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/fastapi-secure-no-railguard-available)<a href="https://agentmods.dev/rules/brighton-labs/railguard-cursor-coding/fastapi-secure-no-railguard-available"><img src="https://agentmods.dev/badge/rules/brighton-labs/railguard-cursor-coding/fastapi-secure-no-railguard-available.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 5.1 | $0.00934 | $0.00934 |
| Opus 5 | $0.00467 | $0.00467 |
| Sonnet 5 | $0.00187 | $0.00187 |
| Haiku 4.5 | $0.00093 | $0.00093 |
Grade A, and why
fastapi-secure-no-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 7d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
R: Risk First
- The goal is to prevent common security vulnerabilities in FastAPI projects, especially those related to unvalidated input, improper auth handling, and inconsistent response logic.
- FastAPI is often used for public APIs, and must treat all incoming data as untrusted.
- The AI must generate code that is secure by design, explainable, and structured for auditability.
A: Attached Constraints
- Never use
eval,exec, orpickle.load()unless inside a secured, sandboxed environment. - Never handle password hashing or token validation inside route handlers directly.
- Do not expose
.envsecrets, tokens, or credentials in responses, logs, or comments. - Do not use untyped route parameters or raw request parsing (
await req.json()). - Do not log raw user input, passwords, or tokens.
I: Interpretative Framing
- Treat all FastAPI
POST,PUT,DELETE, or dynamicGETendpoints as externally-facing and potentially exposed to malicious input. - If a route is created, assume it must validate input via a Pydantic model or an equivalent schema.
- If form or query data is parsed manually, assume that it requires validation and sanitation.
- If no response model is provided, assume one should be added for typing and auditability.
L: Local Defaults
- Use Pydantic models for request bodies, form data, and query parameters.
- Use
Depends()for injecting authenticated users, services, or DB sessions. - Apply
ResponseorJSONResponsewith structured output. - Secure all cookies (
HttpOnly,Secure,SameSite=Strict) and apply CORS restrictions. - For links opened with
target="_blank"in FastAPI template rendering (e.g., Jinja2), addrel="noopener noreferrer".
G: Generative Path Checks
- When generating a route:
- Determine the expected request schema
- Validate the schema with a Pydantic model
- Parse using
payload: MyModelin the handler signature - Handle missing fields or validation errors explicitly
- If authentication is needed:
- Use
OAuth2PasswordBearerorDepends(current_user) - Hash passwords using
bcryptorargon2, never plaintext
- Use
- Always include status codes and structured return objects
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.
- 7d ago First seen · 88 lines · 934 tokens per session scan A 4bedd638b8cc
fastapi-secure-no-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 934 tokens to every session, about $0.0047 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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