@Av1dlive: how to use claude code mods like a top 1% user, step by step: give this to your agent before everyone catches on 1. set…

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Summary

A step-by-step guide to building a Claude Code mod called run-ledger that integrates with Jev for model routing, cost estimation per run, and subagent status tracking. The post walks through connecting Jev, authoring the mod, testing hot reload and duplicate counting, and installing it as a persistent plugin.

how to use claude code mods like a top 1% user, step by step: give this to your agent before everyone catches on👇 1. set up Jev connect Jev to the model registry you want to use. check that the connection works and the listed models are available. 2. build your claude code mod open claude code 2.1.287 or later and paste this prompt: “build a mod called run-ledger. load plugin-authoring and use the API types for my installed version. create a dashboard that shows: - estimated cost per run, model, and source plugin where known - which model handles each task - each subagent’s status, latest action, and elapsed time include token counts, cache usage, and reported retries. count each request once. keep background tasks linked to their original run. use dated prices. label costs as API estimates, not subscription charges. show unknown when data is missing. connect the mod to my existing Jev setup. give Jev the task, available models, prices, budget, and relevant past results. ask it to recommend a model and explain why. start with recommendations. make automatic routing optional for eligible subagents. show the recommended model, actual model, result, and cost. include Jev’s own cost. keep state across hot reloads. add details and export. the dashboard itself must make no model calls. validate the plugin. test rendering, costs, attribution, and duplicate counting. give me steps for a live test.” 3. test the setup allow hot reload when prompted. run a simple task, a subagent task, and a mod-triggered model call. check that the dashboard updates, each request counts once, and Jev’s recommended model can actually run the task. 4. install the working mod ask claude to copy it out of the temporary folder and install it as a persistent plugin. see the cost. choose the model. check the result.
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how to use claude code mods like a top 1% user, step by step:

give this to your agent before everyone catches on👇

  1. set up Jev

connect Jev to the model registry you want to use. check that the connection works and the listed models are available.

  1. build your claude code mod

open claude code 2.1.287 or later and paste this prompt:

“build a mod called run-ledger. load plugin-authoring and use the API types for my installed version.

create a dashboard that shows:

  • estimated cost per run, model, and source plugin where known
  • which model handles each task
  • each subagent’s status, latest action, and elapsed time

include token counts, cache usage, and reported retries. count each request once. keep background tasks linked to their original run.

use dated prices. label costs as API estimates, not subscription charges. show unknown when data is missing.

connect the mod to my existing Jev setup. give Jev the task, available models, prices, budget, and relevant past results. ask it to recommend a model and explain why.

start with recommendations. make automatic routing optional for eligible subagents. show the recommended model, actual model, result, and cost. include Jev’s own cost.

keep state across hot reloads. add details and export. the dashboard itself must make no model calls.

validate the plugin. test rendering, costs, attribution, and duplicate counting. give me steps for a live test.”

  1. test the setup

allow hot reload when prompted.

run a simple task, a subagent task, and a mod-triggered model call.

check that the dashboard updates, each request counts once, and Jev’s recommended model can actually run the task.

  1. install the working mod

ask claude to copy it out of the temporary folder and install it as a persistent plugin.

see the cost. choose the model. check the result.

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