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Sql Injection Anti Pattern

Checked
igbuend·vlatest·security·MIT

Detects SQL injection vulnerabilities by identifying suspicious code patterns, safeguarding databases from malicious attacks and data breaches.

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 igbuend/grimbard --skill sql-injection-anti-pattern -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

igbuend

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 igbuend/grimbard at cde088f5d7.

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

Commit
cde088f5d7
Manifest
skills/sql-injection-anti-pattern/SKILL.md
Scanned
1 file, 83 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 identifies and flags SQL injection anti-patterns in user prompts. It helps prevent malicious code from being injected into database queries, safeguarding sensitive data. The skill analyzes prompt inputs to detect potential vulnerabilities related to SQL injection attacks.

When to use it

  • When an AI agent needs to construct SQL queries based on user input.
  • In applications where users can influence the structure of database queries.
  • To proactively identify and mitigate risks associated with dynamic SQL generation.
  • During development or testing phases when assessing security vulnerabilities in AI-powered database interactions.

Key capabilities

  • SQL injection anti-pattern detection
  • Prompt analysis for vulnerability assessment
  • Malicious code identification within prompts
  • Database query risk mitigation

Example prompts

  • "Generate a SQL query to find all users with the name 'John'."
  • "Create a database request based on this user input: 'username; DROP TABLE users;'"
  • "Build an SQL statement using the following criteria provided by the user."

Tips & gotchas

The skill's effectiveness relies on accurate prompt analysis. Ensure that prompts intended for query generation are clearly identified to allow proper assessment and mitigation of potential SQL injection risks.