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Sql Injection Prevention

Checked
aj-geddes·vlatest·security·MIT

This SQL Injection Prevention skill safeguards databases by detecting and blocking malicious SQL code, ensuring data integrity and security.

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 sql-injection-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/sql-injection-prevention/SKILL.md
Scanned
7 files, 578 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 instructs AI agents to automatically detect and sanitize SQL queries before execution, preventing malicious input from altering database behavior. It ensures that user-supplied data is treated strictly as literal strings rather than executable code within your database schema.

When to use it

  • Integrating with web forms or APIs where untrusted user input is processed by backend databases.
  • Building dynamic reporting tools that construct queries based on real-time search parameters.
  • Securing legacy applications that rely on string concatenation for query building.
  • Automating security audits to identify potential vulnerabilities in generated database scripts.

Key capabilities

  • Identifies unsafe SQL patterns prone to injection attacks.
  • Sanitizes input data by escaping special characters and quotes.
  • Replaces vulnerable string concatenation with safe parameterized queries.
  • Validates query structures against known secure standards.

Example prompts

  • "Review this Python function that builds a user login query and rewrite it to prevent SQL injection."
  • "Generate a secure SQL statement for retrieving customer records based on the following untrusted search term: 'John O''Brien'."
  • "Audit this Node.js code snippet for database interactions and suggest parameterized alternatives."

Tips & gotchas

Ensure your AI agent has access to the specific database dialect (e.g., MySQL, PostgreSQL) being used, as syntax rules vary. This skill is a defense layer; it should be combined with principle of least privilege database accounts for maximum security.