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 jxoesneon/Ciel --skill analytical-data-opsgit clone --depth 1 https://github.com/jxoesneon/CielWrote 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/jxoesneon/ciel/analytical-data-ops)<a href="https://agentmods.dev/skills/jxoesneon/ciel/analytical-data-ops"><img src="https://agentmods.dev/badge/skills/jxoesneon/ciel/analytical-data-ops.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00019 | $0.00479 |
| Opus 5 | $0.00010 | $0.00239 |
| Sonnet 5 | $0.00004 | $0.00096 |
| Haiku 4.5 | $0.00002 | $0.00048 |
Grade A, and why
analytical-data-ops 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 7d 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.
What it actually says
CIEL ADAPTATION: Analytical Data Ops (ClickHouse & Pipelines)
This skill formalizes high-performance analytics. it prioritizes column-oriented efficiency and real-time pre-aggregation.
Table Design (MergeTree)
- Engines: Default to
MergeTree. UseReplacingMergeTreefor deduplication;AggregatingMergeTreefor pre-computed stats. - Partitioning: Partition by time (e.g.,
toYYYYMM(date)). Avoid excessive partitions (> 1000). - Ordering Key: Put frequently filtered, high-cardinality columns first.
Query Optimization
- Indexed Filter: Use primary key columns first in
WHEREclauses. - Aggregate Merge: Use
sumMerge,countMerge, etc., when queryingAggregatingMergeTreetables. - Quantiles: Use
quantile(0.95)(value)for efficient percentile calculation.
Ingestion Pipelines
- Batch Mandate: NEVER perform individual
INSERTin a loop. Batch 1000+ rows per request. - Materialized Views: Use
CREATE MATERIALIZED VIEW ... TO tablefor real-time aggregation.
Anti-Patterns
- SELECT *: Reading every column in an OLAP database (causes massive I/O bloat).
- Too Many Joins: Performing complex joins on large tables. Denormalize early for analytics.
- Small Inserts: Frequent, low-row inserts causing background merge overload.
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.
- 7d ago First seen · 49 lines · 19 tokens per session scan A 51770065db39
analytical-data-ops is a skill published in the GitHub repository jxoesneon/Ciel (1 stars, last pushed today), licensed Apache-2.0. It adds 19 tokens to every session and 479 once invoked, about $0.0001 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 2026-08-31.
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