Skip to content
TrustedSkillsbeta
Back to all skills

Didit Database Validation

Listed
didit-protocol·vlatest·database·MIT

Helps with database, validation as part of working with databases and data persistence workflows.

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 didit-protocol/skills --skill didit-database-validation -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

didit-protocol

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: verification.didit.me.

    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

    verification.didit.meundeclared

    What it found

    • skills/didit-database-validation/SKILL.md:139contacts verification.didit.me
      const response = await fetch("https://verification.didit.me/v3/database-validation/", {
    • skills/didit-database-validation/scripts/validate_database.py:31contacts verification.didit.me
      ENDPOINT = "https://verification.didit.me/v3/database-validation/"

  • 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 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 didit-protocol/didit-agent-skills at 408979a9b2.

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

Commit
408979a9b2
Manifest
skills/didit-database-validation/SKILL.md
Scanned
2 files, 366 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 validates data within a database, ensuring accuracy and consistency. It can check for missing values, invalid formats (like incorrect date patterns), and adherence to predefined rules or constraints. The validation process helps identify errors before they propagate further in workflows or impact downstream applications.

When to use it

  • Data Migration: Validate the integrity of data after migrating from one database system to another.
  • ETL Processes: Ensure data quality during extract, transform, and load (ETL) operations.
  • Reporting & Analytics: Guarantee the reliability of reports generated from validated data.
  • Regulatory Compliance: Verify that databases meet specific regulatory requirements for data accuracy.

Key capabilities

  • Data validation against predefined rules
  • Format checking (e.g., date, email)
  • Missing value detection
  • Constraint adherence verification

Example prompts

  • "Validate the 'customers' table in my database and report any errors."
  • "Check if all dates in the 'orders' table are in YYYY-MM-DD format."
  • "Verify that the 'email' field in the 'users' table contains valid email addresses."

Tips & gotchas

The skill requires access to the target database and appropriate permissions for querying and validation. Ensure you provide the correct connection details (database type, hostname, credentials) when using this skill.