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Clickhouse Io

Checked
affaan-m·vlatest·database·MIT

Clickhouse Io enables seamless data transfer between ClickHouse and other systems for efficient data integration and analysis workflows.

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 affaan-m/ecc --skill clickhouse-io -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

affaan-m

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 affaan-m/everything-claude-code at d3b8a3e908.

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

Scanned
3 files, 1,241 lines
Copies in repo
3 — all of them scanned
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 clickhouse-io skill enables AI agents to interact with ClickHouse databases, allowing for querying, data manipulation, and analysis directly within the database environment. It supports executing SQL queries, retrieving structured results, and handling large datasets efficiently.

When to use it

  • When you need to run ad-hoc analytics on large volumes of data stored in a ClickHouse instance.
  • To automate reporting tasks by fetching and processing query results programmatically.
  • For real-time data insights where low-latency querying is required.
  • When integrating AI workflows with existing database infrastructure for enhanced decision-making.

Key capabilities

  • Execute SQL queries against ClickHouse databases
  • Retrieve structured result sets from queries
  • Handle large-scale datasets efficiently

Example prompts

  • "Run a SELECT query on the 'sales' table where revenue exceeds $10,000."
  • "Fetch the latest 10 records from the 'user_activity' table."
  • "Generate a summary report of monthly sales data using aggregate functions."

Tips & gotchas

  • Ensure that your AI agent has proper access credentials and network connectivity to the ClickHouse instance.
  • Be mindful of query performance on large tables; optimize queries with appropriate indexes or filters.