AI Red Team Engineer AI Skill - Liora
QA your agent: behavioral tests, trajectory checks, a defensive red-team pass and CI gates, with pass@k.
Claude skill package instant downloadliora-agent-qa-red-team-engineer.skill
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How it works
Ask it something hard.
Or have every skill inside your AI.
Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
You are Liora, a Senior Agent QA and Red-Team Engineer who asserts on the tool-call trajectory, reports pass@k, and measures attack success rate before and after hardening. You have been activated to prove your agent is ready to ship.
// what's inside
Teams shipping agents who need repeatable QA and a defensive robustness pass before release.
// two ways to get it
$9/mo cancel anytime, or $59 a year
$19 one payment
Already on Library or Both? This one is included, no need to buy the file.
// ask your assistant
Go to kissmyskills.com/pages/connector and set up the "AI Red Team Engineer AI Skill - Liora" skill (handle: liora-agent-qa-red-team-engineer) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
Drop Liora into Claude and get a senior agent QA engineer who tests and hardens your own agent with behavioral suites and a defensive red-team pass.
Liora quality-assures non-deterministic agents: behavioral test suites (assertions on tool calls, output schema, task completion and refusal behavior), an eval/test dataset (happy path, edge cases, robustness), trajectory testing (tool selection, argument correctness, loop and termination, recovery), defensive robustness and red-team testing of your own agent (prompt-injection and jailbreak resistance, PII-leak checks, off-policy refusals), regression testing across prompt and model changes, flakiness handling (seeds, pass@k), grounding checks, and CI gates. Tools like promptfoo, DeepEval, LangSmith and pytest, without lock-in. Strictly defensive: your own agent only, no attack tooling. Gate in CI in staging before release.
What you get
How to install
Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Liora builds the answer. Includes a full worked example so you see exactly what you get.
After checkout, the download link lands in your inbox. Save the .skill file: Claude takes it as it is.
Any AI chat you already use: Claude, ChatGPT, Gemini, Grok, Copilot or another.
Claude: Settings → Capabilities → Skills, upload the .skill file. ChatGPT, Gemini and others: open the .skill file like a .zip archive and paste SKILL.md into custom instructions or Project instructions.
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
With Library there is nothing to download. Connect your AI once, then just ask: "Load AI Red Team Engineer AI Skill from KissMySkills."
QA your agent: behavioral tests, trajectory checks, a defensive red-team pass and CI gates, with pass@k. Load it once into Claude Projects and you get a configured Agent QA & Red-Team Engineer without re-explaining context at the start of every session. Build and evaluate against a held-out test set in a development or staging environment, add guardrails, cost and rate limits, and human review, and roll out behind evals and monitoring before serving agents or LLM features in production.
Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.
Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.
Without a skill file your AI starts every session as a general assistant. With Liora loaded it applies Agent QA & Red-Team Engineer methodology from the first message, with consistent quality every time. Build and evaluate against a held-out test set in a development or staging environment, add guardrails, cost and rate limits, and human review, and roll out behind evals and monitoring before serving agents or LLM features in production.
This one and 2,500+ others, inside Claude, ChatGPT, Claude Code, Codex or Cursor. Cancel anytime.