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Generate Acceptance Test

Checked
knowlet·vlatest·testing

Helps with code generation, testing as part of agent workflows workflows.

Repository

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 knowlet/pf-skills --skill generate-acceptance-test -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

knowlet

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 knowlet/skills at 38f81eca46.

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

Commit
38f81eca46
Manifest
skills/generate-acceptance-test/SKILL.md
Scanned
6 files, 1,998 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 generates acceptance tests. It allows users to define test scenarios and expected outcomes, which are then translated into structured acceptance test cases. The generated tests can be used to verify software functionality against predefined requirements.

When to use it

  • Automated Testing: Generate initial test suites for new features or components.
  • Requirement Validation: Quickly create tests based on user stories or functional specifications.
  • Regression Testing: Ensure existing functionality remains intact after code changes.
  • Test Case Documentation: Create clear and concise documentation of expected system behavior.

Key capabilities

  • Generates acceptance test cases.
  • Based on provided scenarios and outcomes.
  • Supports structured test case creation.

Example prompts

  • "Generate an acceptance test for a user login feature, ensuring that valid credentials grant access and invalid credentials display an error."
  • "Create tests to verify the shopping cart functionality: adding items, removing items, calculating totals."
  • "Write acceptance tests based on this user story: 'As a customer, I want to be able to reset my password.'"

Tips & gotchas

The quality of generated tests depends heavily on the clarity and completeness of the provided scenarios. Provide detailed descriptions of expected behavior for optimal results.