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Web App Penetration Testing

OrganizationPopular
usestrix
web-app-penetration-testing

Pentest a web app or website end to end — black-box testing of a live URL, staging environment, or local dev server that finds and exploits real vulnerabilities (auth bypass, broken access control, IDOR, injection, XSS, SSRF, business logic) and proves each one with a working proof-of-concept instead of a signature match. Runs with Strix, either the self-hosted open-source CLI or the managed app.strix.ai cloud. Use when the user asks to pentest, hack, security-test, or audit their web app, website, web application, or staging site.

Overview

Publisherusestrix
Repositorystrix
Skill nameweb-app-penetration-testing
Stars
63.3K
Forks
6.9K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by usestrix on GitHub. Read the source before you install it.

Installation

Install the Web App Penetration Testing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/usestrix/strix.git /tmp/strix
mkdir -p .claude/skills
cp -r /tmp/strix/skills/web-app-penetration-testing .claude/skills/web-app-penetration-testing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Web App Penetration Testing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Web App Penetration Testing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Web App Penetration Testing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Pentest a web application

Black-box (and optionally source-assisted) penetration testing of a running web app with Strix's autonomous agents. Every reported finding is validated with a working exploit, so there are no signature-based false positives to triage.

Install, LLM setup, all CLI flags, and the managed-cloud alternative are covered in the penetration-testing-with-strix skill — read it if the target is not a running web app, or if strix --version fails. For a run with no Docker and no LLM key, the same binary drives the managed platform: strix cloud login, then strix cloud scans start ... (details in managed-pentesting-with-strix). This skill is the web-app-specific workflow.

1. Confirm authorization and scope

Before running anything, establish:

  • The target is the user's (or they are explicitly authorized to test it). Never pentest a third-party site on a hunch.
  • Which environment. Prefer staging over production; agents send real exploit payloads and will create/modify data.
  • Out-of-scope paths — payment flows, mass-email endpoints, admin destructive actions, third-party SSO providers.
  • Credentials. Most real vulnerabilities live behind login. Without a test account, the agents only ever see the marketing surface.

Ask for anything missing rather than guessing.

2. Run the scan

bash
strix -n -t https://staging.example.com --max-budget 20 \
  --instruction "Test account: qa@example.com / <password>. In scope: /app/*, /api/*. Do not touch /billing or send email. Focus on access control between the two seeded orgs."

Notes that matter for web apps specifically:

  • Give it credentials via --instruction (or --instruction-file for anything long), including how to log in if the flow is unusual (magic link, SSO, MFA-exempt test user).
  • Two accounts beat one. Multi-tenant IDOR and broken-access-control bugs — consistently the highest-impact class in web apps — can only be proven when the agent can attempt cross-account access.
  • Add the repo for white-box depth when you have the source: -t https://github.com/org/app -t https://staging.example.com (or a local path). Source access materially improves coverage of business-logic and authorization flaws.
  • Localhost works. Point at http://host.docker.internal:3000 (Docker Desktop) so the sandbox can reach a dev server on the host.
  • --scan-mode quick for a fast dev-loop pass, standard (~30 min) for a normal review, deep for pre-release assurance. Always set --max-budget.

For a hosted run with no Docker/LLM key, or when the user wants a shareable dashboard and an auditor-ready PDF, use the cloud path in managed-pentesting-with-strix instead — same engine, same findings.

3. Review results

Read strix_runs/<run>/penetration_test_report.md first, then per-finding files in vulnerabilities/. Each contains the PoC — re-run it yourself to confirm before reporting to the user.

Exit codes: 0 no validated vulns in what was analyzed, 2 vulnerabilities found, 1 fatal error. A 0 is not proof of full coverage — if the budget or turn cap was hit the scan wraps up early, so check run.json status and cost against --max-budget before calling the app clean.

4. Fix and verify

Hand findings to the fix-security-vulnerabilities-with-strix skill: patch the root cause, then re-run Strix against the same target to prove the exploit no longer works. Re-testing is the only reliable confirmation a fix landed.

To keep the app tested on every change rather than once, wire Strix into CI with ci-security-scanning-with-strix.

Frequently asked questions

What does the Web App Penetration Testing AI skill do?

Pentest a web app or website end to end — black-box testing of a live URL, staging environment, or local dev server that finds and exploits real vulnerabilities (auth bypass, broken access control, IDOR, injection, XSS, SSRF, business logic) and proves each one with a working proof-of-concept instead of a signature match. Runs with Strix, either the self-hosted open-source CLI or the managed app.strix.ai cloud. Use when the user asks to pentest, hack, security-test, or audit their web app, website, web application, or staging site.

Why use Web App Penetration Testing on TypingMind?

Because you install it once and use it with any model. Web App Penetration Testing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Web App Penetration Testing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/usestrix/strix/tree/main/skills/web-app-penetration-testing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Web App Penetration Testing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Web App Penetration Testing?

As many as you like. As long as a model supports skills, you can use Web App Penetration Testing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Web App Penetration Testing AI skill free?

Yes. It is published on GitHub by usestrix under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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