altinity-expert-clickhouse-connection

altinity-expert-clickhouse-connection is a skill for Claude Code, Codex from Altinity/altinity-skills. It costs 69 tokens per session (1,089 once invoked), scanned A, original, Apache-2.0.

A setup skill for connecting to ClickHouse, a database designed for analysing large volumes of data. It checks the connection and establishes shared settings such as the cluster and default diagnostic time range.

In plain words
What is it for?
Use it first when investigating ClickHouse performance, logs, metrics, or cluster-wide data with the related diagnostic skills.
Why use it?
It verifies the database context before other diagnostic queries run, helping avoid analysing the wrong server, cluster, or time period.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it first when investigating ClickHouse performance, logs, metrics, or cluster-wide data with the related diagnostic skills.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/altinity/altinity-skills/altinity-expert-clickhouse-connection
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Altinity/altinity-skills --skill altinity-expert-clickhouse-connection
Clone the repo
git clone --depth 1 https://github.com/Altinity/altinity-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for altinity-expert-clickhouse-connection

README.md
[![agentmods](https://agentmods.dev/badge/skills/altinity/altinity-skills/altinity-expert-clickhouse-connection/github.svg)](https://agentmods.dev/skills/altinity/altinity-skills/altinity-expert-clickhouse-connection)
Your own site
<a href="https://agentmods.dev/skills/altinity/altinity-skills/altinity-expert-clickhouse-connection"><img src="https://agentmods.dev/badge/skills/altinity/altinity-skills/altinity-expert-clickhouse-connection/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for altinity-expert-clickhouse-connection

Your own site · 80×15
<a href="https://agentmods.dev/skills/altinity/altinity-skills/altinity-expert-clickhouse-connection"><img src="https://agentmods.dev/badge/skills/altinity/altinity-skills/altinity-expert-clickhouse-connection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,089 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00069 $0.01089
Opus 5.5 $0.00028 $0.00436
Sonnet 5.5 $0.00014 $0.00218
Haiku 4.5 $0.00007 $0.00109

Measured 1mo ago against content hash 9c592e964f9c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

altinity-expert-clickhouse-connection scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

altinity-expert-clickhouse/skills/altinity-expert-clickhouse-connection/SKILL.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Connection, cluster and time window

Run this before any other altinity-expert-clickhouse-* skill. It produces the facts every later skill reuses: connection mode, cluster name (or single node), ClickHouse version, Keeper presence, time window.

Step 1: choose the connection mode

Check your available tools in this order and stop at the first match:

  1. MCP mode: a tool whose name contains clickhouse and one of query, execute, sql (for example clickhouse_execute_query, mcp__clickhouse__execute_query). Send exactly one SQL statement per call. If several ClickHouse MCP servers exist, ask the user which one to use.
  2. Exec mode: a shell tool plus clickhouse-client (or clickhouse client). Use only the connection flags the user provided (--host, --port, --user, --password, --secure); do not guess credentials from environment variables. Run one statement per invocation with --query "<statement>". Never use --queries-file or --multiquery.
  3. Neither: stop and ask the user how to reach ClickHouse. Do not install software and do not write helper scripts.

Step 2: verify connectivity and collect header facts

Run this one statement. It works on a standalone server (no macro, no Keeper) and on a cluster:

SELECT
    hostName() AS hostname,
    version() AS version,
    (SELECT substitution FROM system.macros WHERE macro = 'cluster') AS cluster_macro,
    (SELECT groupUniqArray(cluster) FROM system.clusters WHERE NOT is_local) AS candidate_clusters,
    (SELECT count() FROM system.tables WHERE database = 'system' AND name = 'zookeeper_connection') AS has_keeper,
    formatReadableTimeDelta(uptime()) AS uptime,
    formatReadableSize((SELECT value FROM system.asynchronous_metrics WHERE metric = 'OSMemoryTotal')) AS os_memory_total

If it fails with an authentication or network error, stop and ask for the connection details. Do not retry with guessed credentials.

Step 3: decide the cluster mode

  • cluster_macro is not empty → cluster mode. Leave '{cluster}' in every query pack exactly as written; the server expands the macro.
  • cluster_macro is empty and candidate_clusters is not empty → ask the user which cluster to use, then replace '{cluster}' with that name in each statement before running it.
  • Both empty → single-node mode. Replace clusterAllReplicas('{cluster}', system.<table>) with system.<table> in each statement before running it.

Read the full file on GitHub · 70 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago Changed · +9 lines · +18 tokens per session 9c592e964f9c
  2. 1mo ago First seen · 61 lines · 51 tokens per session scan A bb9eb27b7a84

Subscribe to this mod's changes

altinity-expert-clickhouse-connection is a skill published in the GitHub repository Altinity/altinity-skills (17 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 69 tokens to every session and 1,089 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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