Webhook Signature Contract Repair

    by Mariusz Wrzeszczynski

    1

    Repair webhook-signature contract drift in a repository using Cursor.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurfMManus+14 more

    See it in action

    You say

    Repair the Stripe and GitHub webhook routes. Middleware is parsing JSON before verification, and we have no durable idempotency for our Celery workers. Use synthetic secrets for tests.

    Your agent does

    I found drift in your webhook handlers: Stripe is using parsed JSON for verification, and GitHub has no timestamp validation. I have prepared a patch to capture raw bytes, centralize secret lookup with key IDs, and implement a durable idempotency check before task dispatch.

    What you get

    Audit and fix parse-before-verify vulnerabilities in API routes.Implement versioned secret rotation and timestamp tolerance.Add durable idempotency to prevent duplicate worker side effects.Standardize logging to redact sensitive signatures and payloads.

    About this skill

    The problem

    Webhook verification logic often drifts across middleware, request parsers, and background workers, leading to security gaps like parse-before-verify vulnerabilities or broken idempotency. Developers struggle to repair these fragile integration points without risking production outages or replaying sensitive customer data.

    What it does

    • Identifies parse-before-verify bugs, JSON re-serialization issues, and encoding mismatches in your request handlers.
    • Traces webhook lifecycles from raw-byte capture through signature verification, event dispatch, and queue execution.
    • Standardizes provider-specific contracts for headers, algorithms, timestamp tolerance, and secret rotation.
    • Implements durable idempotency boundaries to prevent duplicate side effects in workers and retries.
    • Generates small, reviewable repository patches and deterministic local tests using synthetic fixtures.

    Why this beats prompting it yourself

    General-purpose LLMs often suggest insecure shortcuts like bypassing verification in development or using unstable JSON stringification for signature checks. This skill enforces a strict security-first architecture that separates cryptographic validity from payload parsing and ensures exact-byte integrity across your entire stack.

    Use cases

    • Fixing webhook failures caused by middleware whitespace or encoding changes.
    • Implementing secure secret rotation with explicit key IDs and overlap periods.
    • Migrating process-local replay protection to durable, worker-safe idempotency.
    • Redacting sensitive payloads and signatures from application logs.

    Known limitations

    Cannot contact live provider APIs, rotate production secrets, or verify historical events. Works only with repository files and materials provided in the environment.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    Mariusz Wrzeszczynski
    Mariusz Wrzeszczynski

    109 skills on Agensi

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