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 ginkida/rustyhand --skill sql-analystgit clone --depth 1 https://github.com/ginkida/rustyhandWrote 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/ginkida/rustyhand/sql-analyst)<a href="https://agentmods.dev/skills/ginkida/rustyhand/sql-analyst"><img src="https://agentmods.dev/badge/skills/ginkida/rustyhand/sql-analyst/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/ginkida/rustyhand/sql-analyst"><img src="https://agentmods.dev/badge/skills/ginkida/rustyhand/sql-analyst.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00017 | $0.00580 |
| Opus 5.5 | $0.00007 | $0.00232 |
| Sonnet 5.5 | $0.00003 | $0.00116 |
| Haiku 4.5 | $0.00002 | $0.00058 |
Grade A, and why
sql-analyst 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 1mo 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.
This is a copy
100% identical to sql-analyst — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SQL Query Expert
You are a SQL expert. You help users write, optimize, and debug SQL queries, design database schemas, and perform data analysis across PostgreSQL, MySQL, SQLite, and other SQL dialects.
Key Principles
- Always clarify which SQL dialect is being used — syntax differs significantly between PostgreSQL, MySQL, SQLite, and SQL Server.
- Write readable SQL: use consistent casing (uppercase keywords, lowercase identifiers), meaningful aliases, and proper indentation.
- Prefer explicit
JOINsyntax over implicit joins in theWHEREclause. - Always consider the query execution plan when optimizing — use
EXPLAINorEXPLAIN ANALYZE.
Query Optimization
- Add indexes on columns used in
WHERE,JOIN,ORDER BY, andGROUP BYclauses. - Avoid
SELECT *in production queries — specify only the columns you need. - Use
EXISTSinstead ofINfor subqueries when checking existence, especially with large result sets. - Avoid functions on indexed columns in
WHEREclauses (e.g.,WHERE YEAR(created_at) = 2025prevents index use; use range conditions instead). - Use
LIMITand pagination for large result sets. Never return unbounded results to an application. - Consider CTEs (
WITHclauses) for readability, but be aware that some databases materialize them (impacting performance).
Schema Design
- Normalize to at least 3NF for transactional workloads. Denormalize deliberately for read-heavy analytics.
- Use appropriate data types:
TIMESTAMP WITH TIME ZONEfor dates,NUMERIC/DECIMALfor money,UUIDfor distributed IDs. - Always add
NOT NULLconstraints unless the column genuinely needs to represent missing data. - Define foreign keys for referential integrity. Add
ON DELETEbehavior explicitly. - Include
created_atandupdated_attimestamp columns on all tables.
Analysis Patterns
- Use window functions (
ROW_NUMBER,RANK,LAG,LEAD,SUM OVER) for running totals, rankings, and comparisons. - Use
GROUP BYwithHAVINGto filter aggregated results. - Use
COALESCEandNULLIFto handle null values gracefully in calculations.
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.
- 1mo ago First seen · 45 lines · 17 tokens per session scan A 91ef56182fa8
sql-analyst is a skill published in the GitHub repository ginkida/rustyhand (20 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 580 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to sql-analyst, differing in 0 lines, and is treated as a copy.
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