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    ELYRAON OpenClaw DevOps Operator

    1

    Analyze local JSON operational evidence or explicitly collect read-only systemd state/logs for one service; report findings without restarting services.

    $12.99

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    About this skill

    A service is failing and the logs are noisy. ELYRAON OpenClaw DevOps Operator is a local diagnostic helper that turns service status and log data into structured findings, each tied to the specific log lines that support it, so you or your agent can reason from evidence instead of guesses.

    You give it either JSON operational evidence (service or Docker container snapshots), or the name of one local systemd unit. For a systemd unit it can explicitly collect state and logs locally with fixed systemctl show and journalctl commands, without sudo. A Python helper then parses the status fields and logs and returns a JSON report listing health findings, evidence line indices and hypotheses. If you pass --output NEW_FILE, it writes the report to a new file; otherwise it only reports.

    Analysis versus action

    The operator analyzes and reports. It does not restart, stop, change, fix or recover services or containers, and it does not deploy anything. Its only commands are the local read-only collection commands for a systemd unit. Docker support means analyzing container evidence you supply (state, health, restart counts); it does not query or control the Docker daemon. No network access is used.

    What it does

    • Health diagnostics flag attention-required and unknown states in service and container evidence.
    • Evidence extraction maps each finding to line indices in the logs.
    • Optional local collection reads state and logs for one named systemd unit (non-sudo).
    • Structured JSON report pairs findings with evidence and hypotheses for human review.

    OpenClaw compatibility

    Packaged for OpenClaw-style skill discovery with Python requirement metadata. OpenClaw compatibility has been verified for installed-skill discovery and Python requirement gating only (OpenClaw 2026.7.1-2; other versions untested). Live OpenClaw agent execution has not been tested. Hypotheses are starting points for review, not confirmed root causes. See Known Limitations.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Security scanned

    Verified clean 5 days ago

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    Requires

    Python

    Listed5 days ago

    What's inside

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