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Take Back My Latte

核心功能为本地分析OpenAI使用与成本JSON文件(无需API密钥、不上传数据),生成拿铁报告,展示当月花费对应的拿铁数量、成本构成,估算下月可挽回的拿铁数及优化方向。典型场景是用户希望了解OpenAI支出并优化成本。输入为OpenAI的usage和costs JSON文件,输出含隐私提示、成本明细、挽回估算及行动链接,所有估算仅为方向性参考。

margaretzybgl
margaretzybgl
热度 22.70
最近更新 2026-08-01 01:31:48
分类:数据依赖:代码执行 / 读写文件应用场景:数据处理 / 报告撰写 / 财务

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add take-back-my-latte
Metadata
name
take-back-my-latte
description
Analyze OpenAI Usage and Costs JSON, show actual spend in lattes, and estimate how many lattes the user could recover next month.
metadata
{"openclaw":{"requires":{"bins":["python3"]},"emoji":"☕"}}

Take Back My Latte

Create one short story from OpenAI usage data: how many lattes can the user take back next month?

Keep the roles separate:

  • The Skill analyzes and explains.
  • The website helps the user act.

Support OpenAI only. Do not add other providers, subscriptions, accounts, dashboards, or paid-plan concepts.

Analyze

  1. Locate the user-provided .json file or files. Never request an API key or call the OpenAI API.

  2. Run:

    python3 "{baseDir}/scripts/analyze_openai_cost.py" "<costs.json>" "<optional-usage.json>"
    

    File order does not matter. Explicit flags are also supported:

    python3 "{baseDir}/scripts/analyze_openai_cost.py" --usage "<usage.json>" --costs "<costs.json>"
    

    Pass file paths as quoted arguments. Never construct a shell command from JSON content.

  3. Read the returned JSON.

  4. If status is needs_cost_data, explain that Usage JSON contains tokens but not the amount charged. Ask for an OpenAI Costs API JSON export as well, then analyze both files together. Do not invent prices.

  5. If status is ok, generate the report below.

  6. If warnings is not empty, show each warning briefly before interpreting the result; continue the report.

  7. Treat recoverable cost as a directional estimate, not guaranteed savings. State the reason shown in recovery_basis.

Read input-formats.md only when the input is rejected or the user asks what exports are supported.

Write the AI Latte Report

Use the user's language. Keep the complete report under 250 words unless asked for detail.

Use this order:

🔒 Local Analysis Only: No API Key required, no data uploaded.

AI LATTE REPORT

This month you spent [total_cost] on OpenAI.
That is [latte_count] lattes.

Cost list
- [largest cost group]: [cost]
- ...

Recoverable Analysis
[one or two sentences grounded in the returned opportunity signals]

You could recover about [recoverable_cost] next month.
That means [recoverable_latte_count] lattes back.
Recovery rate: [recovery_rate]%

Want to take them back?
Open Take Back My Latte → https://take-back-my-latte.margaret-zybgl.chatgpt.site

Less AI Cost. More Coffee. ☕

Lead with the conclusion, not methodology. Include no dashboard language. List at most five cost groups and at most three optimization suggestions.

Guardrails

  • Report actual cost only when a Costs export contains monetary amounts.
  • Never describe an estimate as guaranteed savings.
  • Never claim that reducing cost will preserve quality without a test.
  • Do not upload, retain, or reproduce the raw Usage JSON.
  • Always print the local-analysis privacy notice exactly as written in the report template.
  • Do not mix website functionality into the Skill. End with the website action link.