red-teaming-llms-with-garak SKILL.md skillA

red-teaming-llms-with-garak from adriannoes/awesome-agentic-ai is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add adriannoes/awesome-agentic-ai/red-teaming-llms-with-garak@v1.0

Pins v1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
adriannoes/awesome-agentic-ai
Path
cursor-claude-codex/skills/anthropic-cybersecurity-skills/skills/red-teaming-llms-with-garak/SKILL.md
Versions recorded
1
Latest version
v1.0, committed Jun 25, 2026
Size
11,250 bytes
Repository stars
69
License
MIT

Run NVIDIA garak probe suites against an LLM endpoint to test for jailbreaks, prompt injection, data leakage, and toxic generation, then interpret the hit-rate report for triage and reporting.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Red-Teaming LLMs with garak

> **Legal and Authorized-Use Notice:** This skill is for authorized AI security testing and educational purposes only. Probe only models, API keys, and endpoints you own or have explicit written permission to test. Automated probing of third-party LLM APIs may violate their terms of service and consume billable tokens. Unauthorized probing of systems you do not control may be illegal.

## Overview

garak (Generative AI Red-teaming and Assessment Kit) is an open-source LLM vulnerability scanner maintained by NVIDIA. It plays the role that a network vulnerability scanner like Nessus plays for hosts, but for large language models: it sends thousands of adversarial prompts ("probes") at a target model, captures the generations, and runs automated "detectors" over the responses to decide whether each attempt succeeded. Probe families cover prompt injection (`promptinject`, `latentinjection`), jailbreaks (`dan`), training-data and system-prompt leakage (`leakreplay`), malware generation (`malwaregen`), cross-site-scripting payload emission (`xss`), encoding-based bypasses (`encoding`), toxicity, and more. garak is described in the paper "garak: A Framework
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add adriannoes/awesome-agentic-ai/red-teaming-llms-with-garak@sha256:f0e3aec650e4b5ce

The line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_pqcpiky6joxqx7hf.svg)](https://markdownregistry.com/a/art_pqcpiky6joxqx7hf)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jun 25, 2026.

versioncommittedcommitsizeaudit
v1.0 latest2026-06-25 f69bd81 11,250 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (11250 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

adriannoes/awesome-agentic-ai · 69 stars · license MIT · pushed 2026-10-10 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_pqcpiky6joxqx7hf
GET https://markdownregistry.com/api/v1/resolve?ref=adriannoes/awesome-agentic-ai/red-teaming-llms-with-garak
GET https://markdownregistry.com/api/v1/blob/f0e3aec650e4b5ce2356ee4ce35533df7ef195d19226859f285eb22fa3f81145

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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