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 skills add iloveitaly/llm-ide-rules --skill react-router-client-loadergit 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/skills/iloveitaly/llm-ide-rules/react-router-client-loader)<a href="https://agentmods.dev/skills/iloveitaly/llm-ide-rules/react-router-client-loader"><img src="https://agentmods.dev/badge/skills/iloveitaly/llm-ide-rules/react-router-client-loader/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/skills/iloveitaly/llm-ide-rules/react-router-client-loader"><img src="https://agentmods.dev/badge/skills/iloveitaly/llm-ide-rules/react-router-client-loader.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 | $0.00004 | $0.00070 |
| Opus 5.5 | $0.00002 | $0.00028 |
| Sonnet 5.5 | $0.00001 | $0.00014 |
| Haiku 4.5 | $0.00000 | $0.00007 |
Grade A, and why
react-router-client-loader 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 9d 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
React Router Client Loader
Do this in a clientLoader and use loaderData to render the component. DO NOT create mock data, new interfaces, or mock data loader functions. Instead, assume loaderData has all of the data you need to render the component.
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.
- 9d ago Changed · +1 lines dd92314f531e
- 27d ago Changed · -1 lines · -5 tokens per session 96e4ca285ae3
- 1mo ago First seen · 9 lines · 9 tokens per session scan A 6c3b091ad904
react-router-client-loader is a skill published in the GitHub repository iloveitaly/llm-ide-rules (13 stars, last pushed 3d ago), licensed MIT. It adds 4 tokens to every session and 70 once invoked, about $0.0000 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.
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Fetch a single URL and print its content as Markdown. Use when you need to read a web page, documentation page, or API reference without indexing it. Accepts http(s):// and file:// URLs and writes the result to stdout.
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Use when setting up firebaseai, generating text/chat with Gemini, streaming AI output, building multimodal prompts, or handling AI errors.
coding-agents-prompt-authoring
To author, adapt, review, and validate prompts (skills, agents, workflows, rules, etc.) with brief, contracts, and a validation pack.
prompt-enhancer
Transform poor or overly simple prompts with expert-level framing. Use when the user explicitly asks to improve, refine, or rewrite a prompt, or wants help framing a request for another AI system. Do NOT use for authoring, reviewing, or migrating system prompts or skills targeting a specific Claude model.