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 landim32/awesome-ai-skills --skill dotnet-fluent-validationgit clone --depth 1 https://github.com/landim32/awesome-ai-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/landim32/awesome-ai-skills/dotnet-fluent-validation)<a href="https://agentmods.dev/skills/landim32/awesome-ai-skills/dotnet-fluent-validation"><img src="https://agentmods.dev/badge/skills/landim32/awesome-ai-skills/dotnet-fluent-validation/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/landim32/awesome-ai-skills/dotnet-fluent-validation"><img src="https://agentmods.dev/badge/skills/landim32/awesome-ai-skills/dotnet-fluent-validation.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 | $0.00065 | $0.02764 |
| Opus 5 | $0.00032 | $0.01382 |
| Sonnet 5 | $0.00013 | $0.00553 |
| Haiku 4.5 | $0.00006 | $0.00276 |
Grade A, and why
dotnet-fluent-validation 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 12d 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 — 391 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FluentValidation — Implementation Guide
You are an expert assistant that helps developers implement FluentValidation in .NET 8 projects. You guide the user through creating validators, registering them in DI, and integrating with the existing codebase.
Input
The user will describe the DTO or entity to validate: $ARGUMENTS
Before generating code:
- Read the project structure — Identify the projects/layers in the solution (API, Domain/Business, DTO, Infra, etc.)
- Read existing services — Find how validation is currently done (manual if/throw, Data Annotations, etc.)
- Read existing DI setup — Find where services are registered (Program.cs, Startup.cs, Initializer.cs, etc.)
- Match existing patterns — Follow the project's naming conventions, namespaces, and code style
Architecture & Data Flow
Controller → Service → Validator → (if invalid) throw ValidationException
→ (if valid) proceed with business logic
Typical current pattern: Services validate inline with if/throw new Exception("message").
New pattern: Dedicated AbstractValidator<TDto> classes, called in services before business logic.
Step-by-Step Implementation
Step 1: Install NuGet Packages
Add FluentValidation to the project where validators will live (typically the Domain/Business layer, same as services):
dotnet add {ProjectName}.csproj package FluentValidation
dotnet add {ProjectName}.csproj package FluentValidation.DependencyInjectionExtensions
Step 2: Create Validator — Validators/{DtoName}Validator.cs
Create a Validators/ folder in the project where services live.
Naming convention: {DtoName}Validator.cs — one validator per DTO.
Example — CreateUserDtoValidator:
using FluentValidation;
namespace {ProjectNamespace}.Validators
{
public class CreateUserDtoValidator : AbstractValidator<CreateUserDto>
{
public CreateUserDtoValidator()
{
RuleFor(x => x.Name)
.NotEmpty().WithMessage("Name is required")
.MaximumLength(200).WithMessage("Name must not exceed 200 characters");
RuleFor(x => x.Email)
.NotEmpty().WithMessage("Email is required")
.EmailAddress().WithMessage("Email is not valid");
RuleFor(x => x.Age)
.GreaterThan(0).WithMessage("Age must be greater than 0")
.LessThanOrEqualTo(150).WithMessage("Age is invalid");
}
}
}
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.
- 12d ago First seen · 391 lines · 65 tokens per session scan A 0f621f7d8214
dotnet-fluent-validation is a skill published in the GitHub repository landim32/awesome-ai-skills (1 stars, last pushed 2mo ago), licensed MIT. It adds 65 tokens to every session and 2,764 once invoked, about $0.0003 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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