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.
git clone --depth 1 https://github.com/brighton-labs/railguard-cursor-codingWrote 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/rules/brighton-labs/railguard-cursor-coding/csharp-database-secure-railguard-available)<a href="https://agentmods.dev/rules/brighton-labs/railguard-cursor-coding/csharp-database-secure-railguard-available"><img src="https://agentmods.dev/badge/rules/brighton-labs/railguard-cursor-coding/csharp-database-secure-railguard-available/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/rules/brighton-labs/railguard-cursor-coding/csharp-database-secure-railguard-available"><img src="https://agentmods.dev/badge/rules/brighton-labs/railguard-cursor-coding/csharp-database-secure-railguard-available.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 | $0.00768 | $0.00768 |
| Opus 5.5 | $0.00307 | $0.00307 |
| Sonnet 5.5 | $0.00154 | $0.00154 |
| Haiku 4.5 | $0.00077 | $0.00077 |
Grade A, and why
csharp-database-secure-railguard-available 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 2mo 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
This rule enforces safe conventions when generating database access logic in C# applications, including:
- Use of parameterized queries (for example,
SqlCommand.Parameters.Add()) - Secure Entity Framework Core practices
- Secrets management and config hygiene
- Logging discipline and output sanitization
Deep reasoning, input handling, and security redlines are defined globally in:
.cursor/rules/railguard-input-validation.mdc
Best Practices for ADO.NET
- Use
SqlCommandwith parameters — never build queries with string concatenation or interpolation - Use
usingblocks ortry/catch/finallyfor resource cleanup - Never log raw SQL with user input
- Wrap sensitive query sections in comments (for example,
// Parameterized query for login validation)
Best Practices for Entity Framework Core
- Use
DbContextand LINQ to query models - Annotate entities with
[Key],[Table],[Column], etc. - Use
@Transactionalor.SaveChanges()batching for state updates - Avoid dynamic LINQ or raw SQL strings unless absolutely necessary
Configuration Hygiene
- Load connection strings from
appsettings.json, environment variables, or vaults - Never hardcode passwords or secrets
"ConnectionStrings": {
"DefaultConnection": "Server=...;Database=...;User Id=...;Password=...;"
}
Logging Guidelines
- Use
ILoggerorSerilogwith structured output - Do not log parameter values or user-generated query inputs
- Mask fields such as email, token, or user identifiers in logs
Code Example
string query = "SELECT * FROM Users WHERE Username = @Username";
using (SqlCommand cmd = new SqlCommand(query, connection)) {
cmd.Parameters.AddWithValue("@Username", username);
using (SqlDataReader reader = cmd.ExecuteReader()) {
while (reader.Read()) {
// Process user info
}
}
}
Inline Security Cues
// Prevents SQL injection via parameterized query// Connection string loaded from environment// ORM method avoids raw SQL
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.
- 2mo ago First seen · 96 lines · 768 tokens per session scan A 4858c62e407d
csharp-database-secure-railguard-available is a cursor rule published in the GitHub repository brighton-labs/railguard-cursor-coding (13 stars, last pushed 1y ago), licensed MIT. It adds 768 tokens to every session, about $0.0031 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.
Other cursor rules, from other repositories
as-contract-cast-smell
// ❌ WRONG — bypasses the family ContractSerializer seam const contract = JSON.parse(raw) as Contract; const contract = JSON.parse(raw) as Contract .
no-backward-compatibility
Do not add backward-compatibility shims or migration scaffolding.
postgresql
This guide defines the definitive best practices for writing clean, performant, and maintainable PostgreSQL SQL, focusing on modern conventions and avoiding common pitfalls.
ehs-ims-conventions
EHS IMS app — RBAC, data layer, tRPC, migrations, AI boundaries.
sync-timedb-archive-janitor-contract
Day-close / cold-path worker contracts for synctimedb (A invariants; B tick coordinator retired).
schema
Scalable and secure schema design patterns for relational databases, NoSQL, and APIs. / TR: İlişkisel veri tabanları, NoSQL ve API'ler için ölçeklenebilir ve güvenli şema tasarım kalıpları.