run-llms
Comprehensive guide for setting up and running local LLMs using Harbor. Use when user wants to run LLMs locally, set up or troubleshoot Ollama, Open WebUI, llama.cpp, vLLM, SearXNG, Open Terminal, or similar local AI services. Covers full setup from Docker prerequisites through running models, per-service configuration, VRAM optimization, GPU troubleshooting, web search integration, code execution, profiles, tunnels, and advanced features. Includes decision trees for autonomous agent workflows and step-by-step troubleshooting playbooks.
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Critical
Do not install without reviewing
Security
2 findings: 1 critical severity, 1 medium severity. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
E005: Suspicious download URL detected in skill instructions.
What this means
Detected a suspicious URL in the skill instructions that could lead the agent to download and execute malicious scripts or binaries. This includes links to executables from untrusted sources, typosquatting of official packages, URL shorteners that obscure the destination, and personal file hosting services.
Why it was flagged
Contains a direct curl | bash installation script hosted on a third-party domain (https://av.codes/get-harbor.sh), which is a high-risk pattern for malware delivery because it downloads and executes code from an external, not-verified source.
W013: Attempt to modify system services in skill instructions.
What this means
The skill prompts the agent to compromise the security or integrity of the user’s machine by modifying system-level services or configurations, such as obtaining elevated privileges, altering startup scripts, or changing system-wide settings.
Why it was flagged
The skill contains explicit sudo commands that modify system state (sudo usermod -aG docker, sudo systemctl restart docker, sudo apt-get install ...), enables host Docker-socket and host-folder mounts, and even runs a remote install script via curl|bash — all actions that can change or elevate the machine's state and bypass protections.
Low
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
The skill’s Open WebUI workflow enables chat with “Web search / Web RAG” via the bundled SearXNG integration (harbor up searxng), which consumes user-authored chat content and can incorporate retrieved third-party text into the LLM’s runtime context, creating an indirect prompt-injection exposure path.
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Why it was flagged
The installation step runs a remote shell script with curl https://av.codes/get-harbor.sh | bash, which fetches and executes remote code at runtime and is required for installing the Harbor CLI.
- Audited
- Security analysis
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