common-appsec-patterns

common-appsec-patterns is a skill for Claude Code from Stickman230/claude-pentest. It costs 42 tokens per session (1,833 once invoked), scanned A, original, MIT.

A coordinator for testing common web-application security weaknesses, such as cross-site scripting, request-forgery attacks, injection flaws, and authentication problems. It assigns the testing and verification work to specialized security agents.

In plain words
What is it for?
Use it when assessing a web application against common security risks, including weaknesses listed in the OWASP Top 10, a widely used security-risk guide.
Why use it?
It organizes checks for several common weaknesses in one security review. This helps avoid overlooking related attack paths while keeping the main agent focused on coordination.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the pentest plugin — 7 skills, 5 commands, 15 agents shipped together

Good fit Use it when assessing a web application against common security risks, including weaknesses listed in the OWASP Top 10, a widely used security-risk guide.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/stickman230/claude-pentest/common-appsec-patterns
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 Stickman230/claude-pentest --skill common-appsec-patterns
Clone the repo
git clone --depth 1 https://github.com/Stickman230/claude-pentest

Made for: Claude Code.

Or install pentest, the plugin that ships this one along with the rest of its 7 skills, 5 commands, 15 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 common-appsec-patterns

README.md
[![agentmods](https://agentmods.dev/badge/skills/stickman230/claude-pentest/common-appsec-patterns.svg)](https://agentmods.dev/skills/stickman230/claude-pentest/common-appsec-patterns)
Your own site
<a href="https://agentmods.dev/skills/stickman230/claude-pentest/common-appsec-patterns"><img src="https://agentmods.dev/badge/skills/stickman230/claude-pentest/common-appsec-patterns.svg" alt="Measured on agentmods" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,833 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 $0.00042 $0.01833
Opus 5 $0.00021 $0.00916
Sonnet 5 $0.00008 $0.00367
Haiku 4.5 $0.00004 $0.00183

Measured 8d ago against content hash 9ee44527ad67, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

common-appsec-patterns 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 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.

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.

plugins/pentest/skills/common-appsec-patterns/SKILL.md · 184 lines

How it starts

The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Common Application Security Patterns

Coordinates parallel agents for XSS, injection, CSRF, and other common web vulnerabilities.

When to Use This Skill

Use this skill when testing for common web application vulnerabilities like XSS, CSRF, injection flaws, and authentication issues. Essential for comprehensive application security testing and identifying OWASP Top 10 vulnerabilities.


You are an application security testing coordinator who orchestrates specialized agents to identify and validate common application security vulnerabilities. All of the specialized agents that you must orchestrate are agents of the pentest plugin. Only orchestrate those agents.

CRITICAL RULES:

  1. You MUST delegate ALL vulnerability testing, exploitation, and validation to specialized subagents. You NEVER perform these tasks yourself.

  2. Keep ALL responses SHORT - maximum 2-3 sentences. NO greetings, NO emojis, NO explanations unless asked.

  3. Get straight to work immediately - analyze and spawn subagents right away.

  4. Launch agents based on testing scope:

    • For comprehensive testing: Launch all agents in parallel
    • For targeted testing: Launch specific vulnerability agents as needed
    • For critical findings: Re-spawn specific agents for deeper validation

<role_definition>

  • Spawn specialized vulnerability testing subagents based on the target application and testing requirements
  • Coordinate the testing process for common application security patterns
  • Track findings and coordinate validation of identified vulnerabilities
  • Your ONLY tool is Task - you delegate everything to subagents </role_definition>

Available Security Testing Agents

Client-Side Security

  • xss-tester: Cross-site scripting testing (reflected, stored, DOM-based) across modern frameworks
  • csrf-tester: Cross-site request forgery testing including SameSite bypass, token validation, and method override
  • prototype-pollution-tester: Client-side JavaScript prototype pollution via URL parameters, hash fragments, and JSON payloads
  • csp-bypass-tester: Content Security Policy bypass testing including policy inspection, JSONP abuse, and unsafe-inline/unsafe-eval detection

Read the full file on GitHub · 184 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 · 184 lines · 42 tokens per session scan A 9ee44527ad67

Subscribe to this mod's changes

common-appsec-patterns is a skill published in the GitHub repository Stickman230/claude-pentest (99 stars, last pushed 3mo ago), licensed MIT. It adds 42 tokens to every session and 1,833 once invoked, about $0.0002 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

owasp-top-10-testing

Test an application against the OWASP Top 10 with Strix — autonomous AI agents that attempt real exploits for each category of the current OWASP Top 10:2025 (broken access control including SSRF, security misconfiguration, software supply chain failures, cryptographic failures, injection, insecure design…

usestrix/strix · 151 tokens

application-security-testing

Application security testing (AppSec) across a whole product with Strix — decide which asset needs which test (source code, running web app, API, CI pipeline), run it, and turn the results into a ranked remediation plan. Autonomous agents exploit and prove each issue instead of emitting static-analysis alerts, so the…

usestrix/strix · 125 tokens

playwright-cli

Automate browser interactions, test web pages and work with Playwright tests.

MingyiSecLab/Mingyi-Atlas · 19 tokens

race-condition

Race condition / TOCTOU exploitation — concurrent and parallel-request attacks against web applications that check then act, write session state before validating it, or perform slow operations that widen the race window. Covers single-endpoint races (double-spend, coupon abuse, balance overflow) and multi-endpoint…

MingyiSecLab/Mingyi-Atlas · 80 tokens

fix-security-vulnerabilities-with-strix

Fix security vulnerabilities found by a Strix pentest (open-source CLI or app.strix.ai cloud) — triage by severity, patch the root cause rather than the symptom, and re-run Strix to prove each fix actually closes the exploit. Handles injection, XSS, SSRF, broken access control, IDOR, and other validated findings. Use…

usestrix/strix · 124 tokens

ci-security-scanning-with-strix

Add security scanning to CI/CD with Strix — GitHub Actions, GitLab CI, or any pipeline — so every pull request gets a diff-scoped AI pentest that blocks vulnerable code before it merges, with results as PR comments and SARIF uploaded to code scanning. Covers both the self-hosted open-source CLI (runs in your runner)…

usestrix/strix · 140 tokens