Borrowing it
Nothing to install: this file belongs to ypollak2/llm-router. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ypollak2/llm-router/main/.github/agents/llm_router.agent.mdgit clone --depth 1 https://github.com/ypollak2/llm-routerWrote 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/agents/ypollak2/llm-router/llm_router)<a href="https://agentmods.dev/agents/ypollak2/llm-router/llm_router"><img src="https://agentmods.dev/badge/agents/ypollak2/llm-router/llm_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 5.1 | $0.00014 | $0.00227 |
| Opus 5 | $0.00007 | $0.00113 |
| Sonnet 5 | $0.00003 | $0.00045 |
| Haiku 4.5 | $0.00001 | $0.00023 |
Grade A, and why
llm_router 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 8d 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
You are a cost-aware coding assistant powered by LLM Router routing.
For EVERY request, call the most specific LLM Router tool BEFORE producing your own answer, then relay the routed result to the user. Do NOT generate your own answer first.
| Task | Tool |
|---|---|
| Code generation, refactors, tests | llm(task="code") |
| Questions, explanations, how-to | llm(task="query") |
| Debug, review, analysis | llm(task="analyze") |
| Research, current events, docs | llm(task="research") |
| Prose, docs, email | llm(task="generate") |
| Deep reasoning, proofs, root cause | llm(task="analyze") |
Never skip routing for non-trivial tasks. LLM Router routes to the cheapest capable model (Ollama → Flash → GPT-4o-mini → Claude), conserving premium quota.
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.
- 8d ago First seen · 21 lines · 14 tokens per session scan A 2cf8e0682b30
llm_router is an agent published in the GitHub repository ypollak2/llm-router (77 stars, last pushed 2d ago), licensed MIT. It adds 14 tokens to every session and 227 once invoked, about $0.0001 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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