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model-audit

Monthly LLM stack audit — compare your current models against latest benchmarks and pricing from OpenRouter. Identifies potential savings, upgrades, and better alternatives by category (reasoning, code, fast, cheap, vision). Use for optimizing AI costs and staying on the frontier.

Manus에서 실행

개요

설치 명령

npx skills add https://github.com/OpieTaylor911/openclaw-skills --skill model-audit

이 명령을 Claude Code에 복사하여 붙여넣어 스킬을 설치하세요

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OpieTaylor911/openclaw-skills

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업데이트2026년 3월 30일 22:05

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SKILL.md

readonly

name	model-audit
description	Monthly LLM stack audit — compare your current models against latest benchmarks and pricing from OpenRouter. Identifies potential savings, upgrades, and better alternatives by category (reasoning, code, fast, cheap, vision). Use for optimizing AI costs and staying on the frontier.
homepage	https://www.agxntsix.ai
license	MIT
compatibility	Python 3.10+, OpenRouter API key
metadata	{"openclaw":{"emoji":"🔬","requires":{"env":["OPENROUTER_API_KEY"]},"primaryEnv":"OPENROUTER_API_KEY","homepage":"https://www.agxntsix.ai"}}

Model Audit 📊

Audit your LLM stack against current pricing and alternatives.

Fetches live pricing from OpenRouter, analyzes your configured models, and recommends potential savings or upgrades by category.

Quick Start

# Full audit with recommendations
python3 {baseDir}/scripts/model_audit.py

# JSON output
python3 {baseDir}/scripts/model_audit.py --json

# Audit specific models
python3 {baseDir}/scripts/model_audit.py --models "anthropic/claude-opus-4-6,openai/gpt-4o"

# Show top models by category
python3 {baseDir}/scripts/model_audit.py --top

# Compare two models
python3 {baseDir}/scripts/model_audit.py --compare "anthropic/claude-sonnet-4" "openai/gpt-4o"

What It Does

Fetches live pricing from OpenRouter API
Reads your configured models from openclaw.json
Categorizes models (reasoning, code, fast, cheap, vision)
Compares against top alternatives in each category
Calculates potential monthly savings
Recommends upgrades or cost optimizations

Output Example

═══ LLM Stack Audit ═══

Your Models:
  anthropic/claude-opus-4-6    $5.00/$25.00 per 1M tokens (in/out)
  openai/gpt-4o              $2.50/$10.00 per 1M tokens
  google/gemini-2.0-flash     $0.10/$0.40 per 1M tokens

Recommendations:
  💡 For fast tasks: gemini-2.0-flash is 50x cheaper than opus
  💡 Consider: deepseek/deepseek-r1 for reasoning at $0.55/$2.19
  💡 Your stack covers: reasoning ✓, code ✓, fast ✓, vision ✓

Environment

Requires OPENROUTER_API_KEY environment variable.

Credits

Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents.

📅 Need help setting up OpenClaw for your business? Book a free consultation

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출처

OpieTaylor911

OpieTaylor911/openclaw-skills

GitHub 저장소 열기 Creator 저장소 보기

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name	model-audit
description	Monthly LLM stack audit — compare your current models against latest benchmarks and pricing from OpenRouter. Identifies potential savings, upgrades, and better alternatives by category (reasoning, code, fast, cheap, vision). Use for optimizing AI costs and staying on the frontier.
homepage	https://www.agxntsix.ai
license	MIT
compatibility	Python 3.10+, OpenRouter API key
metadata	{"openclaw":{"emoji":"🔬","requires":{"env":["OPENROUTER_API_KEY"]},"primaryEnv":"OPENROUTER_API_KEY","homepage":"https://www.agxntsix.ai"}}

Model Audit 📊

Audit your LLM stack against current pricing and alternatives.

Fetches live pricing from OpenRouter, analyzes your configured models, and recommends potential savings or upgrades by category.

Quick Start

# Full audit with recommendations
python3 {baseDir}/scripts/model_audit.py

# JSON output
python3 {baseDir}/scripts/model_audit.py --json

# Audit specific models
python3 {baseDir}/scripts/model_audit.py --models "anthropic/claude-opus-4-6,openai/gpt-4o"

# Show top models by category
python3 {baseDir}/scripts/model_audit.py --top

# Compare two models
python3 {baseDir}/scripts/model_audit.py --compare "anthropic/claude-sonnet-4" "openai/gpt-4o"

What It Does

Fetches live pricing from OpenRouter API
Reads your configured models from openclaw.json
Categorizes models (reasoning, code, fast, cheap, vision)
Compares against top alternatives in each category
Calculates potential monthly savings
Recommends upgrades or cost optimizations

Output Example

═══ LLM Stack Audit ═══

Your Models:
  anthropic/claude-opus-4-6    $5.00/$25.00 per 1M tokens (in/out)
  openai/gpt-4o              $2.50/$10.00 per 1M tokens
  google/gemini-2.0-flash     $0.10/$0.40 per 1M tokens

Recommendations:
  💡 For fast tasks: gemini-2.0-flash is 50x cheaper than opus
  💡 Consider: deepseek/deepseek-r1 for reasoning at $0.55/$2.19
  💡 Your stack covers: reasoning ✓, code ✓, fast ✓, vision ✓

Environment

Requires OPENROUTER_API_KEY environment variable.

Credits

Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents.

📅 Need help setting up OpenClaw for your business? Book a free consultation