Agent skill

Data Analysis

Analyze cluster data and metrics using raw SQL recipes against system.querylog and system.parts when no dedicated tool exists.

GPL-3.0Auto-check passedData & Analytics

Install Data Analysis

skills CLI

$ npx skills add chmonitor/chmonitor --skill data-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install chmonitor/chmonitor data-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/chmonitor/chmonitor.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/data-analysis .claude/skills/data-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "data-analysis" agent skill from https://github.com/chmonitor/chmonitor/tree/main/.agents/skills/data-analysis into .claude/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-analysis", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/chmonitor/chmonitor/tree/main/.agents/skills/data-analysis

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add chmonitor/chmonitor --skill data-analysis -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install chmonitor/chmonitor data-analysis --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/chmonitor/chmonitor.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/data-analysis .agents/skills/data-analysis && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "data-analysis" agent skill from https://github.com/chmonitor/chmonitor/tree/main/.agents/skills/data-analysis into .agents/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-analysis", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add chmonitor/chmonitor --skill data-analysis -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install chmonitor/chmonitor data-analysis --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/chmonitor/chmonitor.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/data-analysis .cursor/skills/data-analysis && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "data-analysis" agent skill from https://github.com/chmonitor/chmonitor/tree/main/.agents/skills/data-analysis into .cursor/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-analysis", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/chmonitor/chmonitor.git --path .agents/skills/data-analysis

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add chmonitor/chmonitor --skill data-analysis -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install chmonitor/chmonitor data-analysis --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/chmonitor/chmonitor.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/data-analysis .gemini/skills/data-analysis && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "data-analysis" agent skill from https://github.com/chmonitor/chmonitor/tree/main/.agents/skills/data-analysis into .gemini/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-analysis", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install chmonitor/chmonitor data-analysis

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add chmonitor/chmonitor --skill data-analysis -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/chmonitor/chmonitor.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/data-analysis .github/skills/data-analysis && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "data-analysis" agent skill from https://github.com/chmonitor/chmonitor/tree/main/.agents/skills/data-analysis into .github/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-analysis", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add chmonitor/chmonitor --skill data-analysis -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install chmonitor/chmonitor data-analysis --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/chmonitor/chmonitor.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/data-analysis .opencode/skills/data-analysis && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "data-analysis" agent skill from https://github.com/chmonitor/chmonitor/tree/main/.agents/skills/data-analysis into .opencode/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-analysis", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: data-analysis
GitHub stars: 298
Token cost: ~2k tokens
SKILL.md length: 492 words
Files: 1
Skills in repo: 53
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: GPL-3.0

At a glance

Analyze cluster data and metrics using raw SQL recipes against system.querylog and system.parts when no dedicated tool exists.

Tasks that involve Data analysis
SKILL.md covers Largest Data Scan Ever, Most Expensive Queries, Query Fingerprint Patterns and Query Volume / Activity Over…, plus 4 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
Tasks that involve SQL

What it does

Data Analysis is an agent skill from chmonitor/chmonitor. Analyze cluster data and metrics using raw SQL recipes against system.querylog and system.parts when no dedicated tool exists.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Data & Analytics, covering Data analysis and SQL. It works with SQL. The repository describes itself as: Open-source operational advisor for ClickHouse — real-time monitoring plus AI-driven index/partition/materialized-view recommendations. The licence is GPL-3.0.

When your agent uses it

Tasks that involve Data analysis
Tasks that involve SQL

Example prompts

“/data-analysis”

What it can do on your machine

Read from SKILL.md and the folder at commit fc39ef0. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are sql).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Data Analysis loads about 2k tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 492 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~35
When it runs · the whole SKILL.md, loaded when a task matches: ~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from chmonitor/chmonitor at commit fc39ef0, republished under its GPL-3.0 licence (© chmonitor). 492 words, ~2,042 tokens.

Download SKILL.mdSave it as .claude/skills/data-analysis/SKILL.md (or your agent's skills folder).

name: data-analysis
description: Analyze cluster data and metrics using raw SQL recipes against system.query_log and system.parts when no dedicated tool exists.

Data Analysis

Use this skill when dedicated tools (get_slow_queries, list_slow_query_patterns, etc.) don't cover the specific aggregation you need. All recipes below are read-only. Always verify column names against system-tables-reference before running — system.query_log columns vary across ClickHouse versions.

Core filter for finished queries:

sql

WHERE type = 'QueryFinish'
  AND event_time >= now() - INTERVAL 24 HOUR
  AND is_initial_query = 1

Omit is_initial_query = 1 only when you want internal sub-queries too.

Largest Data Scan Ever

Returns the single query that read the most bytes from disk. Useful for spotting runaway full-table scans in history.

sql

SELECT
    query_id,
    user,
    event_time,
    formatReadableSize(read_bytes)  AS read_size,
    formatReadableQuantity(read_rows) AS read_rows_fmt,
    query_duration_ms,
    substring(query, 1, 400)        AS query_text
FROM system.query_log
WHERE type = 'QueryFinish'
  AND is_initial_query = 1
ORDER BY read_bytes DESC
LIMIT 1

For the largest scan in a time window add AND event_time >= now() - INTERVAL 7 DAY. read_bytes is the compressed bytes read from storage; read_rows is the row count before filtering. Column availability: both present since v21.x.

Most Expensive Queries

Rank finished queries by memory, bytes read, or wall-clock duration. Run one variant or UNION all three for a combined view.

sql

-- By memory_usage
SELECT
    query_id,
    user,
    event_time,
    query_duration_ms,
    formatReadableSize(memory_usage)  AS memory,
    formatReadableSize(read_bytes)    AS read_size,
    substring(query, 1, 300)          AS query_text
FROM system.query_log
WHERE type = 'QueryFinish'
  AND is_initial_query = 1
  AND event_time >= now() - INTERVAL 24 HOUR
ORDER BY memory_usage DESC
LIMIT 20

Swap ORDER BY memory_usage DESC for read_bytes DESC or query_duration_ms DESC to rank by a different cost axis. The list_slow_query_patterns / get_slow_queries cover the common case; use raw SQL when you need a custom time window or additional columns like tables or ProfileEvents.

Query Fingerprint Patterns

Groups parameterized variants of the same logical query using normalized_query_hash. Shows which query shapes dominate load.

sql

SELECT
    normalized_query_hash,
    count()                                          AS calls,
    avg(query_duration_ms)                           AS avg_duration_ms,
    quantile(0.95)(query_duration_ms)                AS p95_duration_ms,
    sum(read_bytes)                                  AS total_read_bytes,
    formatReadableSize(sum(read_bytes))              AS total_read_size,
    formatReadableQuantity(sum(read_rows))           AS total_read_rows,
    any(substring(query, 1, 200))                    AS sample_query
FROM system.query_log
WHERE type = 'QueryFinish'
  AND is_initial_query = 1
  AND event_time >= now() - INTERVAL 24 HOUR
GROUP BY normalized_query_hash
ORDER BY total_read_bytes DESC
LIMIT 30

normalized_query_hash replaces literals with ? placeholders before hashing so SELECT 1 and SELECT 2 share a hash. Available since v20.6. quantile(0.95) requires no extra setup; use quantiles(0.5, 0.95, 0.99) for multiple percentiles in one pass.

Query Volume / Activity Over Time

Counts of finished queries bucketed by hour. Useful for spotting traffic spikes or quiet periods.

sql

SELECT
    toStartOfHour(event_time)                AS hour,
    count()                                  AS queries,
    countIf(exception_code != 0)             AS errors,
    avg(query_duration_ms)                   AS avg_duration_ms,
    formatReadableSize(sum(read_bytes))      AS total_read
FROM system.query_log
WHERE type = 'QueryFinish'
  AND is_initial_query = 1
  AND event_time >= now() - INTERVAL 48 HOUR
GROUP BY hour
ORDER BY hour

Swap toStartOfHour for toStartOfFifteenMinutes or toStartOfDay to change granularity. exception_code is 0 on success; a non-zero value with type = 'QueryFinish' means the query completed but reported an error.

Show full SKILL.md (214 more words)Show less

Top Tables by Size and Rows

Aggregates system.parts (active parts only) to rank user tables by compressed disk usage and row count.

sql

SELECT
    database,
    table,
    formatReadableSize(sum(bytes_on_disk))          AS disk_size,
    formatReadableSize(sum(data_compressed_bytes))  AS compressed,
    formatReadableSize(sum(data_uncompressed_bytes)) AS uncompressed,
    round(sum(data_uncompressed_bytes) /
          nullIf(sum(data_compressed_bytes), 0), 2) AS compression_ratio,
    formatReadableQuantity(sum(rows))               AS rows,
    count()                                         AS parts
FROM system.parts
WHERE active = 1
  AND database NOT IN ('system', 'information_schema', 'INFORMATION_SCHEMA')
GROUP BY database, table
ORDER BY sum(bytes_on_disk) DESC
LIMIT 30

bytes_on_disk includes index files and marks; data_compressed_bytes covers only column data. Filter active = 1 to exclude detached/obsolete parts. All columns present since v21.x. The get_disk_usage tool covers per-disk summaries; this recipe breaks down by table.

Period-over-Period Comparison

Compares query load between two equal-length windows using conditional aggregation — no subqueries, single scan.

sql

-- Compare last 24h vs previous 24h
SELECT
    normalized_query_hash,
    any(substring(query, 1, 200))                    AS sample_query,

    -- Current window
    countIf(event_time >= now() - INTERVAL 24 HOUR)             AS calls_now,
    avgIf(query_duration_ms, event_time >= now() - INTERVAL 24 HOUR) AS avg_ms_now,
    formatReadableSize(
        sumIf(read_bytes, event_time >= now() - INTERVAL 24 HOUR)
    )                                                            AS read_now,

    -- Previous window
    countIf(event_time < now() - INTERVAL 24 HOUR)              AS calls_prev,
    avgIf(query_duration_ms, event_time < now() - INTERVAL 24 HOUR) AS avg_ms_prev,
    formatReadableSize(
        sumIf(read_bytes, event_time < now() - INTERVAL 24 HOUR)
    )                                                            AS read_prev,

    -- Delta
    round(
        (countIf(event_time >= now() - INTERVAL 24 HOUR) -
         countIf(event_time  < now() - INTERVAL 24 HOUR)) * 100.0 /
        nullIf(countIf(event_time < now() - INTERVAL 24 HOUR), 0),
    1)                                                           AS call_delta_pct
FROM system.query_log
WHERE type = 'QueryFinish'
  AND is_initial_query = 1
  AND event_time >= now() - INTERVAL 48 HOUR
GROUP BY normalized_query_hash
HAVING calls_now > 5 OR calls_prev > 5
ORDER BY abs(call_delta_pct) DESC NULLS LAST
LIMIT 30

The single WHERE event_time >= now() - INTERVAL 48 HOUR covers both windows. *If aggregates split the data by condition. Adjust the INTERVAL literals consistently for wider windows (e.g. 7 DAY / 14 DAY).

Usage Notes

query_log is sampled on busy clusters; if log_queries_probability < 1 is set, counts will be proportional estimates, not exact totals.
Column availability varies across versions. If a column reference fails with code 47 ("Unknown column"), load system-tables-reference and check the real schema with get_table_schema('system.query_log').
memory_usage in query_log reflects peak memory during the query, not average. For CPU approximation use ProfileEvents['OSCPUVirtualTimeMicroseconds'].
system.query_log is flushed asynchronously; the most recent ~1–2 seconds of finished queries may not appear immediately.

Cross-references

Load system-tables-reference for exact column lists and common pitfalls before hand-writing SQL.
Load query-optimization for EXPLAIN-driven tuning once expensive patterns are identified.
Load troubleshooting for error-code-driven diagnosis of failed queries (type = 'ExceptionWhileProcessing').

Files

Just SKILL.md in .agents/skills/data-analysis of chmonitor/chmonitor.

Open the folder on GitHubat commit fc39ef0

Compare with similar skills

Data Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Data Analysis compared with similar skills
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Data Analysis this skillchmonitor/chmonitor	298	—	~2k	Automated safety check: Pass	GPL-3.0	2 days ago
Dinobase Business Data Querieskappa90/dinobase	263	—	~1.5k	Automated safety check: Pass	Custom licence	3 mo ago
Analytics Engineerborghei/Claude-Skills	874	—	~3.4k	Automated safety check: Pass	MIT	today
Network Data Analysisautomateyournetwork/netclaw	674	—	~1.3k	Automated safety check: Notes	Apache-2.0	2 days ago
Data Analytics Data Analystchendongqi/OPB-Skills	125	—	~1.1k	Automated safety check: Pass	None	7 mo ago
Excel and CSV Data Analysisbytedance/deer-flow	83k	4 repos	~2.2k	Automated safety check: Pass	MIT	today

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Works with

Questions about Data Analysis

What does Data Analysis do?

Analyze cluster data and metrics using raw SQL recipes against system.querylog and system.parts when no dedicated tool exists. Data Analysis is an agent skill from chmonitor/chmonitor.parts when no dedicated tool exists.

When should I use Data Analysis?

Data Analysis fits situations like: tasks that involve Data analysis; tasks that involve SQL.

How do I install Data Analysis in Claude Code?

Run `npx skills add chmonitor/chmonitor --skill data-analysis -a claude-code`. Or copy the skill folder (.agents/skills/data-analysis in chmonitor/chmonitor) into .claude/skills/data-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Data Analysis in Codex?

Run `npx skills add chmonitor/chmonitor --skill data-analysis -a codex`. Or copy the skill folder (.agents/skills/data-analysis in chmonitor/chmonitor) into .agents/skills/data-analysis in your project. Codex loads it when a task matches its description.

Can I use Data Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add chmonitor/chmonitor --skill data-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-analysis, .gemini/skills/data-analysis, .github/skills/data-analysis and .opencode/skills/data-analysis in your project.

What does Data Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Data Analysis is instructions for the agent only.

Does Data Analysis access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Data Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Data Analysis use?

Data Analysis is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Data Analysis use?

About 2k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Data Analysis?

Skills that share tags, products or a category with Data Analysis: Dinobase Business Data Queries (kappa90/dinobase, 263 stars), Analytics Engineer (borghei/Claude-Skills, 874 stars), Network Data Analysis (automateyournetwork/netclaw, 674 stars) and Data Analytics Data Analyst (chendongqi/OPB-Skills, 125 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Data Analysis?

chmonitor (a GitHub organization) maintains it in chmonitor/chmonitor, which has 298 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on October 5, 2026.

Source: chmonitor/chmonitor on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Data Analysis

Facts

At a glance

What it does

When your agent uses it

Example prompts

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Data Analysis

Largest Data Scan Ever

Most Expensive Queries

Query Fingerprint Patterns

Query Volume / Activity Over Time

Top Tables by Size and Rows

Period-over-Period Comparison

Usage Notes

Cross-references

Files

Compare with similar skills

Similar skills

More from chmonitor/chmonitor

Related

Questions about Data Analysis