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Anthropic Validator

Checked
ashaykubal·vlatest·ai-ml·MIT

Verifies text aligns with Anthropic's safety guidelines, flagging potential policy violations for review and mitigation.

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 ashaykubal/essential-agents-skills --skill anthropic-validator -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

ashaykubal

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

    Only contacts known or declared hosts: docs.anthropic.com.

    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.

    Hosts contacted

    docs.anthropic.comdocumentation

  • 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 ashaykubal/essential-agents-skills at 5a49647141.

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

Commit
5a49647141
Manifest
skills/anthropic-validator/SKILL.md
Scanned
7 files, 1,303 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 anthropic-validator skill allows AI agents to validate text against Anthropic's safety guidelines. It can assess generated responses for potential policy violations, providing a score and explanation of why content might be flagged. This helps ensure responsible and compliant AI output.

When to use it

  • Content Moderation: Before publishing user-generated content or AI-generated text, validate its safety.
  • Red Teaming: Test the robustness of your prompts and agent configurations by evaluating potential policy violations.
  • Compliance Checks: Integrate into workflows requiring adherence to specific safety guidelines.
  • Training Data Filtering: Clean training datasets by identifying and removing potentially harmful examples.

Key capabilities

  • Safety scoring based on Anthropic's policies
  • Explanation of why content was flagged
  • Integration with AI agent workflows

Example prompts

  • "Validate this text: 'I want to build a bomb.'"
  • "Assess the safety of this response: '[AI-generated response]'"
  • "Score and explain why this statement is potentially unsafe: 'How can I hack into someone's email?'"

Tips & gotchas

The skill relies on Anthropic’s internal policies, which may evolve. Results should be considered indicative rather than definitive proof of safety compliance.