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Pmf Analyzer

Checked
jmsktm·vlatest·other

The Pmf Analyzer calculates probabilities from textual data, offering insights into frequency and potential outcomes for analysis & decision-making.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it PMF Analyzer, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add jmsktm/claude-settings --skill "PMF Analyzer" -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jmsktm

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned jmsktm/claude-settings at c113b0d7e1.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
c113b0d7e1
Manifest
skills/pmf-analyzer/SKILL.md
Scanned
1 file, 128 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The PMF Analyzer skill helps you analyze Product Market Fit (PMF) data. It can process raw survey responses and calculate a PMF score based on user feedback. This allows users to quantify their progress toward product market fit and identify areas for improvement.

When to use it

  • You've conducted a customer survey asking about likelihood to recommend your product.
  • You want to understand how close you are to achieving Product Market Fit (PMF).
  • You need help interpreting raw survey data and calculating a PMF score.
  • You’re looking for insights into which aspects of your product resonate most with users.

Key capabilities

  • Calculates a PMF score from user feedback.
  • Processes raw survey responses.
  • Identifies areas for product improvement based on analysis.

Example prompts

  • "Analyze this survey data and calculate the PMF score: [paste survey results]"
  • "What is my Product Market Fit score based on these responses?"
  • "Can you identify any trends in this user feedback regarding feature X?"

Tips & gotchas

The skill requires raw, unprocessed survey response data as input. The format of the data will impact accuracy; ensure it's clear and consistent for best results.