Dangerous Functions

Dangerous Functions is a skill for Claude Code from allsmog/vuln-scout. It costs 71 tokens per session (1,185 once invoked), scanned A, original, MIT.

A reference guide to security-sensitive functions, also called sinks, in PHP, Java, Python, and other languages. These are places where unsafe input can trigger actions such as command execution or database changes.

In plain words
What is it for?
Finding likely command-injection, SQL-injection, code-execution, file-operation, deserialization, and template-rendering points during white-box security reviews.
Why use it?
It helps reviewers know where to look for vulnerabilities when examining source code. It also explains the difference between sources, where input enters, and sinks, where that input can cause harm.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the vuln-scout plugin — 32 skills, 15 commands, 9 agents shipped together

Good fit Finding likely command-injection, SQL-injection, code-execution, file-operation, deserialization, and template-rendering points during white-box security reviews.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/allsmog/vuln-scout/dangerous-functions
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 allsmog/vuln-scout --skill dangerous-functions
Clone the repo
git clone --depth 1 https://github.com/allsmog/vuln-scout

Made for: Claude Code.

Or install vuln-scout, the plugin that ships this one along with the rest of its 32 skills, 15 commands, 9 agents.

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 Dangerous Functions

README.md
[![agentmods](https://agentmods.dev/badge/skills/allsmog/vuln-scout/dangerous-functions/github.svg)](https://agentmods.dev/skills/allsmog/vuln-scout/dangerous-functions)
Your own site
<a href="https://agentmods.dev/skills/allsmog/vuln-scout/dangerous-functions"><img src="https://agentmods.dev/badge/skills/allsmog/vuln-scout/dangerous-functions/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 Dangerous Functions

Your own site · 80×15
<a href="https://agentmods.dev/skills/allsmog/vuln-scout/dangerous-functions"><img src="https://agentmods.dev/badge/skills/allsmog/vuln-scout/dangerous-functions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,185 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 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 $0.00071 $0.01185
Opus 5 $0.00036 $0.00593
Sonnet 5 $0.00014 $0.00237
Haiku 4.5 $0.00007 $0.00119

Measured 12d ago against content hash 719da616b911, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

Dangerous Functions 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 12d 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.

vuln-scout/skills/dangerous-functions/SKILL.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dangerous Functions Reference

Purpose

Provide comprehensive knowledge of security-sensitive functions (sinks) across programming languages for whitebox penetration testing. These functions are common targets during code review because improper use leads to critical vulnerabilities.

When to Use

Activate this skill during:

  • Code review phase of whitebox security review
  • Searching for potential vulnerability entry points
  • Building grep patterns for sink identification
  • Understanding language-specific security risks

Core Concepts

Sources vs Sinks

Sources: Entry points where user input enters the application

  • HTTP parameters, headers, cookies
  • File uploads, database reads
  • Environment variables, command-line arguments

Sinks: Functions where malicious input causes damage

  • Command execution, SQL queries
  • File operations, deserialization
  • Code evaluation, template rendering

Risk Categories

Category Impact Common Languages
Command Injection Remote Code Execution All
Code Injection Remote Code Execution PHP, Python, JS
SQL Injection Data breach All with databases
Deserialization Remote Code Execution Java, PHP, Python, .NET
File Operations LFI/RFI/Arbitrary Write All
SSRF Internal network access All
Template Injection Remote Code Execution Python, Java, JS
Reentrancy Fund theft Solidity
Flash Loan Attacks Price/state manipulation Solidity
Access Control Privilege escalation Solidity

Methodology

Step 1: Identify Application Language

Determine the primary language(s) used:

  • Check file extensions (.php, .java, .py, .js, .cs, .go, .rb)
  • Review package managers (composer.json, pom.xml, requirements.txt, package.json)
  • Check framework indicators

Step 2: Load Language-Specific Reference

Consult the appropriate reference file for comprehensive sink lists:

  • references/php-sinks.md for PHP applications
  • references/java-sinks.md for Java applications
  • references/python-sinks.md for Python applications
  • references/javascript-sinks.md for Node.js/JavaScript
  • references/dotnet-sinks.md for .NET/C# applications
  • references/go-ruby-sinks.md for Go and Ruby
  • references/rust-sinks.md for Rust applications
  • references/kotlin-sinks.md for Kotlin/Android applications (preview -- not in supported language list)
  • references/swift-sinks.md for Swift/iOS applications (preview -- not in supported language list)
  • references/solidity-sinks.md for Solidity smart contracts

Read the full file on GitHub · 131 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. 12d ago First seen · 131 lines · 71 tokens per session scan A 719da616b911

Subscribe to this mod's changes

Dangerous Functions is a skill published in the GitHub repository allsmog/vuln-scout (24 stars, last pushed 3mo ago), licensed MIT. It adds 71 tokens to every session and 1,185 once invoked, about $0.0004 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.

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