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.
npx skills add Altinity/altinity-skills --skill altinity-expert-clickhouse-index-analysisgit clone --depth 1 https://github.com/Altinity/altinity-skillsWrote 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.
[](https://agentmods.dev/skills/altinity/altinity-skills/altinity-expert-clickhouse-index-analysis)<a href="https://agentmods.dev/skills/altinity/altinity-skills/altinity-expert-clickhouse-index-analysis"><img src="https://agentmods.dev/badge/skills/altinity/altinity-skills/altinity-expert-clickhouse-index-analysis/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.
<a href="https://agentmods.dev/skills/altinity/altinity-skills/altinity-expert-clickhouse-index-analysis"><img src="https://agentmods.dev/badge/skills/altinity/altinity-skills/altinity-expert-clickhouse-index-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00060 | $0.01318 |
| Opus 5 | $0.00030 | $0.00659 |
| Sonnet 5 | $0.00012 | $0.00264 |
| Haiku 4.5 | $0.00006 | $0.00132 |
Grade A, and why
altinity-expert-clickhouse-index-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Diagnostics
Run all queries from checks.sql in this skill's directory and analyze the results.
Deep Dive Queries (Placeholder-Based)
EXPLAIN Index Usage for Specific Query
EXPLAIN indexes = 1
{query_without_format}
Look for:
PrimaryKeycondition should not betrue(means no filtering)Granules: X/Yratio shows selectivity (low X/Y = good)Skipindexes should reduce parts/granules further
Column Cardinality Analysis
SELECT
{columns} APPLY uniq
FROM {database}.{table}
WHERE {time_column} > now() - INTERVAL {days} DAY
Optimal ORDER BY ordering: Low cardinality columns first, high cardinality last.
Query Pattern WHERE Columns Extraction
WITH
any(query) AS q,
arrayJoin(extractAll(query, '\\b(?:PRE)?WHERE\\s+(.*?)\\s+(?:GROUP BY|ORDER BY|UNION|SETTINGS|FORMAT|$)')) AS w,
arrayFilter(x -> (position(w, extract(x, '\\.(`[^`]+`|[^\\.]+)$')) > 0), columns) AS c,
arrayJoin(c) AS c2
SELECT
c2,
count() AS usage_count
FROM system.query_log
WHERE event_time >= now() - toIntervalDay({days})
AND arrayExists(x -> x LIKE '%{table}%', tables)
AND query ILIKE 'SELECT%'
AND type = 'QueryFinish'
GROUP BY c2
ORDER BY usage_count DESC
FORMAT PrettyCompactMonoBlock
Normalized WHERE Clause Patterns
WITH
arrayJoin(extractAll(normalizeQuery(query), '\\b(?:PRE)?WHERE\\s+(.*?)\\s+(?:GROUP BY|ORDER BY|UNION|SETTINGS|FORMAT|$)')) AS w
SELECT
w AS where_pattern,
count() AS frequency
FROM system.query_log
WHERE event_time >= now() - toIntervalDay({days})
AND arrayExists(x -> x LIKE '%{table}%', tables)
AND query ILIKE 'SELECT%'
AND type = 'QueryFinish'
GROUP BY w
ORDER BY frequency DESC
LIMIT 20
Granule Selectivity from Query Log
SELECT
query_id,
normalized_query_hash,
selected_parts,
selected_marks,
read_rows,
round(read_rows / nullIf(selected_marks, 0)) AS rows_per_mark,
query_duration_ms,
formatReadableSize(read_bytes) AS read_bytes
FROM system.query_log
WHERE event_time >= now() - toIntervalDay({days})
AND arrayExists(x -> x LIKE '%{table}%', tables)
AND query ILIKE 'SELECT%'
AND type = 'QueryFinish'
ORDER BY selected_marks DESC
LIMIT 20
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 187 lines · 60 tokens per session scan A 7c797d0713a1
altinity-expert-clickhouse-index-analysis is a skill published in the GitHub repository Altinity/altinity-skills (16 stars, last pushed yesterday), licensed Apache-2.0. It adds 60 tokens to every session and 1,318 once invoked, about $0.0003 per session on Opus 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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