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    Form Validation Contract Repair

    1

    Repair form-validation drift in a repository using Cursor.

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    Form Validation Contract Repair

    Form Validation Contract Repair

    Example session with this skill installed

    My signup form allows 2-character names but the backend requires 3. The age field arrives as a string but the API wants a number. Repair the contract and add tests.

    • Read your context and instructions
    • Compiled the form validation contract

    Repair decision: FORM VALIDATION CONTRACT DRIFT FOUND.
    Identified drift in display-name length and age type coercion.
    Plan: Centralize shared Zod schema for length limits, add explicit string-to-number parser in Server Action, and update mocks.
    Patch ready for local review.

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

    About this skill

    The problem

    Validation logic often drifts across the stack. You end up with frontend schemas that allow data the server rejects, inconsistent type coercion for numbers or booleans, and database constraints that surface as generic, unhelpful errors.

    What it does

    • Traces the complete input lifecycle from browser constraints to database persistence.
    • Identifies mismatches in field names, types, length limits, and conditional requirements across layers.
    • Aligns client-side schemas with authoritative server-side domain rules.
    • Maps database constraints and persistence failures to stable, localized public error codes.
    • Generates bounded repository patches and deterministic local tests for verification.

    Frameworks & tools

    Works with any stack including React, Vue, Next.js, Django, Rails, Laravel, TypeScript (Zod/Yup), Python (Pydantic/DRF), Prisma, and OpenAPI specs.

    Why this beats prompting it yourself

    Manually tracking a single field through components, schemas, transport adapters, and database models is error-prone and tedious. This skill automates the trace across your entire repository to ensure the contract is airtight without weakening security boundaries.

    Use cases

    • Fixing "Submit" button failures where the UI thinks data is valid but the API disagrees.
    • Standardizing how empty strings, nulls, and booleans are coerced during transport.
    • Repairing stale validation messages and missing translation keys.
    • Aligning OpenAPI documentation with actual runtime validation behavior.

    Known limitations

    Cannot access production databases or live APIs. It does not perform data migrations or decide business thresholds without human approval.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Agents & Orchestration.

    Does not access production data, live APIs, or secrets. Cannot perform database migrations or decide business rules without human input. Requires existing repository files and local test tools.

    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 buying a skill.

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    Security scan passed 3 months ago

    Permissions

    Terminal / Shell
    Read Files
    Write Files

    Permissions are limited to the active local workspace and are used to inspect user-supplied or local workspace files; create or modify bounded local fixes, tests, documentation, or review artifacts; run repository-supported local tests, checks, builds, or parsing commands. The skill package does not require bundled credentials, unrestricted external network access, or automatic production changes.

    Listed3 months ago
    Updated9 days ago

    What's inside

    Frequently Asked Questions

    The skill analyzes your entire codebase to find mismatches between frontend schemas (like Zod or Yup), backend validation logic (like Pydantic or Laravel rules), and database constraints, ensuring data flows correctly from UI to disk.

    Yes, the skill is designed to bridge the gap between frontend frameworks (React, Vue), backend environments (Node.js, Python, Ruby, PHP), and ORMs like Prisma or SQLAlchemy to maintain a single source of truth.

    The skill provides targeted code patches and unit tests to repair validation gaps, but it will not execute database migrations or modify live production schemas without your manual review and approval.

    You get full access to the skill's logic within your AI agent's environment, supporting continuous use across multiple repositories and standard updates as new validation libraries or framework versions are released.

    By aligning your internal validation logic with your OpenAPI or Swagger specifications, the skill ensures your public documentation accurately reflects the actual constraints enforced by your backend.

    New in Agents & Orchestration