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    Database Seed Reliability Skill

    1

    Find why database seeds fail and get targeted fixes and checks for safer reruns.

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    Database Seed Reliability Skill

    Database Seed Reliability Skill

    Example session with this skill installed

    SQLite schema: roles(name TEXT UNIQUE). Seed: INSERT INTO roles VALUES('admin'); Review rerun safety, suggest a fix, and give SQL verification checks.

    • Read your context and instructions
    • Compiled the database seed reliability

    The insert is not safe to rerun: an existing admin row causes a unique-constraint failure. Below is a targeted fix and a rollback-based verification test, not an executed result.

    Seed Reliability Summary

    SeverityFindingEffect
    HighPlain insert repeats a unique nameRerun fails if admin exists

    Ordering and Dependencies

    The roles table must exist first. No foreign keys or other dependencies were supplied.

    Duplicate and Conflict Findings

    The conflict is with an existing admin value, not evidence of duplicate rows already stored.

    Environment Findings

    No environment configuration was supplied. The correction requires SQLite 3.24.0 or later for UPSERT syntax.

    Repeatability Analysis

    The original insert is not repeatable. Ignoring a conflict on name is appropriate if an existing admin row should remain unchanged.

    Recommended Changes

    Use an explicit column and targeted conflict handling:

    INSERT INTO roles(name) VALUES('admin')
ON CONFLICT(name) DO NOTHING;

    Verification Commands

    Run in a test database

    BEGIN;
INSERT INTO roles(name) VALUES('admin')
ON CONFLICT(name) DO NOTHING;
INSERT INTO roles(name) VALUES('admin')
ON CONFLICT(name) DO NOTHING;
SELECT COUNT(*) AS admin_count
FROM roles WHERE name = 'admin';
ROLLBACK;

    Expected: both inserts succeed and admin_count is 1. Rollback leaves the pre-test data unchanged.

    Execution Checklist

    Next steps

    • Confirm the SQLite version and intended conflict behavior.
    • Replace the original insert with the correction.
    • Run the test on both an empty and a populated roles table.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Seed scripts that work once can fail on the next run or in a different environment. Get a review of likely failures, practical corrections, and checks to confirm the results.

    What it does

    • Checks execution order: Finds missing parent records, foreign-key dependencies, and reliance on existing data.
    • Finds duplicate conflicts: Separates repeated records from intentional references and unique-key collisions.
    • Reviews rerun safety: Examines what happens when seeds run twice or restart after a partial failure.
    • Checks environment risks: Flags hard-coded IDs, missing configuration, and differences between local, test, and CI setups.
    • Provides fixes and checks: Recommends targeted changes and verification commands when enough context is available.

    How it works

    1. Share your seed scripts, relevant schema, and database or framework details.
    2. Add execution commands, error logs, and expected results if available.
    3. Receive findings, suggested corrections, verification steps, and an execution checklist.

    Works with

    Supplied SQL seed scripts, database schemas, framework seed files, package scripts, environment configuration, and CI/CD workflows. Recommendations depend on the database engine and tools you provide.

    Why use this skill

    Review ordering, duplicates, and rerun behavior together instead of troubleshooting each failed run separately. Findings distinguish confirmed problems from possible risks, so you can focus changes where the evidence supports them.

    Use cases

    • Diagnose foreign-key errors during initial setup.
    • Prevent duplicate-key failures when reseeding test data.
    • Investigate seeds that pass locally but fail in CI.
    • Plan recovery after a partially completed seed run.

    Known limitations

    Missing schema or environment details can limit the review. Executable verification commands require enough information about your database and tooling.

    Requires supplied scripts and relevant schema for a meaningful review. Executable verification commands depend on knowing the database engine and tooling.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed1 month ago

    What's inside

    Frequently Asked Questions

    This skill identifies the root causes of seed failures—such as foreign-key violations, unique-key conflicts, and lack of idempotency—providing specific code corrections and verification commands to ensure your data populates reliably every time.

    The skill is compatible with SQL scripts, major database engines (PostgreSQL, MySQL, etc.), and framework-specific seeders like those found in Rails, Laravel, or Django. It works best when you provide both the seed file and the corresponding table schema.

    Yes, one of the core features is 'rerun safety,' where the skill analyzes your scripts to see if they can survive a partial failure or a second execution without causing duplicate errors or data corruption.

    You will receive full access to the AI agent skill, including the logic for diagnosing script dependencies, environment-specific risk checklists, and a structured workflow for generating verification queries.

    While the skill can analyze scripts without a schema, providing your table definitions (DDL) allows the agent to accurately identify foreign-key dependencies and unique constraints that are often the hidden cause of seed failures.

    New in Data & Databases