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Form Cro

Checked
jwtappert·vlatest·marketing·MIT

Form Cro automatically extracts key data from forms, streamlining workflows and saving valuable time for marketers.

Install on your platform

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

  1. 1

    Run this in your project

    terminal
    $ npx skills add jwtappert/marketingskills --skill form-cro -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

jwtappert

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 jwtappert/marketingskills at e7712e337e.

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

Scanned
1 file, 423 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

This skill, jwtappert-form-cro, allows AI agents to interact with and process data from forms. It can extract information from submitted form fields, potentially enabling automated workflows or data analysis based on user input. The specific details of the supported form types are not provided in the source content.

When to use it

  • Automating lead capture: Extract contact information from website forms and add leads directly to a CRM.
  • Survey analysis: Process responses from online surveys to identify trends and insights.
  • Application processing: Automatically extract data from job applications or other application forms.
  • Data entry automation: Populate databases with information gathered through web forms.

Key capabilities

  • Form Data Extraction
  • Integration (implied, but not specified)

Example prompts

  • "Extract the name and email address from this form submission: [form data]"
  • "Process these survey responses and summarize the key themes."
  • "Populate the 'applicants' database with the information from this job application form."

Tips & gotchas

The source content does not specify supported form types or any limitations. It is recommended to test the skill with representative forms before deploying it in a production environment.