OllamaWatch — Catch Ollama Crashes Before Your Users Do (Telegram Alerts)

    2

    Get a Telegram alert the moment a model crashes, the GPU runs out of memory, or the API stops responding.

    $7

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    OllamaWatch — Catch Ollama Crashes Before Your Users Do (Telegram Alerts)

    Example session with this skill installed

    My Ollama server keeps going down overnight and I don't know why. Run OllamaWatch and set up Telegram alerts so I get notified the moment it goes down or recovers.

    • Read your context and instructions
    • Compiled the ollamawatch

    🔴 OLLAMA DOWN
    http://localhost:11434
    Error: Connection refused (is Ollama running?)

    💡 Ollama is not running. Start with: ollama serve (or check the systemd/service).

    2026-06-07 21:42:18 UTC


    ✅ OLLAMA RECOVERED
    http://localhost:11434
    Latency: 142 ms
    Loaded: llama3.1:8b-instruct-q4_K_M

    2026-06-07 21:47:33 UTC

    Connects securely to your tools. The creator never sees your data.

    What you get

    Monitor AI server health 24/7 without manual log checkingReceive Telegram alerts for CUDA Out-of-Memory (OOM) errorsDetect stalled model downloads automatically in the backgroundCheck VRAM availability before loading large model weightsMonitor a remote Ollama box you cannot see (headless homelab or VPS)Get woken up if an overnight batch job hangs the GPUDetect when a model pull has stalled mid-downloadReplace expensive SaaS monitoring with a $0 setupCatch memory leaks before they take down your inference stack

    About this skill

    Stop babysitting your Ollama server. Get a Telegram alert the moment a model crashes, the GPU runs out of memory, or the API stops responding.

    Built for homelabbers and self-hosters running Ollama 24/7 who don't want to pay for SaaS monitoring or refresh dashboards manually.

    Features:

    • DOWN alerts (🔴): instant notification when the API is unreachable, hung, or returning errors
    • DEGRADED alerts (⚠️): CUDA OOM, runner crashes, log errors, GPU memory above 95%
    • RECOVERED alerts (✅): service is back, includes latency and currently loaded models
    • Smart alerting: fires only on state transitions, no spam
    • Built-in fix hints: every alert includes a suggested remediation
    • NVIDIA GPU monitoring via nvidia-smi (gracefully skipped on AMD/Intel/CPU-only setups)
    • Cross-platform: Linux, macOS, Windows (auto-detects log paths)
    • Single-file Python script: no Docker, no Node.js, no SaaS subscription
    • MIT licensed

    Install: pip install -r requirements.txt python3 ollamawatch.py check # one-shot health check python3 ollamawatch.py watch # continuous monitoring

    Requires: Python 3.8+, Ollama (local or remote), free Telegram bot (5-min setup).

    Use cases:

    • Monitor a remote Ollama box you cannot see (headless homelab, VPS)
    • Get woken up if an overnight batch job hangs the GPU
    • Catch memory leaks before they take down your inference stack
    • Detect when a model pull has stalled mid-download
    • Replace expensive SaaS monitoring ($0/month vs $30+/month)

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Recently published to Agensi

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    Security scanned

    Verified clean 3 months ago

    • Passed all security checks, Safe to install

    Listed3 months ago

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