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/aaronontheweb/dotnet-skills/database-performancenpx skills add Aaronontheweb/dotnet-skills --skill database-performancegit clone --depth 1 https://github.com/Aaronontheweb/dotnet-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/aaronontheweb/dotnet-skills/database-performance)<a href="https://agentmods.dev/skills/aaronontheweb/dotnet-skills/database-performance"><img src="https://agentmods.dev/badge/skills/aaronontheweb/dotnet-skills/database-performance.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 | $0.00044 | $0.03274 |
| Opus 5 | $0.00022 | $0.01637 |
| Sonnet 5 | $0.00009 | $0.00655 |
| Haiku 4.5 | $0.00004 | $0.00327 |
Grade A, and why
database-performance 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- database-performance — 100% identical, 1 lines differ
How it starts
The opening of the file, as written. The whole thing — 506 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Database Performance Patterns
When to Use This Skill
Use this skill when:
- Designing data access layers
- Optimizing slow database queries
- Choosing between EF Core and Dapper
- Avoiding common performance pitfalls
Core Principles
- Separate read and write models - Don't use the same types for both
- Think in batches - Avoid N+1 queries
- Only retrieve what you need - No SELECT *
- Apply row limits - Always have a configurable Take/Limit
- Do joins in SQL - Never in application code
- AsNoTracking for reads - EF Core change tracking is expensive
Read/Write Model Separation (CQRS Pattern)
Read and write models are fundamentally different - they have different shapes, columns, and purposes. Don't create a single "User" entity and reuse it everywhere.
- Read models are denormalized, optimized for query efficiency, and return multiple projection types (UserProfile, UserSummary, UserDetailForAdmin)
- Write models are normalized, validation-focused, and accept strongly-typed commands (CreateUserCommand, UpdateUserCommand)
Architecture
src/
MyApp.Data/
Users/
# Read side - multiple optimized projections
IUserReadStore.cs
PostgresUserReadStore.cs
# Write side - command handlers
IUserWriteStore.cs
PostgresUserWriteStore.cs
# Read DTOs - lightweight, denormalized
UserProfile.cs
UserSummary.cs
# Write commands - validation-focused
CreateUserCommand.cs
UpdateUserCommand.cs
Orders/
IOrderReadStore.cs
IOrderWriteStore.cs
(similar structure...)
Read Store Interface
// Read models: Multiple specialized projections optimized for different use cases
public interface IUserReadStore
{
// Returns detailed profile for single-user view
Task<UserProfile?> GetByIdAsync(UserId id, CancellationToken ct = default);
// Returns lightweight info for lookups
Task<UserProfile?> GetByEmailAsync(EmailAddress email, CancellationToken ct = default);
// Returns paginated summaries - only what the list view needs
Task<IReadOnlyList<UserSummary>> GetAllAsync(int limit, UserId? cursor = null, CancellationToken ct = default);
// Boolean query - no entity needed
Task<bool> EmailExistsAsync(EmailAddress email, CancellationToken ct = default);
}
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 · 506 lines · 44 tokens per session scan A a2ae01737a39
database-performance is a skill published in the GitHub repository Aaronontheweb/dotnet-skills (1,138 stars, last pushed 27d ago), licensed MIT. It adds 44 tokens to every session and 3,274 once invoked, about $0.0002 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 2026-08-30.
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database-performance
Database access patterns for performance. Separate read/write models, avoid N+1 queries, use AsNoTracking, apply row limits, and never do application-side joins. Works with EF Core and Dapper.
database-performance
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