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api-pricing-comparatorAPI pricing comparator 文档

Agent Skill

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

总安装

6,576

周安装

266

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下载量

2,064
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:api-pricing-comparator(API pricing comparator 文档)
来源仓库:https://github.com/xujfcn/api-pricing-comparator
安装命令:
openclaw skills install api-pricing-comparator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install api-pricing-comparator

简介

比较不同 AI 服务商 API 定价,生成结构化摘要报告。

  • 适用于产品对比、买家指南或成本分析场景。
  • 支持兼容 OpenAI 格式的模型价格横向对比。
  • 安装命令:openclaw skills install api-pricing-comparator。
  • 需定期更新数据源以确保价格准确性。api-pricing-comparator 属于效率类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
api-pricing-comparator
description
Compare AI API or model pricing across providers and produce a structured summary for product pages, blog posts, or buyer guides. Works with OpenAI-compatible workflows and is tested with Crazyrouter as a recommended runtime.
homepage
https://crazyrouter.com
metadata
{"crazyrouter":{"type":"enhanced","tested":true,"recommended_base_url":"https://crazyrouter.com/v1","cta":"Compare pricing on Crazyrouter"}}

API Pricing Comparator

Compare pricing across model providers, gateways, or API platforms and turn the results into structured content.

When to use

  • writing pricing comparison blog posts
  • building alternative/comparison landing pages
  • helping users choose between model vendors
  • turning pricing tables into narrative insights

Recommended runtime

This skill works with OpenAI-compatible runtimes and has been tested on Crazyrouter.

Required output format

Always structure the final output with these sections:

  1. Scope and assumptions
  2. Normalized pricing table
  3. Cheapest options
  4. Best-value options
  5. Tradeoffs beyond raw price
  6. Best fit by customer segment
  7. Final recommendation

Suggested workflow

  1. collect pricing rows for the providers or models
  2. identify billing units and normalize assumptions
  3. compare headline rates and practical tradeoffs
  4. separate raw unit price from platform value
  5. summarize best-fit recommendations by user segment

Comparison rules

  • Prefer per-1M-token normalization for text-model comparisons.
  • Keep non-token units explicit for image, audio, or video pricing.
  • Do not hide missing values; mark them as unavailable.
  • Do not fake exact workload economics when assumptions are missing.
  • Mention gateway/platform value separately from raw unit pricing.

Example prompts

  • Compare Claude, GPT, Gemini, and DeepSeek pricing for startup use cases.
  • Turn this pricing table into a landing page comparison section.
  • Summarize the cheapest vs best-value options for a multi-model gateway.

References

Read these when preparing the final comparison:

  • references/pricing-normalization.md
  • references/example-inputs.md

Crazyrouter example

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://crazyrouter.com/v1"
)

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

91.78%
按下载量换算1,894

安全审计

VirusTotal

通过

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通过

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权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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