Agent skill

Psm Analyzer

by revfactory in revfactory/harness-100

A Van Westendorp PSM (Price Sensitivity Meter) methodology for price sensitivity analysis.

Apache-2.0Auto-check passedSales & Support

Install Psm Analyzer

skills CLI
$ npx skills add revfactory/harness-100 --skill psm-analyzer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install revfactory/harness-100 psm-analyzer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/en/50-pricing-strategy/.claude/skills/psm-analyzer .claude/skills/psm-analyzer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
psm-analyzer
GitHub stars
1.3k
Token cost
~1.3k tokens
SKILL.md length
69 words
Files
1
Skills in repo
464
Repo updated
First seen
Licence
Apache-2.0

At a glance

A Van Westendorp PSM (Price Sensitivity Meter) methodology for price sensitivity analysis.

  • Works in 3 steps: Data Collection → Cumulative Distribution Graph → Intersection Point Derivation
  • Price sensitivity
  • SKILL.md covers Target Agents, Van Westendorp PSM 4 Core…, PSM Analysis Method and Gabor-Granger Supplementary…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Psm Analyzer is an agent skill from revfactory/harness-100. A Van Westendorp PSM (Price Sensitivity Meter) methodology for price sensitivity analysis. Use this skill for 'PSM analysis', 'price sensitivity', 'Van Westendorp', 'optimal price', 'price acceptance range', 'willingness to pay analysis', and other price sensitivity research needs. However, actual survey execution and statistical software operation are outside the scope of this skill.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Sales & Support, covering Pricing strategy. The licence is Apache-2.0.

When your agent uses it

  • Price sensitivity
  • Price acceptance range
  • Willingness to pay analysis
  • Other price sensitivity research needs

Example prompts

  • “PSM analysis”
  • “price sensitivity”
  • “Van Westendorp”
  • “/psm-analyzer”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Data Collection
  2. Cumulative Distribution Graph
  3. Intersection Point Derivation

What it can do on your machine

Read from SKILL.md and the folder at commit 8e8d35c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Psm Analyzer loads about 1.3k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 69 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 69 words, ~1,290 tokens.

Download SKILL.mdSave it as .claude/skills/psm-analyzer/SKILL.md (or your agent's skills folder).
name
psm-analyzer
description
A Van Westendorp PSM (Price Sensitivity Meter) methodology for price sensitivity analysis. Use this skill for 'PSM analysis', 'price sensitivity', 'Van Westendorp', 'optimal price', 'price acceptance range', 'willingness to pay analysis', and other price sensitivity research needs. However, actual survey execution and statistical software operation are outside the scope of this skill.

PSM Analyzer — Van Westendorp Price Sensitivity Analysis

A skill that enhances the pricing capabilities of value-assessor and pricing-simulator.

Target Agents

  • value-assessor — Systematically analyzes WTP (willingness to pay)
  • pricing-simulator — Incorporates PSM results into simulations

Van Westendorp PSM 4 Core Questions

Q1: "At what price would you consider the product too cheap, making you question its quality?"
    → Too Cheap (TC) curve

Q2: "At what price would you consider the product a bargain — a great buy for the money?"
    → Cheap/Bargain (C) curve

Q3: "At what price would you start to feel the product is expensive?"
    → Expensive (E) curve

Q4: "At what price would you consider the product too expensive to even consider?"
    → Too Expensive (TE) curve

PSM Analysis Method

Step 1: Data Collection
Respondents: 50-200 target customers
Format: Specific monetary amounts for each question
Prerequisite: Sufficient product/service description provided

Data Table:
| Respondent | Too Cheap | Cheap | Expensive | Too Expensive |
|-----------|-----------|-------|-----------|---------------|
| 1         | 5         | 10    | 30        | 50            |
| 2         | 3         | 8     | 25        | 40            |
| ...       | ...       | ...   | ...       | ...           |
Step 2: Cumulative Distribution Graph
X-axis: Price ($0 to maximum response price)
Y-axis: Cumulative percentage (0% to 100%)

TC (Too Cheap): Left-to-right cumulative (at or below percentage)
C (Cheap):      Left-to-right cumulative (at or below percentage)
E (Expensive):  Right-to-left cumulative (at or above percentage)
TE (Too Expensive): Right-to-left cumulative (at or above percentage)
Step 3: Intersection Point Derivation
4 Key Price Points:

PMC (Point of Marginal Cheapness):
  TC (Too Cheap) ∩ E (Expensive) intersection
  → Below this price, quality suspicion begins

OPP (Optimal Price Point):
  TC (Too Cheap) ∩ TE (Too Expensive) intersection
  → Minimum purchase resistance = optimal price

IPP (Indifference Price Point):
  C (Cheap) ∩ E (Expensive) intersection
  → Equal proportion cheap/expensive = market expected price

PME (Point of Marginal Expensiveness):
  C (Cheap) ∩ TE (Too Expensive) intersection
  → Above this price, churn increases sharply

Acceptable Price Range: PMC to PME

Gabor-Granger Supplementary Analysis

PSM Limitation: May differ from actual purchase intent

Gabor-Granger Question:
  "Would you purchase this product at [Price X]?" (Yes/No)
  → Repeat while varying price (from high to low or low to high)

Demand Curve Derivation:
  "Yes" percentage by price → Demand curve
  Revenue-maximizing price = Price x Purchase intent rate at maximum point

| Price  | Purchase Intent | Expected Revenue (per 100 people) |
|--------|----------------|----------------------------------|
| $10    | 90%            | $900                             |
| $20    | 70%            | $1,400 ← Maximum                |
| $30    | 40%            | $1,200                           |
| $40    | 15%            | $600                             |

Segment-Based PSM Analysis

Segment Classification Criteria:
  1. Company Size (SMB / Mid-Market / Enterprise)
  2. Use Case (Personal / Professional / Team)
  3. Existing Solution (New / Switching)
  4. Price Sensitivity Level (Low / High)

OPP Comparison by Segment:
| Segment    | PMC  | OPP  | IPP  | PME  |
|-----------|------|------|------|------|
| SMB       | $50  | $80  | $100 | $150 |
| Enterprise| $200 | $350 | $500 | $800 |

→ Basis for segment-based price differentiation

Pricing Structure Design Integration

PSM Results → Plan Design:

1. Free/Freemium: Below PMC
   → Quality-suspect price = remove entry barrier with free

2. Starter: PMC to OPP
   → Minimum price to optimal price

3. Professional: OPP to IPP
   → Optimal to market expected price

4. Enterprise: IPP to PME
   → Market expected to maximum acceptable price
   → Justified by additional value (support, SLA, customization)

PSM Report Template

markdown
## Price Sensitivity Analysis (PSM)

### Survey Overview
- Target: [Target customer description]
- Respondents: [N] people
- Survey Period: [Period]

### Key Price Points
| Point | Price | Meaning |
|-------|-------|---------|
| PMC | [$] | Minimum acceptable price |
| OPP | [$] | Optimal price |
| IPP | [$] | Market expected price |
| PME | [$] | Maximum acceptable price |

### Acceptable Price Range: [PMC] to [PME]
### Recommended Price: [OPP-based recommendation]

### Segment Analysis
[Segment-specific table]

### Pricing Structure Recommendation
[Plan-specific price proposals]

© revfactory, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in en/50-pricing-strategy/.claude/skills/psm-analyzer of revfactory/harness-100.

Open the folder on GitHubat commit 8e8d35c

Compare with similar skills

Psm Analyzer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Psm Analyzer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Psm Analyzer this skillrevfactory/harness-1001.3k—~1.3kAutomated safety check: PassApache-2.0
Pricing Strategyfreekmurze/dotfiles1k17 repos~1.6kAutomated safety check: PassNone
Profit Margin Calculator Amazonnexscope-ai/eCommerce-Skills1.1k—~1.7kAutomated safety check: PassMIT
Niche Opportunity Finderzanecole10/software-tailor-skills104—~4.2kAutomated safety check: PassNone
Pricing Strategyalirezarezvani/claude-skills28k1 repos~3.5kAutomated safety check: PassMIT
Software Pricing Calculatorzanecole10/software-tailor-skills104—~3.7kAutomated safety check: PassNone

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Categories

Questions about Psm Analyzer

What does Psm Analyzer do?

A Van Westendorp PSM (Price Sensitivity Meter) methodology for price sensitivity analysis. Psm Analyzer is an agent skill from revfactory/harness-100. A Van Westendorp PSM (Price Sensitivity Meter) methodology for price sensitivity analysis.

When should I use Psm Analyzer?

Psm Analyzer fits situations like: price sensitivity; price acceptance range; willingness to pay analysis; other price sensitivity research needs.

How do I install Psm Analyzer in Claude Code?

Run `npx skills add revfactory/harness-100 --skill psm-analyzer -a claude-code`. Or copy the skill folder (en/50-pricing-strategy/.claude/skills/psm-analyzer in revfactory/harness-100) into .claude/skills/psm-analyzer in your project. Claude Code loads it when a task matches its description.

How do I install Psm Analyzer in Codex?

Run `npx skills add revfactory/harness-100 --skill psm-analyzer -a codex`. Or copy the skill folder (en/50-pricing-strategy/.claude/skills/psm-analyzer in revfactory/harness-100) into .agents/skills/psm-analyzer in your project. Codex loads it when a task matches its description.

Can I use Psm Analyzer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add revfactory/harness-100 --skill psm-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/psm-analyzer, .gemini/skills/psm-analyzer, .github/skills/psm-analyzer and .opencode/skills/psm-analyzer in your project.

What does Psm Analyzer need to run?

SKILL.md names no scripts, command-line tools or credentials: Psm Analyzer is instructions for the agent only.

Does Psm Analyzer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Psm Analyzer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Psm Analyzer use?

Psm Analyzer is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Psm Analyzer use?

About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Psm Analyzer?

Skills that share tags, products or a category with Psm Analyzer: Pricing Strategy (freekmurze/dotfiles, 1k stars), Profit Margin Calculator Amazon (nexscope-ai/eCommerce-Skills, 1.1k stars), Niche Opportunity Finder (zanecole10/software-tailor-skills, 104 stars) and Pricing Strategy (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Psm Analyzer?

revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.

Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.