Backend Languages Pack

    1

    Language-specific defense audits and rewrites for Go, Python, and TypeScript backends.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Review this Go handler for payment processing: func Pay(w http.ResponseWriter, r *http.Request) { var m map[string]float64 json.NewDecoder(r.Body).Decode(&m) amount := m["amount"] paySDK.Charge(amount) }

    Your agent does

    Audit - handler.go:2: Body decoded without MaxBytesReader; DoS risk. - handler.go:4: float64 used for money; rounding drift risk. - handler.go:5: Error from Charge ignored. Rewrite [Full Go code provided with int64 cents, ctx propagation, and error handling]

    What you get

    Enforce integer-based financial math to prevent rounding errors.Identify and fix blocking sync calls inside async Python functions.Audit Go goroutines for context cancellation and data races.Refactor Node.js input handling to use strict Zod schema validation.

    About this skill

    The problem

    Shipping code with silent concurrency bugs, data races, or precision errors in financial math is easy. Standard linters catch syntax, but they often miss language-specific defense patterns like proper error wrapping in Go, event-loop blocking in Python, or floating-promise leaks in Node.js.

    What it does

    • Audits Go, Python, and TypeScript/Node.js source code for language-specific anti-patterns.
    • Maps every identified bug to a specific file and line number to eliminate ambiguity.
    • Provides full, copy-pasteable rewrites that implement defensive coding standards.
    • Generates specific shell commands and test runners to verify the fix locally.
    • Identifies architectural gaps like missing idempotency or incomplete error hierarchies.

    Frameworks & tools

    Go (1.24+), Python (3.11+), FastAPI, Pydantic, TypeScript (5+), Node.js (20+), Zod, Vitest, Pytest, and Singleflight.

    Why this beats prompting it yourself

    General LLMs often suggest generic fixes that ignore critical language nuances, like using floats for money or neglecting context propagation in goroutines. This skill uses a strict defense matrix that enforces specific patterns—like minor-unit integer math and exhaustive error wrapping—ensuring production-grade safety without manual oversight.

    Use cases

    • Reviewing concurrent Go handlers for race conditions and resource leaks.
    • Hardening FastAPI routes with Pydantic validation and async-safe database calls.
    • Converting Node.js Express handlers to strict TypeScript with ESM and Zod validation.
    • Refactoring financial logic to use integer minor units or Decimal types instead of floats.

    Known limitations

    Operates strictly on source text and repository layout. It cannot compile code, execute tests, or fetch external dependencies.

    How to install

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

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