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Greptimedb Trigger

Checked
greptimeteam·vlatest·database·Apache-2.0

This skill triggers database actions based on Greptime data changes, enabling automated workflows and real-time responses to your metrics.

Repository

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 greptimeteam/docs --skill greptimedb-trigger -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

greptimeteam

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

    Only contacts known or declared hosts: 127.0.0.1.

    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.

    Hosts contacted

    127.0.0.1local

  • 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 greptimeteam/docs at c3b0c72237.

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

Commit
c3b0c72237
Manifest
skills/greptimedb-trigger/SKILL.md
Scanned
1 file, 157 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

What it does

The greptimedb-trigger skill allows AI agents to trigger actions based on time intervals within a database. It can periodically query a database and execute predefined tasks when specific conditions are met, enabling automated workflows and scheduled operations. This is particularly useful for monitoring data changes or initiating processes at regular intervals.

When to use it

  • Automated Reporting: Schedule the generation of daily/weekly reports based on data updates in a database.
  • Data Archiving: Automatically archive older records from a database after a defined retention period.
  • Scheduled Maintenance: Trigger routine maintenance tasks, such as cleaning up temporary files or optimizing database indexes, at specific times.
  • Real-time Alerts (Simulated): While not truly real-time, simulate alerts by checking for critical data changes within a time window and triggering notifications.

Key capabilities

  • Database querying based on time intervals
  • Triggering actions upon meeting specified conditions
  • Periodic task execution
  • Automated workflows

Example prompts

  • "Run the 'daily_report' action when the last update to the 'sales' table was more than 24 hours ago."
  • "Archive records older than 90 days from the 'customer_data' database."
  • "Execute the 'optimize_db' task every Sunday at midnight."

Tips & gotchas

The skill requires access to both the AI agent’s execution environment and the target database. Ensure that appropriate permissions are configured for the agent to query and trigger actions within the database system.