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Arsenal

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Encod3d-Sec
arsenal

Wiki-first "what do I use" lookup - pick the automated TOOL (wiki/tools/), then the PAYLOAD/technique (wiki/payloads/ + wiki/cheatsheets/), for a surface/service/vuln-class BEFORE hand-rolling or working from memory. Use for "tool for <service>", "automated tools for web/<service>", "what should I run on <surface>", "which tool for <X>", "payloads for <X>", "payload arsenal", "cheatsheet for <X>", "how do I exploit <tech/class>", "exploit/attack chain for <X>", "arsenal", any SSRF/XSS/SQLi/SSTI/LFI/JWT/XXE/IDOR/NoSQL/deserialization/CSRF/CORS/CRLF/GraphQL/smuggling/web-cache/OAuth/SAML/MFA/crypto/LDAP/XPath/WebAuthn/file-upload/IMDS/prompt-injection/Modbus ask, plus "privesc arsenal", "CVE arsenal", "default creds", "nuclei templates", "sqlmap/hydra/nmap/bloodhound", "password attacks".

Overview

PublisherEncod3d-Sec
RepositoryTORCH
Skill namearsenal
Stars
334
Forks
48
Bundled files
Instructions only
LicenseMIT
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 Encod3d-Sec on GitHub. Read the source before you install it.

Installation

Install the Arsenal 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.
    https://github.com/Encod3d-Sec/TORCH/tree/main/skills/workflow/arsenal
  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/Encod3d-Sec/TORCH.git /tmp/TORCH
mkdir -p .claude/skills
cp -r /tmp/TORCH/skills/workflow/arsenal .claude/skills/arsenal
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Arsenal 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 Arsenal 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 Arsenal 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.

Arsenal

Wiki-first router. On any surface/service/vuln, get the documented TOOL and PAYLOAD from the wiki BEFORE hand-rolling or recalling from memory. The lookup itself is delegated to the fast parallel engine:

-> Skill(wiki-arsenal) - quick by default (one qmd search across all four areas, cheap, fire it constantly); say "deep" / "full arsenal" for the 4-parallel-agent synthesized + cached card. It covers wiki/tools + wiki/payloads + wiki/techniques + wiki/cheatsheets and returns the tool + payload + technique + commands.

The tables below are the at-a-glance index of what wiki-arsenal pulls from - use them to sanity-check its result, not as a substitute for the lookup. Order: automated tool -> technique -> capture.

1. Tool first (from wiki/tools/ - don't improvise)

A service/surface is fingerprinted -> reach for the tool we already document for it. Have a tool for the service? Use it; do not hand-roll a curl/socket loop. ls wiki/tools/ for all 64.

Surface / serviceAutomated tools (wiki/tools/<name>.md)
Web HTTP(S)httpx, whatweb, nikto -> ffuf/feroxbuster/gobuster (content) -> katana/gau (crawl) -> arjun (params) -> nuclei (CVE/misconfig) -> dalfox (XSS) -> wpscan (WP); gowitness, burp-suite/burp-mcp
Ports / hostnmap, rustscan, naabu
DNS / subdomainssubfinder, amass, dnsx, gau
SMB / Windows / ADnetexec, responder, impacket, bloodhound/powerview, kerbrute, certipy/rubeus, evil-winrm
Login / credshydra, medusa (brute) -> hashcat, john (crack) -> jwt_tool (JWT) -> swaks (SMTP)
Post-shell privescpspy + linpeas/peass (ALWAYS, first)
Pivot / tunnelchisel, ligolo-ng
Cloudpacu, scoutsuite, roadtools, trivy
Binary / RE / pwnghidra, radare2, gdb-gef, pwntools, angr, binwalk, jadx, apktool, frida
Secrets / SAST / forensicstrufflehog, trivy, semgrep, codeql, volatility, tshark

Read the tool page for the exact flags before running; no page -> qmd_query/Skill(wiki).

2. Then technique / payload (wiki/payloads/ + wiki/cheatsheets/)

  • Vuln class -> wiki/payloads/<class>.md: sqli, xss, ssrf, ssti, xxe, idor, nosql, jwt, deserialization, command-injection, lfi-path-traversal, csrf, cors, crlf, graphql, api, auth-bypass, session, race-conditions, prototype-pollution, open-redirect, host-header, smuggling, web-cache, oauth-saml, mfa-bypass, crypto, ldap, xpath, webauthn-passkey, file-upload, imds-cloud-metadata, llm-prompt-injection, modbus, cicd.
  • Exploitation / privesc / chains -> wiki/cheatsheets/*: privesc-exploit-arsenal, cve-arsenal, attack-chains, linux-privesc / windows-privesc, default-credentials, nuclei-arsenal, sqlmap, password-attacks.

Read the matching page(s) BEFORE hand-rolling a payload/exploit. The full class-specific methodology lives in the matching hunt-* skill - hand off to it.

3. Capture the moment

Something lands (a confirmed vuln, creds, a shell, a flag) -> capture it AS it lands, not at the end. Capture is manual and live: run capture.sh (or Skill(screenshot)) into poc/ the moment a flag/shell lands, for the deliberate exploited/authed state so it can be manually reviewed.

Frequently asked questions

What does the Arsenal AI skill do?

Wiki-first "what do I use" lookup - pick the automated TOOL (wiki/tools/), then the PAYLOAD/technique (wiki/payloads/ + wiki/cheatsheets/), for a surface/service/vuln-class BEFORE hand-rolling or working from memory. Use for "tool for <service>", "automated tools for web/<service>", "what should I run on <surface>", "which tool for <X>", "payloads for <X>", "payload arsenal", "cheatsheet for <X>", "how do I exploit <tech/class>", "exploit/attack chain for <X>", "arsenal", any SSRF/XSS/SQLi/SSTI/LFI/JWT/XXE/IDOR/NoSQL/deserialization/CSRF/CORS/CRLF/GraphQL/smuggling/web-cache/OAuth/SAML/MFA/...

Why use Arsenal on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Encod3d-Sec/TORCH/tree/main/skills/workflow/arsenal. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Arsenal?

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 Arsenal?

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

Is the Arsenal AI skill free?

Yes. It is published on GitHub by Encod3d-Sec 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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