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-reportinggit 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-reporting)<a href="https://agentmods.dev/skills/altinity/altinity-skills/altinity-expert-clickhouse-reporting"><img src="https://agentmods.dev/badge/skills/altinity/altinity-skills/altinity-expert-clickhouse-reporting/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-reporting"><img src="https://agentmods.dev/badge/skills/altinity/altinity-skills/altinity-expert-clickhouse-reporting.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 | $0.00038 | $0.00667 |
| Opus 5 | $0.00019 | $0.00333 |
| Sonnet 5 | $0.00008 | $0.00133 |
| Haiku 4.5 | $0.00004 | $0.00067 |
Grade A, and why
altinity-expert-clickhouse-reporting 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 9d 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Query Performance Analysis
Diagnose SELECT query performance issues, analyze query patterns, and identify optimization opportunities.
Diagnostics
Run all queries from checks.sql in this skill's directory and analyze the results.
Query Optimization Hints
Index Usage Check
-- Check if data skipping indices exist
select
database,
table,
name as index_name,
type,
expr,
granularity
from system.data_skipping_indices
where database = '{database}' and table = '{table}'
Mark Count for Query
For a specific slow query, check how many marks (granules) were read:
select
query_id,
read_rows,
selected_marks,
selected_parts,
formatReadableSize(read_bytes) as read_bytes,
round(read_rows / nullIf(selected_marks, 0)) as rows_per_mark
from system.query_log
where query_id = '{query_id}'
and type = 'QueryFinish'
High selected_marks relative to result = index not selective enough.
Ad-Hoc Query Guidelines
Required Safeguards
-- Always time-bound
where event_date >= today() - 1
-- or
where event_time > now() - interval 1 hour
-- Always limit
limit 100
-- Filter by type
where type = 'QueryFinish' -- completed
where type like 'Exception%' -- failed
Useful Filters
-- By user
where user = 'analytics_user'
-- By query pattern
where query ilike '%SELECT%FROM my_table%'
-- By duration threshold
where query_duration_ms > 10000 -- > 10 seconds
-- By normalized hash (for specific query pattern)
where normalized_query_hash = 1234567890
Cross-Module Triggers
| Finding | Load Module | Reason |
|---|---|---|
| High memory queries | altinity-expert-clickhouse-memory |
Memory limits/optimization |
| Reading too many parts | altinity-expert-clickhouse-merges |
Part consolidation |
| Poor index selectivity | altinity-expert-clickhouse-schema |
Index/ORDER BY design |
| Cache misses | altinity-expert-clickhouse-caches |
Cache sizing |
| MV slow | altinity-expert-clickhouse-ingestion |
MV optimization |
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.
- 9d ago First seen · 114 lines · 38 tokens per session scan A 55aa7854d083
altinity-expert-clickhouse-reporting is a skill published in the GitHub repository Altinity/altinity-skills (16 stars, last pushed today), licensed Apache-2.0. It adds 38 tokens to every session and 667 once invoked, about $0.0002 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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