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/toptalentcoder/Cursor-AwesomeRulesWrote 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/toptalentcoder/cursor-awesomerules/fastapi-middleware)<a href="https://agentmods.dev/rules/toptalentcoder/cursor-awesomerules/fastapi-middleware"><img src="https://agentmods.dev/badge/rules/toptalentcoder/cursor-awesomerules/fastapi-middleware/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/toptalentcoder/cursor-awesomerules/fastapi-middleware"><img src="https://agentmods.dev/badge/rules/toptalentcoder/cursor-awesomerules/fastapi-middleware.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 | $0.00091 | $0.00091 |
| Opus 5.5 | $0.00036 | $0.00036 |
| Sonnet 5.5 | $0.00018 | $0.00018 |
| Haiku 4.5 | $0.00009 | $0.00009 |
Grade A, and why
fastapi-middleware 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 1mo 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.
This is a copy
100% identical to fastapi-middleware — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
- Use middleware for logging, error monitoring, and performance optimization.
- Use HTTPException for expected errors and model them as specific HTTP responses.
- Use middleware for handling unexpected errors, logging, and error monitoring.
- Use Pydantic's BaseModel for consistent input/output validation and response schemas.
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.
- 1mo ago First seen · 8 lines · 91 tokens per session scan A a45c841e789b
fastapi-middleware is a cursor rule published in the GitHub repository toptalentcoder/Cursor-AwesomeRules (6 stars, last pushed 1y ago), licensed CC0-1.0. It adds 91 tokens to every session, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to fastapi-middleware, differing in 0 lines, and is treated as a copy.
Other cursor rules, from other repositories
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fastapi-middleware
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1c-exchange-specifics
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Error Handling and Logging
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RULE
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api-investigation
title: API Endpoint Investigation from OpenAPI/Swagger when.