Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/totvs/engpro-advpl-tlpp-skillsnpx agentmods add skills/totvs/engpro-advpl-tlpp-skills/sql-optimizationWrote 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/totvs/engpro-advpl-tlpp-skills/sql-optimization)<a href="https://agentmods.dev/skills/totvs/engpro-advpl-tlpp-skills/sql-optimization"><img src="https://agentmods.dev/badge/skills/totvs/engpro-advpl-tlpp-skills/sql-optimization/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/totvs/engpro-advpl-tlpp-skills/sql-optimization"><img src="https://agentmods.dev/badge/skills/totvs/engpro-advpl-tlpp-skills/sql-optimization.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 | $0.00072 | $0.01067 |
| Opus 5.5 | $0.00029 | $0.00427 |
| Sonnet 5.5 | $0.00014 | $0.00213 |
| Haiku 4.5 | $0.00007 | $0.00107 |
Grade A, and why
sql-optimization 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SQL Performance Optimization Assistant
Expert SQL performance optimization for ${selection} (or entire project if no selection). Focus on universal SQL optimization techniques that work across PostgreSQL, SQL Server, Oracle, and other SQL databases.
Core Optimization Areas
This skill covers query performance analysis, index strategy, subquery optimization, JOIN optimization, pagination, aggregation, query anti-patterns, batch operations, temporary tables, index management, and performance monitoring.
For all universal SQL optimization patterns with BAD/GOOD code examples, see sql-optimization-patterns.md.
Universal Optimization Checklist
Query Structure
- Avoiding SELECT * in production queries
- Using appropriate JOIN types (INNER vs LEFT/RIGHT)
- Filtering early in WHERE clauses
- Using EXISTS instead of IN for subqueries when appropriate
- Avoiding functions in WHERE clauses that prevent index usage
Index Strategy
- Creating indexes on frequently queried columns
- Using composite indexes in the right column order
- Avoiding over-indexing (impacts INSERT/UPDATE performance)
- Using covering indexes where beneficial
- Creating partial indexes for specific query patterns
Data Types and Schema
- Using appropriate data types for storage efficiency
- Normalizing appropriately (3NF for OLTP, denormalized for OLAP)
- Using constraints to help query optimizer
- Partitioning large tables when appropriate
Query Patterns
- Using LIMIT/TOP for result set control
- Implementing efficient pagination strategies
- Using batch operations for bulk data changes
- Avoiding N+1 query problems
- Using prepared statements for repeated queries
Performance Testing
- Testing queries with realistic data volumes
- Analyzing query execution plans
- Monitoring query performance over time
- Setting up alerts for slow queries
- Regular index usage analysis
What ships with it
2 files 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 Changed b1c2c73a08d0
- 1mo ago First seen · 93 lines · 72 tokens per session scan A e6dd9820cf60
sql-optimization is a skill published in the GitHub repository totvs/engpro-advpl-tlpp-skills (159 stars, last pushed 2d ago), licensed MIT. It adds 72 tokens to every session and 1,067 once invoked, about $0.0003 per session on Opus 5.5. 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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