OmniRoute is an AI gateway that gives coding agents one endpoint for accessing models from many providers, with quota-aware fallback between them. It is for people using Claude Code, Codex, Cursor, OpenCode, Cline, Copilot, and similar tools who want a single route to their available AI models.
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 diegosouzapw/OmniRoute --skill cli-modelsgit clone --depth 1 https://github.com/diegosouzapw/OmniRouteWrote 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/diegosouzapw/omniroute/cli-models)<a href="https://agentmods.dev/skills/diegosouzapw/omniroute/cli-models"><img src="https://agentmods.dev/badge/skills/diegosouzapw/omniroute/cli-models/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/diegosouzapw/omniroute/cli-models"><img src="https://agentmods.dev/badge/skills/diegosouzapw/omniroute/cli-models.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 14 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00037 | $0.00585 |
| Opus 5.5 | $0.00015 | $0.00234 |
| Sonnet 5.5 | $0.00007 | $0.00117 |
| Haiku 4.5 | $0.00004 | $0.00059 |
Grade A, and why
cli-models 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 23d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- cli-models — 100% identical, 86 lines differ
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Query available AI models, list model aliases, and browse the full model catalog from the CLI. Filter by provider, search by capability, and resolve model name variants.
Quick install
npm install -g omniroute # or: npx omniroute
omniroute --version
Subcommands
models test-add <model>
Validate an OpenAI-compatible model on one strict connection, then add it after a synthetic tool round-trip
Flags:
--provider <id>--connection <id>--name <name>--max-input-tokens <count>--max-output-tokens <count>--api-format <format>--context <name>--base-url <url>--allow-inference--yes--dry-run--json
Example:
omniroute models test-add example-model --provider example-provider --connection example-connection --dry-run
models [provider]
Flags:
--search <query>--json
Example:
omniroute models [provider]
models manual <provider>
List manual model metadata from the selected server
Example:
omniroute models manual <provider>
models add <provider> <model-id>
Add an unverified manual model, then verify persistence
Flags:
--name <name>--api-format <format>--context-window <tokens>--max-output-tokens <tokens>--dry-run
Example:
omniroute models add <provider> <model-id>
models edit <provider> <model-id>
Edit manual model metadata, then verify persistence
Flags:
--name <name>--api-format <format>--context-window <tokens>--clear-context-window--dry-run
Example:
omniroute models edit <provider> <model-id>
models remove <provider> <model-id>
Remove only a manual model override, then verify persistence
Flags:
--yes--dry-run
Example:
omniroute models remove <provider> <model-id>
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.
- 23d ago Changed · +25 lines e30f639190f6
- 1mo ago Changed · +61 lines d109a48e5f16
- 1mo ago First seen · 32 lines · 37 tokens per session scan A f65457d67d12
cli-models is a skill published in the GitHub repository diegosouzapw/OmniRoute (80,849 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 585 once invoked, about $0.0001 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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