input-validation

input-validation is a skill for Claude Code, Codex from porcupine-md/jonggrang. It costs 20 tokens per session (843 once invoked), scanned A, original, MIT.

A set of patterns for checking and cleaning API input before application code uses it. It uses schemas to validate request bodies, URL parameters, and query values.

In plain words
What is it for?
Use it to validate emails, passwords, identifiers, pagination settings, sorting options, and other API request fields.
Why use it?
It prevents malformed or untrusted data from reaching business logic and makes validation errors consistent.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/porcupine-md/jonggrang/input-validation
Any agent
npx skills add porcupine-md/jonggrang --skill input-validation
Clone the repo
git clone --depth 1 https://github.com/porcupine-md/jonggrang

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for input-validation

README.md
[![agentmods](https://agentmods.dev/badge/skills/porcupine-md/jonggrang/input-validation.svg)](https://agentmods.dev/skills/porcupine-md/jonggrang/input-validation)
Your own site
<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/input-validation"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/input-validation.svg" alt="Measured on agentmods" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 843 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00020 $0.00843
Opus 5 $0.00010 $0.00421
Sonnet 5 $0.00004 $0.00169
Haiku 4.5 $0.00002 $0.00084

Measured 5d ago against content hash c22b650ad39f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

input-validation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/library/api/input-validation/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Validate Everything from External Sources

// Every request body, query param, and path param is untrusted input.
// Validate at the boundary before it touches your domain logic.

Zod Schema Patterns

import { z } from 'zod';

// Base schemas (reusable)
const EmailSchema = z.string().email().max(255).toLowerCase().trim();
const PasswordSchema = z.string().min(8).max(128);
const UUIDSchema = z.string().uuid();

// Request body schema
const CreateUserSchema = z.object({
  email: EmailSchema,
  password: PasswordSchema,
  name: z.string().min(1).max(100).trim(),
  role: z.enum(['admin', 'user', 'viewer']).default('user'),
});

// Query params (all strings from URL, need coercion)
const PaginationSchema = z.object({
  page: z.coerce.number().int().min(1).default(1),
  limit: z.coerce.number().int().min(1).max(100).default(20),
  sortBy: z.enum(['createdAt', 'name', 'email']).default('createdAt'),
  sortDir: z.enum(['asc', 'desc']).default('desc'),
});

// Path params
const UserParamsSchema = z.object({
  id: UUIDSchema,
});

Middleware Approach (Express)

// Generic validation middleware
function validate<T extends z.ZodType>(schema: T, source: 'body' | 'query' | 'params') {
  return (req: Request, res: Response, next: NextFunction) => {
    const result = schema.safeParse(req[source]);
    if (!result.success) {
      return res.status(400).json({
        error: {
          code: 'VALIDATION_ERROR',
          message: 'Invalid input',
          fields: result.error.flatten().fieldErrors,
        },
      });
    }
    req[source] = result.data;  // replace with parsed/coerced data
    next();
  };
}

// Usage
router.post('/users',
  validate(CreateUserSchema, 'body'),
  asyncHandler(async (req, res) => {
    const { email, password, name, role } = req.body; // already validated
    const user = await userService.create({ email, password, name, role });
    res.status(201).json(user);
  })
);

Security Checklist

Read the full file on GitHub · 119 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 119 lines · 20 tokens per session scan A c22b650ad39f

Subscribe to this mod's changes

input-validation is a skill published in the GitHub repository porcupine-md/jonggrang (11 stars, last pushed 9d ago), licensed MIT. It adds 20 tokens to every session and 843 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens