Effortlane — AI skill for Claude Code
Effortlane: open-source model and reasoning-effort routing for coding agents.
How to install Effortlane
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open itscloud0/effortlane and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Effortlane does
Effortlane: open-source model and reasoning-effort routing for coding agents. Native Codex auth, Shadow evaluation, cache-aware policy and local metrics. macOS; experimental Claude Code Shadow.
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README
Effortlane
**Choose model and reasoning effort. Keep your native coding agent.**
Open-source LLM routing for Codex on macOS, with Shadow evaluation and local usage telemetry.
[](https://github.com/itscloud0/effortlane/actions/workflows/tests.yml) [](LICENSE)  
[**Try Shadow →**](#quick-start) · [See the evidence](#what-we-have-measured) · [How it works](#how-it-works) · [Get help](#help-build-effortlane)
What is Effortlane?
Effortlane is a local model and reasoning-effort router for coding agents. It selects from your authenticated Codex model catalog before a user turn, preserves native ChatGPT authentication, and records routing evidence locally. In **Shadow mode**, you keep the real executor and effort while Effortlane records what it would recommend.
The goal: **less subscription allowance per correctly completed task**. A cheap call that causes retries or rework is not a saving.
| What you get | Why it matters |
|---|---|
| Model and effort selection | Adjust reasoning depth as well as model capability |
| Shadow before Auto | Inspect recommendations before letting them change execution |
| Decisions between turns | Keep one executor through a turn's thoughts and tool calls |
| Native login and context | Continue using your existing Codex account and full executor context |
| Local evidence and recovery | Inspect routes, cache counters and failures; return to native Codex |
[!IMPORTANT] **Experimental. Subscription savi
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