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Skills 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.

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/aiwithabidi/model-audit-pro" ~/.claude/skills/openclaw-skills-model-audit && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/aiwithabidi/model-audit-pro" ~/.openclaw/skills/openclaw-skills-model-audit && rm -rf "$T"
manifest: skills/aiwithabidi/model-audit-pro/SKILL.md
tags
#llm#pricing#optimization#openrouter#benchmarking#cost-analysis
source content

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

  1. Fetches live pricing from OpenRouter API
  2. Reads your configured models from openclaw.json
  3. Categorizes models (reasoning, code, fast, cheap, vision)
  4. Compares against top alternatives in each category
  5. Calculates potential monthly savings
  6. 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.

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