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 YangsonHung/awesome-agent-skills --skill routerbase-model-routinggit clone --depth 1 https://github.com/YangsonHung/awesome-agent-skillsWrote 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/yangsonhung/awesome-agent-skills/routerbase-model-routing)<a href="https://agentmods.dev/skills/yangsonhung/awesome-agent-skills/routerbase-model-routing"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/routerbase-model-routing/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/yangsonhung/awesome-agent-skills/routerbase-model-routing"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/routerbase-model-routing.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 | $0.00026 | $0.00336 |
| Opus 5 | $0.00013 | $0.00168 |
| Sonnet 5 | $0.00005 | $0.00067 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
routerbase-model-routing 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 11d 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
RouterBase Model Routing
Overview
Use routerbase to plan model selection behind one OpenAI-compatible integration surface. This skill turns workload requirements into a practical model shortlist, fallback chain, cost and latency policy, and validation checklist.
When to Use
Use this skill when the user asks for:
- Choosing RouterBase models for chat, coding, reasoning, vision, or multimodal workloads
- Designing fallback chains for provider outages or degraded quality
- Balancing cost, latency, context length, output quality, and availability
- Documenting model routing rules for production applications or agent workflows
- Creating a validation plan for model behavior before rollout
Do not use
Do not use this skill for:
- Claiming exact pricing, availability, or model performance without checking current source data
- Recommending a single model without stating assumptions and fallback behavior
- Hiding routing changes from the application owner or production operator
Instructions
- Clarify workload type, quality threshold, latency budget, context size, expected traffic, and failure tolerance.
- Group candidate models by capability and role: primary, economical fallback, high-quality fallback, and specialized fallback.
- State routing assumptions clearly and mark any values that require current catalog or pricing verification.
- Recommend small rollout steps: test prompts, golden cases, logging, retry policy, rate limit handling, and rollback criteria.
- Keep examples OpenAI-compatible where possible so the application integration stays portable.
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.
- 11d ago First seen · 35 lines · 26 tokens per session scan A 2e6cb28e41eb
routerbase-model-routing is a skill published in the GitHub repository YangsonHung/awesome-agent-skills (18 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 336 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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