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OmarAlex24OmarAlex24/audit-skills/skills/data-consistency/SKILL.md

data-consistency

Skill1 starsChanged 2 days agoLicence not identifiedView on GitHub

Audits data consistency for three failures. Concurrent writes that overwrite each other (lost update, read-modify-write, check-then-insert, an ignored version column). Events lost between the database and a queue or external service (dual write, no outbox). Endpoints, webhooks or consumers that break on a retry (double charge, duplicate messages, no idempotency key). Each finding brings the breaking sequence with path:line and the lightest fix; reports and stops. Use it for "can events get lost?", "is this endpoint idempotent?", "race condition in the database", "optimistic locking", "outbox pattern", "duplicate messages", "is this retry-safe?", "at-least-once delivery", "stale read after write", even without the word "consistency". Status lifecycles go to implicit-state-machines; performance, perf-diagnosis; wrong calculations, correctness-review. Also triggers on Spanish requests such as "revisa la consistencia de datos", "¿se pueden perder eventos?", "¿es idempotente este endpoint?" or "doble cobro".

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We split this skill into the rules it gives an agent

12 rules. About 0 are common, 9 are distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈9

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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