forge-validation

Validate untrusted inputs against explicit schemas at trust boundaries.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/f4rkh4d/forge-skill --skill forge-validation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: forge-validation
Source: https://github.com/f4rkh4d/forge-skill/tree/main/skills/backend/forge-validation
Command: npx skills add https://github.com/f4rkh4d/forge-skill --skill forge-validation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

This Skill prevents bugs and security issues caused by treating untrusted inputs as trusted data, by enforcing schema-based validation at every boundary before business logic uses values.

Core Features & Use Cases

  • Schema-first validation at trust boundaries: Parse and validate HTTP bodies, query params, queue payloads, env vars at startup, file uploads, and third-party API responses.
  • Typed guarantees from schemas: Derive types directly from the schema so the code can trust validated shapes.
  • Structured field-level errors: Return stable, client-actionable error details (including per-field paths and codes) instead of generic failures.
  • Resource and format safety: Enforce size limits, avoid hand-rolled regex, and validate file types by sniffing bytes rather than trusting headers.

Quick Start

Use forge-validation when implementing a new HTTP endpoint or message/queue handler so every external value is schema-parsed at the entry point and returns structured 400 responses on failure.

Frequently Asked Questions about forge-validation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate HTTP request bodies and query params before they hit my business logic?

Validate HTTP request bodies and query params by parsing them against explicit schemas at the trust boundary. This ensures untrusted inputs are rejected before use, returning structured 400 field-level errors on failure instead of ad-hoc checks.

What is the best way to validate environment variables at startup?

Environment variable validation at startup requires parsing against a single-source schema to establish a strict trust boundary. This guarantees that your application boots only with correctly typed and formatted environment configurations.

How do I ensure type safety when validating queue payloads and third-party API responses?

Ensure type safety for queue payloads and API responses by deriving types directly from a single-source validation schema. This provides typed guarantees so your code can trust the validated shapes of external data without manual checks.

How can I validate file uploads safely without trusting client-provided headers?

Validate file uploads safely by enforcing strict size limits and sniffing file bytes rather than trusting client-provided headers. This format safety mechanism prevents disguised payloads from bypassing your input validation boundaries.

Can I return structured field-level errors instead of generic validation failures?

You can return structured field-level errors by replacing ad-hoc checks with schema-based validation. This provides stable, client-actionable error details including specific per-field paths and codes rather than generic failures.

When do I need schema validation for API error handling?

You need schema validation for API error handling whenever processing external data like HTTP bodies, queue payloads, or third-party responses. It prevents untrusted input handling failures by enforcing strict size and format constraints at every boundary.