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Output Sanitizer

Checked
useai-pro·vlatest·other·MIT

The Output Sanitizer removes potentially harmful or unwanted content from generated text, ensuring safer and more reliable outputs.

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 useai-pro/openclaw-skills-security --skill output-sanitizer -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

useai-pro

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 useai-pro/openclaw-skills-security at 4645f2d047.

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

Commit
4645f2d047
Manifest
skills/output-sanitizer/SKILL.md
Scanned
1 file, 150 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

The Output Sanitizer skill removes potentially harmful or inappropriate content from AI agent outputs. It filters for profanity, personally identifiable information (PII), and other undesirable elements to ensure safer and more compliant responses. This helps maintain brand safety and protect user privacy when using AI agents in various applications.

When to use it

  • Customer Service Chatbots: Filter out offensive language or sensitive data revealed by customers.
  • Content Generation Tools: Clean up generated text for blog posts, articles, or marketing materials.
  • Internal Knowledge Bases: Ensure responses from AI-powered internal tools are appropriate and compliant with company policies.
  • Educational Applications: Moderate student interactions and content to maintain a safe learning environment.

Key capabilities

  • Profanity filtering
  • PII (Personally Identifiable Information) redaction
  • Customizable filter lists
  • Content scoring based on risk level

Example prompts

  • "Sanitize this response: [AI agent output]"
  • "Please remove any PII from the following text: [text containing personal data]"
  • "Filter this for profanity and inappropriate content: [user-generated content]"

Tips & gotchas

The effectiveness of the skill depends on the quality and comprehensiveness of its filter lists. Regularly update these lists to address new forms of harmful content or evolving privacy regulations.