Detect the LiteLLM supply chain attack (v1.82.7/1.82.8). Scans for compromised packages, malicious .pth files, backdoor persistence, suspicious network conne...
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install litellm-attack-detectorOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install litellm-attack-detectorβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/litellm-attack-detector/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What litellm attack detector can do for your AI workflow
Detect the litellm supply directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing litellm attack detector
Help me get started with litellm attack detector
Explains what litellm attack detector does, walks through the setup, and runs a quick demo based on your current project
Use litellm attack detector to detect the LiteLLM supply chain attack (v1
Invokes litellm attack detector with the right parameters and returns the result directly in the conversation
What can I do with litellm attack detector in my developer & devops workflow?
Lists the top use cases for litellm attack detector, with example commands for each scenario
Guides & tutorials for AI skills
The 7 AI Skills Every Software Developer Should Have Installed in 2026
After testing dozens of developer-focused AI skills, these are the seven that have proven genuinely useful across different tech stacks and workflows β not just impressive demos, but tools that hold up under daily use.
MCP Skills vs Native Claude Tools: What's the Difference and When to Use Each
Claude comes with built-in capabilities, but MCP skills extend it in ways the base model can't. Here's a clear breakdown of what each type of tool is good for, with real examples of when to reach for a skill versus relying on Claude's native abilities.
litellm attack detector extends your AI assistant with the ability to detect the LiteLLM supply chain attack (v1.82.7/1.82.8). Scans for compromised packages, malicious .pth files, backdoor persistence, suspicious network conne... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using litellm attack detector as its underlying capability.
litellm attack detector works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install litellm attack detector once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
litellm attack detector installs like any other MCP skill: drop the folder into `~/.claude/skills/litellm-attack-detector/` for global access, or `.claude/skills/litellm-attack-detector/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/litellm-attack-detector`, or let the AI decide when it's the right tool for your request.
litellm attack detector has 86 installs and is part of the growing Developer & DevOps skill ecosystem on DiscoverAISkills. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/litellm-attack-detector/ for personal use (all projects), or .claude/skills/litellm-attack-detector/ for project-specific use. Restart your AI client, then invoke with /litellm-attack-detector or let the AI discover it automatically.
litellm attack detector supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
litellm attack detector is free to install. Check the repository for licensing information.
Detect the LiteLLM supply chain attack (v1.82.7/1.82.8). Scans for compromised packages, malicious .pth files, backdoor persistence, suspicious network conne...
LiteLLM
Call 100+ LLM providers through LiteLLM's unified API. Use when you need to call a different model than your primary (e.g., use GPT-4 for code review while running on Claude), compare outputs from multiple models, route to cheaper models for simple tasks, or access models your runtime doesn't natively support.
Detector of prompt injection
Detect prompt injection attacks and adversarial inputs in user text before passing it to your LLM. Use when you need to validate or screen user-provided text...
Automate my developer & devops tasks using litellm attack detector
Identifies repetitive steps in your workflow and sets up litellm attack detector to handle them automatically
litellm attack detector is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.