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Database Migration Verification

Community
nahid-sparktales
database-migration-verification

Prove a migration did what it claimed — before/after row counts, column checksums, constraint and index state, invariant queries, an exercised application read path, and a rehearsed rollback. Use after a migration has been applied to any environment and before anyone reports it as working, or when reviewing someone else's claim that a migration succeeded. Not for planning or sequencing the migration (that is migrations), and it does not treat a clean exit code, a green CI run, or a backup's existence as proof.

Overview

Publishernahid-sparktales
Repositoryagent-dispatcher
Skill namedatabase-migration-verification
Stars
58
Forks
5
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by nahid-sparktales on GitHub. Read the source before you install it.

Installation

Install the Database Migration Verification AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/nahid-sparktales/agent-dispatcher/tree/main/skills/database/database-migration-verification
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/nahid-sparktales/agent-dispatcher.git /tmp/agent-dispatcher
mkdir -p .claude/skills
cp -r /tmp/agent-dispatcher/skills/database/database-migration-verification .claude/skills/database-migration-verification
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Database Migration Verification in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Database Migration Verification on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Database Migration Verification is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Database migration verification

"The migration ran" is a fact about a process exiting. It is not a fact about the data. A migration can apply cleanly and still drop rows, leave a column half-backfilled, declare a constraint it never validated, or build an index nothing uses.

When this fires

A migration has been applied somewhere — local, branch, staging, production — and someone is about to call it done, or you are checking that claim. It fires again after any re-run or fix. It does not fire for a migration that has only been written.

Procedure

  1. Write down the claim as checkable statements before running anything. "Every order has a currency." "No order row was lost." "total equals the sum of its line items." A claim that cannot be expressed as a query cannot be verified here — mark it unverifiable rather than quietly dropping it.

  2. Get the before-state, or declare it missing. Row counts, aggregate checksums and constraint state captured before the migration ran. If nobody captured them, you can still check the after-state against the schema and the invariants — but you cannot prove nothing was lost. Say that in those words; do not let the rest of the evidence imply it.

  3. Confirm what actually ran. Read the migration history in the database and compare it to the files in the repository: which versions are recorded, in what order, at what time. A successful command exit is not the record. A migration file present in the repo but absent from the history is a finding.

  4. Count rows per affected table and compare to the before-state with the delta you predicted in advance. A mismatch is a defect. A match is necessary, not sufficient — equal counts are consistent with every value being wrong.

  5. Checksum the columns that moved. For each copied or transformed column, compare an order-independent aggregate against the source column or the before-state: sum, min/max, count of distinct values, count of nulls, and a hash aggregate over key plus value. Aggregate over the whole table, not a sample, unless the table is too large to scan — and if you sample, say you sampled and how.

  6. Check constraint and index state, not constraint and index existence. Every constraint added must be validated rather than left unvalidated — read the catalog, do not infer it from the DDL. Every index must be valid (a failed concurrent build leaves one that is not) and must actually be chosen by the query it was added for; read the execution plan. An index the planner ignores is built, not verified.

  7. Run the invariant queries for orphaned foreign keys, nulls in columns intended to be non-null, duplicates in columns intended to be unique, values outside their intended range, and any domain rule from step 1. Write them to return offending rows, not a boolean — zero rows returned is the evidence, and a non-zero result hands you the defect directly.

  8. Exercise the application's read path. A correct schema does not mean the code reads it. Run the real code path against the migrated database — the test that covers it, or the request that hits it — and check the values it returns, not just that it did not throw.

  9. Rehearse the rollback on a copy. Take a copy or branch at the migrated state, run the down path, and re-run the counts and invariant queries against the result. An unexecuted rollback is a plan. Where the rollback is a restore from backup, the rehearsal is an actual restore into a disposable target — time it and record the recovery point it lands on. Never rehearse a rollback against the environment people are using; if the only copy available is production, stop and ask.

  10. Report with the words kept apart — written, applied, executed, tested, rolled back in rehearsal, verified. Each one names something different, and this procedure exists because they get conflated.

What this refuses to conclude

  • Without a before-state: that no data was lost. Counts after the fact cannot establish it.
  • Without checksums: that a transformed column is correct. A column full of the right shape of wrong value passes every count.
  • Without a validated constraint read from the catalog: that the constraint is enforced.
  • Without an executed rollback: that the migration is reversible.
  • Without exercising the read path: that the application works against the new schema.
  • Without running against the environment in question: anything about that environment. A pass on staging is evidence about staging.

Checklist

  • Claims written as queries before running anything
  • Before-state present, or its absence stated as a limit on the conclusion
  • Migration history read and reconciled against the repository
  • Row counts compared per table against a predicted delta
  • Column checksums compared for every transformed or copied column
  • Constraints confirmed validated from the catalog; indexes confirmed valid and chosen
  • Invariant queries run, returning rows rather than booleans
  • Application read path exercised against the migrated database
  • Rollback executed on a copy, with counts re-checked and timing recorded
  • Environment named; unverified claims listed explicitly

Failure handling

  • A count or checksum disagrees — that is the result. Report the discrepancy and the query that found it. Do not re-run the backfill over the top to make the numbers match; that hides which rows were wrong.
  • Invariant query returns rows — capture the offending keys before anything else changes them. Those rows are the reproduction case.
  • The rollback fails in rehearsal — the migration is not reversible. Report it as such immediately; that fact usually changes the deployment decision.
  • No non-production copy exists to rehearse against — say the rollback is unrehearsed. Do not rehearse on the live system to fill the gap.
  • Read-only access only — the read-side checks still stand. Report them as done and the rollback rehearsal as not performed, rather than downgrading the whole verification to an opinion.

Evidence to report

The environment. The queries you ran, verbatim, with their results — before and after side by side. The migration versions recorded in the history. Constraint and index state as read from the catalog. Which read path was exercised and what it returned. The rollback rehearsal: that it ran, how long, and what the post-rollback counts were. Then the explicit list of what was not checked. A summary that says "verified" without these is a claim, not verification.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Database Migration Verification AI skill do?

Prove a migration did what it claimed — before/after row counts, column checksums, constraint and index state, invariant queries, an exercised application read path, and a rehearsed rollback. Use after a migration has been applied to any environment and before anyone reports it as working, or when reviewing someone else's claim that a migration succeeded. Not for planning or sequencing the migration (that is migrations), and it does not treat a clean exit code, a green CI run, or a backup's existence as proof.

Why use Database Migration Verification on TypingMind?

Because you install it once and use it with any model. Database Migration Verification is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Database Migration Verification in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nahid-sparktales/agent-dispatcher/tree/main/skills/database/database-migration-verification. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Database Migration Verification?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Database Migration Verification?

As many as you like. As long as a model supports skills, you can use Database Migration Verification with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Database Migration Verification AI skill free?

Yes. It is published on GitHub by nahid-sparktales under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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