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Xss Prevention

Checked
aj-geddes·vlatest·security·MIT

Xss Prevention safeguards against cross-site scripting attacks by filtering malicious code from user inputs, ensuring website security and data integrity.

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 aj-geddes/useful-ai-prompts --skill xss-prevention -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

aj-geddes

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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Commit
3f5182cfd7
Manifest
skills/xss-prevention/SKILL.md
Scanned
6 files, 602 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 equips AI agents to identify and neutralize Cross-Site Scripting (XSS) vulnerabilities within web applications. It scans input fields, URLs, and output contexts to detect malicious scripts before they can execute or compromise user data.

When to use it

  • Securely processing untrusted user inputs in forms or search bars.
  • Validating data before rendering it on dynamic web pages.
  • Auditing codebases for potential injection flaws during development.
  • Hardening APIs that accept external payloads or parameters.

Key capabilities

  • Detects script tags and event handler attributes (e.g., onclick, onerror).
  • Identifies dangerous characters like <, >, ", ', and &.
  • Flags encoded obfuscation techniques used to bypass filters.
  • Provides recommendations for sanitization or encoding strategies.

Example prompts

  • "Analyze this HTML snippet for XSS vulnerabilities: <img src=x onerror=alert(1)>"
  • "How should I sanitize user input from a comment form before storing it in the database?"
  • "Review these API request parameters and highlight any potential injection risks."

Tips & gotchas

Ensure the AI agent has access to the specific context of where data is being rendered (e.g., HTML vs. JavaScript) for accurate vulnerability assessment. While this skill identifies risks, it does not automatically patch code; manual review or integration with dedicated security libraries is often required for full protection.