Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Monthly LLM stack audit — compare your current models against latest benchmarks and pricing from OpenRouter. Identifies potential savings, upgrades, and bett...
Monthly LLM stack audit — compare your current models against latest benchmarks and pricing from OpenRouter. Identifies potential savings, upgrades, and bett...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
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.
# 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"
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
═══ 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 ✓
Requires OPENROUTER_API_KEY environment variable.
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
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.