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Validation Standards

Checked
bejranonda·vlatest·security

Ensures content adheres to specified validation standards (e.g., legal, ethical, accessibility) based on bejranonda's defined rulesets.

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 bejranonda/llm-autonomous-agent-plugin-for-claude --skill validation-standards -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

bejranonda

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 bejranonda/llm-autonomous-agent-plugin-for-claude at d7c47f644e.

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

Commit
d7c47f644e
Manifest
skills/validation-standards/SKILL.md
Scanned
1 file, 543 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 allows an AI agent to assess data or processes against predefined validation standards. It can check if a dataset conforms to specific quality metrics, verify code adheres to coding style guides, or ensure documents meet regulatory requirements. The agent can identify deviations and suggest remediation steps based on the applied standard.

When to use it

  • Data Quality Assurance: Verify that newly ingested data meets expected formats and completeness criteria before analysis.
  • Code Review Automation: Automatically check code submissions against established coding standards and best practices.
  • Compliance Verification: Ensure documents or processes comply with industry regulations (e.g., HIPAA, GDPR).
  • Content Validation: Confirm that generated content adheres to brand guidelines or specific writing styles.

Key capabilities

  • Standard Definition: Ability to define custom validation standards.
  • Automated Assessment: Automatically evaluates data/code/documents against defined standards.
  • Deviation Reporting: Identifies and reports deviations from the specified standard.
  • Remediation Suggestions: Provides recommendations for correcting identified issues.

Example prompts

  • "Check this dataset [dataset link] against the 'customer_data_quality' validation standard."
  • "Review this Python code [code snippet] for adherence to PEP 8 coding style."
  • "Validate this document [document link] against GDPR compliance requirements."

Tips & gotchas

To get the most accurate results, ensure the validation standards are clearly defined and specific. The skill's effectiveness depends heavily on the quality of the provided standards; poorly defined standards will lead to inaccurate assessments.