input-validation-injection

input-validation-injection is a skill for Claude Code, Codex from backspace-shmackspace/claude-devkit. It costs 47 tokens per session (1,055 once invoked), scanned A, a copy of input-validation-injection, MIT.

A guide for checking and safely handling untrusted input, such as text submitted by users or data received from outside systems. It covers attacks where input is mistakenly treated as part of a database query, command, or program object.

In plain words
What is it for?
Use it when processing forms, building database queries or operating-system commands, handling file uploads, validating formats and ranges, or designing input checks at system boundaries.
Why use it?
It helps keep user data separate from executable instructions. This reduces risks such as SQL injection, command injection, unsafe file handling, and prototype pollution.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when processing forms, building database queries or operating-system commands, handling file uploads, validating formats and ranges, or designing input checks at system boundaries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/backspace-shmackspace/claude-devkit/input-validation-injection
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.

Any agent
npx skills add backspace-shmackspace/claude-devkit --skill input-validation-injection
Clone the repo
git clone --depth 1 https://github.com/backspace-shmackspace/claude-devkit

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-injection

README.md
[![agentmods](https://agentmods.dev/badge/skills/backspace-shmackspace/claude-devkit/input-validation-injection/github.svg)](https://agentmods.dev/skills/backspace-shmackspace/claude-devkit/input-validation-injection)
Your own site
<a href="https://agentmods.dev/skills/backspace-shmackspace/claude-devkit/input-validation-injection"><img src="https://agentmods.dev/badge/skills/backspace-shmackspace/claude-devkit/input-validation-injection/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for input-validation-injection

Your own site · 80×15
<a href="https://agentmods.dev/skills/backspace-shmackspace/claude-devkit/input-validation-injection"><img src="https://agentmods.dev/badge/skills/backspace-shmackspace/claude-devkit/input-validation-injection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,055 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 92% copy Near-identical to another mod 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 5.1 $0.00047 $0.01055
Opus 5.5 $0.00019 $0.00422
Sonnet 5.5 $0.00009 $0.00211
Haiku 4.5 $0.00005 $0.00105

Measured 1mo ago against content hash 9a05c04d5cb7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

input-validation-injection 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 1mo 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.

Origin

This is a copy

92% identical to input-validation-injection — 16 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/input-validation-injection/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Input Validation and Injection Defense

Ensure untrusted input is validated and never interpreted as code. Prevent injection across SQL, LDAP, OS commands, templating, and JavaScript runtime object graphs.

Core Strategy

  • Validate early at trust boundaries with positive (allow-list) validation and canonicalization.
  • Treat all untrusted input as data, never as code. Use safe APIs that separate code from data.
  • Parameterize queries/commands; escape only as last resort and context-specific.

Validation Playbook

  • Syntactic validation: enforce format, type, ranges, and lengths for each field.
  • Semantic validation: enforce business rules (e.g., start <= end date, enum allow-lists).
  • Normalization: canonicalize encodings before validation; validate complete strings (regex anchors ^$); beware ReDoS.
  • Free-form text: define character class allow-lists; normalize Unicode; set length bounds.
  • Files: validate by content type (magic), size caps, and safe extensions; server-generate filenames; scan; store outside web root.

SQL Injection Prevention

  • Use prepared statements and parameterized queries for 100% of data access.
  • Use bind variables for any dynamic SQL within stored procedures -- never concatenate user input into SQL.
  • Prefer least-privilege DB users and views; never grant admin to app accounts.
  • Escaping is fragile and discouraged; parameterization is the primary defense.

Example (Java PreparedStatement):

String custname = request.getParameter("customerName");
String query = "SELECT account_balance FROM user_data WHERE user_name = ? ";
PreparedStatement pstmt = connection.prepareStatement(query);
pstmt.setString(1, custname);
ResultSet results = pstmt.executeQuery();

LDAP Injection Prevention

  • Always apply context-appropriate escaping:
    • DN escaping for \ # + < > , ; " = and leading/trailing spaces
    • Filter escaping for * ( ) \ NUL
  • Validate inputs with allow-lists before constructing queries; use libraries that provide DN/filter encoders.
  • Use least-privilege LDAP connections with bind authentication; avoid anonymous binds for application queries.

Read the full file on GitHub · 98 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. 1mo ago First seen · 98 lines · 47 tokens per session scan A 9a05c04d5cb7

Subscribe to this mod's changes

input-validation-injection is a skill published in the GitHub repository backspace-shmackspace/claude-devkit (15 stars, last pushed 2mo ago), licensed MIT. It adds 47 tokens to every session and 1,055 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to input-validation-injection, differing in 16 lines, and is treated as a copy.

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