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 · 152 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：aiwithabidi/model-audit
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill is internally consistent: it only needs an OpenRouter API key, fetches models/pricing from openrouter.ai, and reads an openclaw.json config to find configured models — no unrelated credentials, downloads, or mysterious endpoints were found.
目的
Name/description (LLM stack audit) matches required items: the code fetches model/pricing from OpenRouter and reads openclaw.json to discover configured models. The declared primary env var OPENROUTER_API_KEY is appropriate and no unrelated environment variables or binaries are requested.
说明范围
SKILL.md instructs running the included Python script which (as expected) calls the OpenRouter API and reads openclaw.json from standard locations (~/.openclaw and a couple of common container/root paths). Reading that config is within scope, but it does access files on-disk (including /root/.openclaw and /home/node/.openclaw) — review those files for sensitive data before running.
安装机制
No install spec; this is instruction-only plus an included Python script. Nothing is downloaded at runtime by the skill itself and no package installation is required, so install risk is low.
证书
Only OPENROUTER_API_KEY is required and used as the Authorization header to call openrouter.ai. This is proportional to the stated purpose. Note: the script reads openclaw.json which may contain other data; the script only extracts model IDs but you should verify your config doesn't include other secrets you don't want read.
持久
The skill is not always-enabled, does not request persistent system-wide privileges, and does not modify other skills' configuration. It can be invoked autonomously (platform default) but that is normal and not combined with other red flags.
综合结论
This skill appears to do what it says: it calls openrouter.ai using OPENROUTER_API_KEY and inspects your openclaw.json for model IDs. Before installing or running: (1) ensure the OPENROUTER_API_KEY you provide is for an account you trust and rotate/restrict it if possible; (2) review your openclaw.json (and the paths the script checks) for any secrets you don't want read — the script only extracts model IDs but will open the file; (3) you can …
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」。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/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)