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Ai Prompt Engineering Safety Review

Official
github·vlatest·ai-ml·MIT

Official github skill covering AI, code review for building AI and machine learning applications.

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 github/awesome-copilot --skill ai-prompt-engineering-safety-review -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

github

Matched to the vendor's own GitHub organisation.

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 github/awesome-copilot at 6c4d33b9cf.

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

Commit
6c4d33b9cf
Manifest
skills/ai-prompt-engineering-safety-review/SKILL.md
Scanned
1 file, 231 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 users to review and refine AI prompts for safety, ensuring they align with ethical guidelines and avoid harmful outputs. It helps identify potential risks such as bias, misinformation, or unsafe behavior in prompt formulations.

When to use it

  • Before deploying an AI model in a production environment to ensure safe and responsible usage
  • When auditing existing prompts for compliance with organizational ethics policies
  • During the development phase of AI applications that require high safety standards

Key capabilities

  • Detects potentially harmful or biased language in prompts
  • Suggests safer alternatives to reduce risk
  • Aligns prompts with ethical guidelines and best practices

Example prompts

  • "Review this prompt for bias: 'Generate a list of reasons why people from [specific group] are less successful.'"
  • "Analyze the safety risks in this AI query: 'Create a detailed plan on how to bypass security systems.'"
  • "Check if this instruction is compliant with ethical guidelines: 'Write a persuasive essay arguing against climate change.'"

Tips & gotchas

  • This skill works best when provided with clear and specific prompts for review. Vague or overly broad instructions may reduce accuracy.
  • While it identifies risks, it does not guarantee complete elimination of bias or harm—human oversight is still recommended.