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/react-routergit 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/react-router)<a href="https://agentmods.dev/instructions/iloveitaly/llm-ide-rules/react-router"><img src="https://agentmods.dev/badge/instructions/iloveitaly/llm-ide-rules/react-router.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 | $0.00968 | $0.00968 |
| Opus 5 | $0.00484 | $0.00484 |
| Sonnet 5 | $0.00194 | $0.00194 |
| Haiku 4.5 | $0.00097 | $0.00097 |
Grade A, and why
llm-ide-rules react-router.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 5d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
React Router
- You are using the latest version of React Router (v7).
- Always include the suffix
Pagewhen naming the default export of a route. - The primary export in a routes file should specify
loaderDatalikeexport default function RouteNamePage({ loaderData }: Route.ComponentProps).loaderDatais the return value fromclientLoader. - Use
href("/products/:id", { id: "abc123" })to generate a url path for a route managed by the application.- Look at routes.ts to determine what routes and path parameters exist.
- Use
export async function clientLoader(loaderArgs: Route.ClientLoaderArgs)to define aclientLoaderon a route. - Do not define
Route.*types, these are autogenerated and can be imported fromimport type { Route } from "./+types/routeFileName" - If URL parameters or query string values need to be checked before rendering the page, do this in a
clientLoaderand not in auseEffect - Never worry about generating types using
pnpm - Use
<AllMeta />instead of MetaFunction or individual<meta />tags - Use the following pattern to reference query string values (i.e.
?theQueryStringParam=value)
const [searchParams, _setSearchParams] = useSearchParams()
// searchParams contains the value of all query string parameters
const queryStringValue = searchParams.get("theQueryStringParam")
Loading Mock Data
Don't load mock data in the component function with useEffect. Instead, load data in a clientLoader:
// in mock.ts
export async function getServerData(options: any) {
// ...
}
// in web/app/routes/**/*.ts
export async function clientLoader(loaderArgs: Route.ClientLoaderArgs) {
// no error reporting is needed, this will be handled by the `getServerData`
// mock loading functions should return result in a `data` key
const { data } = await getServerData({
/* ... */
});
// the return result here is available in `loaderData`
return data;
}
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.
- 5d ago First seen · 93 lines · 968 tokens per session scan A 2ab225d40943
llm-ide-rules react-router.instructions.md is an instructions file published in the GitHub repository iloveitaly/llm-ide-rules (13 stars, last pushed 4d ago), licensed MIT. It adds 968 tokens to every session, about $0.0048 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
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.
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.
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.
apex-accelerator vendor-prompting.instructions.md
Vendor prompting best-practice rules for Anthropic Claude and OpenAI GPT-5.6-Terra agents and prompts. Each rule cites a rule ID in the vendor-prompting skill rules.json registry. Validator: npm run lint:vendor-prompting.
ai-prompts AGENTS.md
Instructions for liatrio-labs/ai-prompts, covering ai agent instructions, context marker, local skill scripts, standard workflow and initialize.
ultra-max-token-burner AGENTS.md
Instructions for floytra-dev/ultra-max-token-burner: When the user asks to expand, operationalize, professionalize, govern, validate, or make a prompt more manager-visible, use the Ultra Max Token Burner workflow in SKILL.md.