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/unknown-333/awesome-data-engineering-skills/optimizing-sql-queriesnpx skills add Unknown-333/awesome-data-engineering-skills --skill optimizing-sql-queriesgit clone --depth 1 https://github.com/Unknown-333/awesome-data-engineering-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/unknown-333/awesome-data-engineering-skills/optimizing-sql-queries)<a href="https://agentmods.dev/skills/unknown-333/awesome-data-engineering-skills/optimizing-sql-queries"><img src="https://agentmods.dev/badge/skills/unknown-333/awesome-data-engineering-skills/optimizing-sql-queries.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 | $0.00084 | $0.00850 |
| Opus 5 | $0.00042 | $0.00425 |
| Sonnet 5 | $0.00017 | $0.00170 |
| Haiku 4.5 | $0.00008 | $0.00085 |
Grade A, and why
optimizing-sql-queries 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 3d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 3d ago First seen · 79 lines · 84 tokens per session scan A ef1a7d3b959d
optimizing-sql-queries is a skill published in the GitHub repository Unknown-333/awesome-data-engineering-skills (15 stars, last pushed 4d ago), with no licence file. It adds 84 tokens to every session and 850 once invoked, about $0.0004 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.
Other skills, from other repositories
sql-reporting
Conventions and review steps for writing analytics SQL against the warehouse. Use whenever the task involves querying tables, building a report, or aggregating metrics.
data-parity
Validate that two tables or query results are identical — or diagnose exactly how they differ. Discover schema, identify keys, profile cheaply, then diff. Use for migration validation, ETL regression, and query refactor verification.
dbt-develop
REQUIRED before writing or modifying ANY dbt model. Invoke this skill FIRST whenever a task says "create", "build", "add", "modify", "update", "fix", or "refactor" a dbt model, staging file, mart, incremental, or snapshot. Skipping this skill is the leading cause of silent-correctness bugs — models that compile and…
dbt-troubleshoot
Debug dbt errors — compilation failures, runtime database errors, test failures, wrong data, and performance issues. Use when something is broken, producing wrong results, or failing to build. Powered by altimate-dbt.
dbt-schema-verify
REQUIRED after building or modifying ANY dbt model that has columns declared in schema.yml / models.yml. Run altimate-dbt schema-verify --model to diff actual columns against the spec, and treat any mismatch verdict as "not done." The most common reason "the build is green but the tests still fail" is that the model…
cost-report
Analyze Snowflake query costs and identify optimization opportunities.