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.