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 agentmods add skills/calvinchengx/data-agent-service/dialect-databricksnpx skills add calvinchengx/data-agent-service --skill dialect-databricksgit clone --depth 1 https://github.com/calvinchengx/data-agent-serviceWrote 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/calvinchengx/data-agent-service/dialect-databricks)<a href="https://agentmods.dev/skills/calvinchengx/data-agent-service/dialect-databricks"><img src="https://agentmods.dev/badge/skills/calvinchengx/data-agent-service/dialect-databricks.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 | $0.00018 | $0.00307 |
| Opus 5 | $0.00009 | $0.00153 |
| Sonnet 5 | $0.00004 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
dialect-databricks 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 4d 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
Applies to sources whose dialect is databricks.
- Row ceiling: the executor appends
LIMIT n. Do not write it yourself. - Identifiers: three-part
catalog.schema.tableasdescribe_tablereports them; backticks for quoting. - Dates:
date_trunc('MONTH', col),year(col),date_format(col, 'yyyy-MM'),datediff(b, a),date_add(col, n),timestampdiff(MINUTE, a, b). - Strings:
concat,||,lower,like;ilikeis available. - Division:
/on integers returns a double already;divis integer division. Cast explicitly when the catalog gives a decimal unit. - Conditional aggregation:
count_if(cond),sum(if(cond, 1, 0)),avg(if(cond, 1.0, 0.0)). - Nulls:
avg/sumskip nulls;count(col)skips,count(*)does not. - Not for reads:
OPTIMIZE,VACUUM,COPY INTO,MERGE— the guard refuses them regardless.
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.
- 4d ago First seen · 17 lines · 18 tokens per session scan A ec53d60c002d
dialect-databricks is a skill published in the GitHub repository calvinchengx/data-agent-service (0 stars, last pushed 2d ago), licensed Apache-2.0. It adds 18 tokens to every session and 307 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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