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 instructions/iloveitaly/llm-ide-rules/fastapigit clone --depth 1 https://github.com/iloveitaly/llm-ide-rulesWrote 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/instructions/iloveitaly/llm-ide-rules/fastapi)<a href="https://agentmods.dev/instructions/iloveitaly/llm-ide-rules/fastapi"><img src="https://agentmods.dev/badge/instructions/iloveitaly/llm-ide-rules/fastapi.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 | $0.00177 | $0.00177 |
| Opus 5 | $0.00088 | $0.00088 |
| Sonnet 5 | $0.00035 | $0.00035 |
| Haiku 4.5 | $0.00018 | $0.00018 |
Grade A, and why
llm-ide-rules fastapi.instructions.md 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.
What it actually says
Fastapi
- When throwing a
HTTPException, do not add adetail=and use a named status code (status.HTTP_400_BAD_REQUEST) - Do not return a
dict, instead create aclass RouteNameResponse- Locate these classes right above the
def route_name():function which uses them.
- Locate these classes right above the
- Use
Model.onewhen a record must exist in order for the business logic to succeed. - Do not try/except
Model.onewhen using a parameter from the request to pull a record. Let this exception bubble up. - Use
model_id: Annotated[TypeID, Path()]to represent a model ID as a URL path parameter - Use the typed route helpers in
app/generated/fastapi_typed_routes.pyfor all URL generation.
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 · 14 lines · 177 tokens per session scan A 6b87aa63775a
llm-ide-rules fastapi.instructions.md is an instructions file published in the GitHub repository iloveitaly/llm-ide-rules (13 stars, last pushed 3d ago), licensed MIT. It adds 177 tokens to every session, about $0.0009 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.
Other instructions, from other repositories
docs-mcp-server AGENTS.md
Instructions for arabold/docs-mcp-server, covering agent instructions for docs-mcp-server, repository context, development workflow, key commands and git workflow.
docs-mcp-server CLAUDE.md
Instructions for arabold/docs-mcp-server, a project described as: Grounded Docs MCP Server: Open-Source Alternative to Context7, Nia, and Ref.Tools.
dravr-embacle AGENTS.md
AGENTS.md instructions for dravr-ai/dravr-embacle, covering git workflow: no pull requests, after pushing — mandatory ci monitoring, workflow for features, bug fixes and mandatory session startup checklist.
mcp-prompt-optimizer CLAUDE.md
Instructions for yusufkucukates/mcp-prompt-optimizer, covering claude.md — project instructions for claude code, project purpose, tech stack, project structure and how to run locally.
ai-config-bundle AGENTS.md
Instructions for iamironz/ai-config-bundle, covering agents.md, quick commands, build / lint / test, repository layout and python conventions.
prompt-template-engine CLAUDE.md
Instructions for AdamManuel-dev/prompt-template-engine, a project described as: Automated Prompt Optimization System for Cursor, Claude Code, VS Code, and anything else.