand curve estimation (use price elasticity)

Algorithm

IRON LAW: Van Westendorp Identifies an ACCEPTABLE Range, Not Optimal Price
It doesn't account for competition, costs, or willingness to pay at
scale. It tells you WHERE prices are perceived as reasonable, not
what maximizes revenue. Use as input to pricing strategy, not as the
final answer.

Phase 1: Input Validation

Survey 100+ target customers with four questions at various price points:

  1. Too cheap (quality suspect)? 2. A bargain (great deal)? 3. Getting expensive (but would consider)? 4. Too expensive (would not buy)? Gate: 100+ responses, all four curves plottable.

Phase 2: Core Algorithm

  1. For each price point, compute cumulative percentages for each question
  2. Plot four curves: "too cheap" (descending), "cheap/bargain" (descending), "expensive" (ascending), "too expensive" (ascending)
  3. Find intersections:
    • OPP = intersection of "too cheap" and "too expensive" (optimal price point)
    • IPP = intersection of "cheap" and "expensive" (indifference price point)
    • PMC = intersection of "too cheap" and "expensive" (marginal cheapness)
    • PME = intersection of "cheap" and "too expensive" (marginal expensiveness)
  4. Acceptable range = [PMC, PME]

Phase 3: Verification

Check: PMC < OPP < IPP < PME (expected ordering). All intersections exist within surveyed range. Gate: Four-point ordering is logical, range is commercially viable.

Read the full file on GitHub · 91 lines

Files

What ships with it

3 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. 12d ago First seen · 91 lines · 79 tokens per session scan A 0d795a85deeb

Subscribe to this mod's changes

"algo-price-van-westendorp" is a skill published in the GitHub repository charlieviettq/awesome-agent-skill (25 stars, last pushed 1mo ago), licensed MIT. It adds 79 tokens to every session and 1,025 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to algo-price-van-westendorp, differing in 8 lines, and is treated as a copy.

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