技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 429 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：aiwithabidi/model-audit-pro
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's code, instructions, and required credential (OPENROUTER_API_KEY) are consistent with its stated purpose of auditing models via OpenRouter; nothing requested or done appears disproportionate or unrelated.
目的
Name/description: audit LLM stack vs OpenRouter pricing. Declared requirement: OPENROUTER_API_KEY. The included script calls OpenRouter's models API, parses pricing, classifies models, and reads local openclaw.json to discover configured models — all coherent with the stated purpose.
说明范围
SKILL.md instructs running scripts/model_audit.py. The script performs expected actions: HTTP GET to https://openrouter.ai/api/v1/models, reads openclaw.json from a small set of plausible locations (~/.openclaw and common container/root paths), and prints or emits JSON results. It does not transmit data to any unexpected third-party endpoints nor attempt arbitrary shell execution.
安装机制
No install spec — instruction-only with a bundled Python script. Nothing is downloaded or installed automatically; the script runs with the environment and Python already present.
证书
Only required environment variable is OPENROUTER_API_KEY (declared as primary credential). No other secrets or unrelated credentials are requested. The script reads no other environment variables.
持久
Skill is not always-enabled and does not modify other skills or system-wide config. It only reads local config files and makes outbound requests; it does not write persistent data or claim elevated privileges.
综合结论
This skill appears to do what it claims, but take standard precautions before running code from unknown publishers: (1) Only provide OPENROUTER_API_KEY if you trust the service and understand the API key's scope/billing implications. (2) Inspect openclaw.json in the paths the script checks — it may contain models or other config; ensure it contains no sensitive secrets you don't want the script to read. (3) Run the script in a non-root, networ…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Model Audit Pro」。简介：Monthly LLM stack audit — compare your current models against latest benchmarks…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/aiwithabidi/model-audit-pro/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
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": "ud83dudd2c", "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
```bash
# 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](https://www.linkedin.com/in/mohammad-ali-abidi) | [agxntsix.ai](https://www.agxntsix.ai)
[YouTube](https://youtube.com/@aiwithabidi) | [GitHub](https://github.com/aiwithabidi)
Part of the **AgxntSix Skill Suite** for OpenClaw agents.
📅 **Need help setting up OpenClaw for your business?** [Book a free consultation](https://cal.com/agxntsix/abidi-openclaw)