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Input Validation Sanitization Auditor

Checked
patricio0312rev·vlatest·security·MIT

This agent rigorously validates, sanitizes, and audits user inputs to prevent security vulnerabilities and data corruption.

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 patricio0312rev/skills --skill input-validation-sanitization-auditor -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

patricio0312rev

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 patricio0312rev/skills at 79ea6af485.

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

Commit
79ea6af485
Manifest
security/input-validation-sanitization-auditor/SKILL.md
Scanned
1 file, 71 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

The input-validation-sanitization-auditor skill provides a framework for auditing and validating user inputs to ensure data integrity and security within AI agent workflows. It focuses on identifying potential vulnerabilities in how agents process external data before executing critical operations.

When to use it

  • Before deploying an AI agent that processes untrusted data from public sources or user forms.
  • During the development phase to establish baseline security protocols for input handling.
  • When integrating new third-party APIs that require strict sanitization rules.
  • To audit existing workflows for potential injection attacks or malformed data entry.

Key capabilities

  • Automated validation of incoming data streams against defined schema rules.
  • Sanitization checks to remove malicious scripts or harmful characters.
  • Comprehensive auditing reports highlighting input vulnerabilities.
  • Real-time feedback mechanisms for correcting invalid user submissions.

Example prompts

  • "Run a full audit on the current input pipeline for any potential SQL injection risks."
  • "Validate this batch of user-generated content against our new sanitization policy."
  • "Generate a report detailing all failed validation attempts in the last 24 hours."

Tips & gotchas

Ensure your agent has clear definitions of valid input formats before running audits to avoid false positives. Regularly update validation rules as threat landscapes evolve to maintain robust security posture.