pmf-survey

pmf-survey is a skill for Claude Code from pmprompt/claude-plugin-product-management. It costs 95 tokens per session (626 once invoked), scanned A, original, MIT.

A survey method for measuring product-market fit, meaning how strongly a product meets a real need in its target market. It asks users how disappointed they would be if they could no longer use the product.

In plain words
What is it for?
Use it to collect and interpret product-market-fit responses, identify what users value, and guide product improvements.
Why use it?
It gives teams a consistent signal about whether users depend on the product and which improvements may increase that dependence.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the pmprompt plugin — 28 skills, 9 commands shipped together

Good fit Use it to collect and interpret product-market-fit responses, identify what users value, and guide product improvements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pmprompt/claude-plugin-product-management/pmf-survey
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 pmprompt/claude-plugin-product-management --skill pmf-survey
Clone the repo
git clone --depth 1 https://github.com/pmprompt/claude-plugin-product-management

Made for: Claude Code.

Or install pmprompt, the plugin that ships this one along with the rest of its 28 skills, 9 commands.

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 pmf-survey

README.md
[![agentmods](https://agentmods.dev/badge/skills/pmprompt/claude-plugin-product-management/pmf-survey/github.svg)](https://agentmods.dev/skills/pmprompt/claude-plugin-product-management/pmf-survey)
Your own site
<a href="https://agentmods.dev/skills/pmprompt/claude-plugin-product-management/pmf-survey"><img src="https://agentmods.dev/badge/skills/pmprompt/claude-plugin-product-management/pmf-survey/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 pmf-survey

Your own site · 80×15
<a href="https://agentmods.dev/skills/pmprompt/claude-plugin-product-management/pmf-survey"><img src="https://agentmods.dev/badge/skills/pmprompt/claude-plugin-product-management/pmf-survey.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 626 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. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk pass 8 Mar 2026
How audits are shown
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 $0.00095 $0.00626
Opus 5 $0.00048 $0.00313
Sonnet 5 $0.00019 $0.00125
Haiku 4.5 $0.00010 $0.00063

Measured 12d ago against content hash 6364c3245ba8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

pmf-survey 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

Copies of this mod

1 near-identical copy found in the catalogue:

skills/pmf-survey/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Domain Context

This skill implements a proven product management framework. The approach combines best practices from industry leaders and is designed for practical application in day-to-day PM work.

Input Requirements

  • Context about your product, feature, or problem
  • Relevant data, research, or constraints (recommended but optional)
  • Clear articulation of what you're trying to achieve

PMF Survey (Product-Market Fit Survey)

What It Is

The PMF Survey is a method to measure and systematically improve product-market fit. The core insight: you can put a number on product-market fit, and you can use that number to write your roadmap.

The key question: "How would you feel if you could no longer use this product?"

  • Very disappointed - "I'd be devastated. I need this."
  • Somewhat disappointed - "I'd be bummed but I'd find something else."
  • Not disappointed - "I wouldn't really care."

Sean Ellis discovered that companies with 40% or more "very disappointed" responses almost always grew successfully, while those under 40% struggled. This benchmark has held across thousands of companies.

Rahul Vohra at Superhuman took this further: he built an engine that uses survey responses to algorithmically generate a roadmap guaranteed to increase PMF score.

When to Use It

Use the PMF Survey when you need to:

  • Quantify product-market fit before making major investment decisions
  • Decide whether to pivot or double down
  • Prioritize your roadmap based on what will actually move the needle
  • Identify your best customer segment (who loves you most)
  • Track PMF over time as you iterate
  • Make the case to investors with data, not gut feeling

When Not to Use It

  • You have fewer than 30 active users (sample too small)
  • Users haven't had enough time to experience value (survey too early)
  • The product is employer-mandated (users had no choice)
  • You want to validate a hypothesis without building (use JTBD instead)

Read the full file on GitHub · 65 lines

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 · 65 lines · 95 tokens per session scan A 6364c3245ba8

Subscribe to this mod's changes

pmf-survey is a skill published in the GitHub repository pmprompt/claude-plugin-product-management (49 stars, last pushed 6mo ago), licensed MIT. It adds 95 tokens to every session and 626 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 2026-08-30.

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