Playbook Webapp

Community

s0ld13rr

playbook-webapp

Web application pentest methodology + ROUTER to the per-vuln-class web skills. Load at the START of systematic web testing to get the phase flow (recon → map → test-by-OWASP-class → prove → report) and pick which web-<class> skill to load for each surface. Use on any web app / HTTP API engagement.

Overview

Publisher	s0ld13rr
Repository	`pentestcode`
Skill name	`playbook-webapp`
Stars	834
Forks	131
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 s0ld13rr on GitHub. Read the source before you install it.

Installation

Install the Playbook Webapp AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/s0ld13rr/pentestcode/tree/main/skills/playbooks/webapp
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.

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/s0ld13rr/pentestcode.git /tmp/pentestcode
mkdir -p .claude/skills
cp -r /tmp/pentestcode/skills/playbooks/webapp .claude/skills/playbook-webapp

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Playbook Webapp 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 Playbook Webapp 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 Playbook Webapp 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.

Web App Pentest — methodology + skill router

This is the ORDER of operations and the map to the deep skills. Each vuln CLASS has a dedicated web-<class> skill with exact payloads + detect→exploit→PROVE — load the one matching the surface; don't test from this index.

1. Recon + active scan FIRST

Fingerprint stack+version (whatweb/httpx, headers), CMS (wpscan/etc.), APIs (/swagger, /graphql, /.well-known). Then a content-matched nuclei -u <t> pass BEFORE exhaustive dir-fuzz (framework-runtime RCEs don't appear as routes) → nuclei_parse. Version + a known CVE → fetch & vet a public PoC (shared exploitation methodology).

2. Map (hidden surface, AFTER the scan)

ffuf/gobuster (→ gobuster_parse), vhosts (ffuf -H Host:FUZZ), params (arjun), auth endpoints (login/register/reset/OAuth), API routes. Review client-side JS for endpoints/secrets.

3. Test by class → load the matching skill

Signal / surface	Load
param → DB query, SQL error/differential	web-sqli
input renders in a server template ({{7*7}})	web-ssti
server fetches a URL you control (webhook/proxy/import)	web-ssrf
file param / download / `../` reflection	web-lfi-traversal
file upload sink	web-upload-rce
XML/SOAP/SAML/DOCX/SVG parsing	web-xxe
serialized blob (rO0/O:/VIEWSTATE/pickle)	web-deserialization
object IDs, roles, JWT, admin funcs	web-auth-bypass-idor
known framework+version CVE	shared exploitation methodology + searchsploit/nuclei
Also-check (no dedicated skill yet): XSS (`dalfox`, `xss_detect`), command injection (`;id`/`$(id)`), CSRF, CORS/security-headers, crypto/secrets-in-JS, business-logic/race conditions.

4. PROVE + Report

A finding is suspected until you reproduce concrete impact (dumped canary row / id / file bytes / cloud creds / cross-user data) — then add_vuln confirmed with the evidence. Never mark a host resolved/"safe" without a completed active scan. Report: reproduction steps + request/response evidence + CVSS + OWASP-WSTG mapping.

Frequently asked questions

What does the Playbook Webapp AI skill do?

Why use Playbook Webapp on TypingMind?

Because you install it once and use it with any model. Playbook Webapp 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 Playbook Webapp in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/s0ld13rr/pentestcode/tree/main/skills/playbooks/webapp. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Playbook Webapp?

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 Playbook Webapp?

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

Is the Playbook Webapp AI skill free?

Yes. It is published on GitHub by s0ld13rr under the MIT 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Web App Pentest — methodology + skill router

1. Recon + active scan FIRST

2. Map (hidden surface, AFTER the scan)

3. Test by class → load the matching skill

4. PROVE + Report

Frequently asked questions

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