Platform

AI Skills — Reusable Expertise Packs

Import and activate curated skill packs — offensive AD, cloud, web, recon, exploit-dev and more — that focus the AI on a specific discipline. Stack them within a token budget, toggle them on and off, and get sharper output on the work that matters.

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AI Skills — Reusable Expertise Packs

Teach the AI a discipline in one click

A Skill is a reusable pack of expert instruction — "act as a SQL-injection specialist", "run an Active Directory attack path", "review this like a cloud pentester" — that you import once and switch on whenever you need it. Instead of re-explaining your methodology every session, you activate the right skill and the AI immediately works with that focus.

AI Skills — browse the catalogue and activate what you need

A curated, security-first catalogue

Skills come from a vetted catalogue — offensive AD, cloud, mobile, IoT, exploit development, recon, fuzzing, web, wireless and more. You browse the catalogue, import what you want into your workspace, and activate it. Everything is security-focused; there's no generic filler.

Stack them within a budget

Activate several skills at once and the platform keeps a running token budget so your context stays lean and predictable — you always see how much of the budget your active skills use. Deactivate one to free room for another. Nothing is ever silently truncated.

Secure by construction

Skills are third-party text, so XHack treats them as untrusted by design:

  • Injected as your input, never as system authority — a skill can't override XHack's guardrails or reveal the system prompt.
  • Scanned before it can activate — every skill is checked for injection markers and jailbreak content on import; anything suspicious is rejected.
  • Curated only — you import from the vetted catalogue, never an arbitrary URL, so there's no place for a malicious pack to enter.
  • Workspace-scoped — your active skills are yours; they never leak to another workspace.

Where it works

Activate skills once and they apply across your AI chat and your autonomous agent, so the same sharpened methodology drives both your interactive work and your hands-off runs.

Try it on your own stack

Run this against a target you own and judge it on what it finds, not on a description.

Explore Skills

Questions about this?

You get a researcher on the call, not a sales engineer reading the same page back to you.

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