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cccskills
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cost-advise

Analyze Claude Code and Codex usage logs to identify spending drivers, including cache usage, model choices, reasoning, and long sessions. Receive evidence-backed recommendations and hypothetical savings estimates to help decide which changes to try.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

Optimisation findings from your own Claude Code and Codex logs — low cache hit ratio, 1-hour cache writes that did not pay back, sub-agents on a top-tier model, Codex reasoning share, bloated sessions — each with evidence and a what-if saving. Use when asked how to cut spend or why it is high.

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适用场景

  • Investigating unexpectedly high agent costs
  • Reviewing cache usage
  • Reconsidering models used by sub-agents
  • Prioritizing cost reduction options

包含的文件(1)

  • SKILL.md1.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Cost Advise

node ${CLAUDE_PLUGIN_ROOT}/scripts/advise.mjs --since 7d

Rules for presenting findings

  • Savings are what-if repricings of the same tokens at another rate. They say nothing about quality; tell the user to spot-check before switching a model.
  • A finding with saving n/a has no defensible number (no measured delta exists). Do not invent one.
  • Do not change settings, models or CLAUDE.md on the user's behalf; present the action and let them choose.
  • Prefer the largest controllable lever first: cache discipline, then model tier for sub-agents, then reasoning effort, then context size.
  • Pair with cost-ledger for the totals and cost-session to drill into one expensive session.

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中文简介正在准备中。当前显示英语简介。

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中文简介正在准备中。当前显示英语简介。

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中文简介正在准备中。当前显示英语简介。

  • Index ADRs imported from another project
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中文简介正在准备中。当前显示英语简介。

  • Rebuild the index after deleting an ADR file
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中文简介正在准备中。当前显示英语简介。

  • Check a pull request before merging
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