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Qa Test Planner

Checked
davila7·vlatest·testing·MIT

Davila7's davila7-qa-test-planner generates comprehensive test plans from requirements documents, ensuring thorough software quality assurance.

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 davila7/claude-code-templates --skill qa-test-planner -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

davila7

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 davila7/claude-code-templates at 79182c51fb.

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

Commit
79182c51fb
Manifest
cli-tool/components/skills/ai-research/qa-test-planner/SKILL.md
Scanned
8 files, 3,145 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

The QA Test Planner skill helps AI agents generate structured test plans, define test cases, and outline execution strategies for software projects. It transforms vague project descriptions into actionable quality assurance roadmaps with clear pass/fail criteria.

When to use it

  • You need a comprehensive testing strategy before starting development on a new feature.
  • Your team requires standardized documentation to ensure consistent manual or automated testing approaches.
  • You want an AI agent to identify potential edge cases and risk areas in a specific application logic.
  • You are preparing for a code review or sprint planning session that includes quality assurance deliverables.

Key capabilities

  • Generates detailed test plans based on provided project requirements or user stories.
  • Creates specific test cases with clear input data, expected outputs, and validation steps.
  • Organizes testing activities into logical phases such as unit, integration, and system testing.

Example prompts

  • "Create a test plan for a new e-commerce checkout flow including edge cases for payment failures."
  • "Generate 5 specific test cases for a user login feature that handles invalid credentials and session timeouts."
  • "Outline a QA strategy for a mobile app update focusing on battery usage and crash reporting."

Tips & gotchas

Ensure you provide the AI with sufficient context about the application's architecture or business rules to generate accurate test scenarios. The output is a planning document; it does not execute tests or write actual code scripts.