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Gcp Logs

Checked
hyperlane-xyz·vlatest·cloud·Apache-2.0

Provides Google Cloud guidance and assistance for deploying and managing cloud infrastructure.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add hyperlane-xyz/hyperlane-monorepo --skill gcp-logs -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

hyperlane-xyz

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned hyperlane-xyz/hyperlane-monorepo at 9dd44f2776.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 143 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The gcp-logs skill enables AI agents to query, filter, and analyze logs directly from Google Cloud Platform (GCP) infrastructure. It provides real-time visibility into system events, application errors, and operational metrics stored in Cloud Logging.

When to use it

  • Troubleshoot production outages by retrieving specific error traces for a given time window.
  • Monitor application health by setting up automated alerts based on log severity levels.
  • Audit security events by searching for unauthorized access attempts or suspicious API calls.
  • Debug distributed system failures by correlating logs across multiple GCP services like Compute Engine and Kubernetes Engine.

Key capabilities

  • Query logs using standard SQL-like syntax (BigQuery format) within Cloud Logging.
  • Filter results by resource labels, severity levels, and specific text patterns.
  • Export log data for further analysis or archival purposes.
  • Access logs from various GCP resources including Compute Engine, App Engine, and Cloud Run.

Example prompts

  • "Show me all ERROR level logs from the 'payment-service' resource in the last hour."
  • "Search for any failed authentication attempts on our GKE cluster nodes today."
  • "Retrieve the full log stream for a specific Compute Engine instance with the label 'environment=production'."

Tips & gotchas

Ensure your AI agent has the necessary IAM permissions (such as logging.viewer) to access the target projects. Complex queries may require precise formatting of resource names and label keys to return accurate results.