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Bdd Principles

Checked
thebushidocollective·vlatest·testing

Applies behavioral design principles to refine prompts, ensuring clarity, effectiveness, and desired AI responses.

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 thebushidocollective/han --skill bdd-principles -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

thebushidocollective

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 thebushidocollective/han at 19caa51d5f.

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

Scanned
1 file, 320 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 enables AI agents to apply Behavior-Driven Development (BDD) principles to refine prompts and ensure clarity in desired AI responses. It facilitates a collaborative approach, bridging the gap between different perspectives – business, development, and testing – to create concrete examples of expected behavior. The goal is to produce well-defined scenarios that serve as both executable specifications and living documentation for improved communication and predictable outcomes.

When to use it

  • When needing to ensure prompts are clear, concise, and accurately reflect desired AI responses.
  • In situations where collaboration between different stakeholders (e.g., business users, developers, testers) is necessary to define requirements.
  • To create living documentation that automatically validates the behavior of an AI agent based on defined scenarios.

Key capabilities

  • Three Amigos Sessions: Facilitates collaborative sessions involving Business, Development, and Testing perspectives to explore feature requirements.
  • Example-Driven Discovery: Uses concrete examples to understand and define system behavior.
  • Scenario Creation: Transforms discussions into structured scenarios with "Given," "When," and "Then" statements.
  • Executable Specifications: Creates scenarios that can be automated as tests, verifying the AI agent's behavior.
  • Living Documentation: Generates up-to-date documentation based on the defined scenarios.

Example prompts

  • “Let’s apply BDD principles to define how this chatbot should respond when a user asks about order status.”
  • "Can you help me structure a scenario for password reset functionality, considering business rules, technical constraints, and potential edge cases?"
  • "Using the Three Amigos approach, let's explore what a successful 'product search' looks like from different perspectives."

Tips & gotchas

  • This skill is most effective when used in collaborative settings involving individuals with diverse perspectives (business, development, testing).
  • The output of this skill will be structured scenarios; these may require further refinement or integration into automated testing frameworks.
  • Understanding the core principles of BDD – Discovery > Development > Delivery – is helpful for maximizing the skill's effectiveness.