injection-prevention

injection-prevention is a skill for Claude Code from latestaiagents/agent-skills. It costs 78 tokens per session (1,746 once invoked), scanned A, original, MIT.

A security review guide for preventing injection attacks, where untrusted input changes a database query, shell command, or other interpreter instruction.

In plain words
What is it for?
Use it to review SQL, NoSQL, LDAP, XPath, shell, and expression-language code, and to replace string-built queries with safer parameters.
Why use it?
It helps find unsafe input handling that could let attackers read data, alter records, or run commands.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the security-guardian plugin — 10 skills, 2 commands shipped together

Good fit Use it to review SQL, NoSQL, LDAP, XPath, shell, and expression-language code, and to replace string-built queries with safer parameters.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/latestaiagents/agent-skills/injection-prevention
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 latestaiagents/agent-skills --skill injection-prevention
Clone the repo
git clone --depth 1 https://github.com/latestaiagents/agent-skills

Made for: Claude Code.

Or install security-guardian, the plugin that ships this one along with the rest of its 10 skills, 2 commands.

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 injection-prevention

README.md
[![agentmods](https://agentmods.dev/badge/skills/latestaiagents/agent-skills/injection-prevention/github.svg)](https://agentmods.dev/skills/latestaiagents/agent-skills/injection-prevention)
Your own site
<a href="https://agentmods.dev/skills/latestaiagents/agent-skills/injection-prevention"><img src="https://agentmods.dev/badge/skills/latestaiagents/agent-skills/injection-prevention/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 injection-prevention

Your own site · 80×15
<a href="https://agentmods.dev/skills/latestaiagents/agent-skills/injection-prevention"><img src="https://agentmods.dev/badge/skills/latestaiagents/agent-skills/injection-prevention.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,746 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00078 $0.01746
Opus 5 $0.00039 $0.00873
Sonnet 5 $0.00016 $0.00349
Haiku 4.5 $0.00008 $0.00175

Measured 8d ago against content hash 73816b5d5550, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

injection-prevention scanned grade A with 1 finding 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 8d 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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

| Command Injection | CRITICAL | Shell exec, system calls, child_process |
plugins/security-guardian/skills/owasp/injection-prevention/SKILL.md · 265 lines

How it starts

The opening of the file, as written. The whole thing — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Injection Prevention (OWASP A01)

Prevent SQL, NoSQL, Command, and other injection attacks by validating and sanitizing all user input.

When to Use

  • Reviewing code that builds SQL/NoSQL queries
  • Code that executes shell commands
  • Any place user input reaches an interpreter
  • Building APIs that accept user data
  • Migrating from string concatenation to parameterized queries

Injection Types

Type Danger Common Locations
SQL Injection CRITICAL Database queries, ORMs with raw queries
NoSQL Injection CRITICAL MongoDB, Redis, Elasticsearch queries
Command Injection CRITICAL Shell exec, system calls, child_process
LDAP Injection HIGH Directory service queries
XPath Injection HIGH XML document queries
Expression Language HIGH Template engines, eval()

Detection Patterns

SQL Injection Red Flags

// VULNERABLE - String concatenation
const query = "SELECT * FROM users WHERE id = " + userId;
const query = `SELECT * FROM users WHERE name = '${userName}'`;

// VULNERABLE - Format strings
query = "SELECT * FROM users WHERE id = %s" % user_id

// VULNERABLE - String interpolation in ORM
User.where("name = '#{params[:name]}'")

Command Injection Red Flags

// VULNERABLE - Direct user input in commands
exec(`ls ${userInput}`);
system("ping " + ipAddress);
child_process.exec(`convert ${filename} output.png`);

// VULNERABLE - eval with user data
eval(userCode);
new Function(userInput)();

Prevention Techniques

1. Parameterized Queries (SQL)

// SAFE - Node.js with parameterized query
const result = await db.query(
  'SELECT * FROM users WHERE id = $1 AND status = $2',
  [userId, status]
);

// SAFE - Using ORM properly
const user = await User.findOne({ where: { id: userId } });

// SAFE - Prepared statements
const stmt = db.prepare('SELECT * FROM users WHERE email = ?');
const user = stmt.get(email);
# SAFE - Python with parameterized query
cursor.execute(
    "SELECT * FROM users WHERE id = %s AND status = %s",
    (user_id, status)
)

# SAFE - SQLAlchemy ORM
user = session.query(User).filter(User.id == user_id).first()

Read the full file on GitHub · 265 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. 8d ago First seen · 265 lines · 78 tokens per session scan A 73816b5d5550

Subscribe to this mod's changes

injection-prevention is a skill published in the GitHub repository latestaiagents/agent-skills (5 stars, last pushed 4mo ago), licensed MIT. It adds 78 tokens to every session and 1,746 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.