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 · 165 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：可疑
Package：aiwithabidi/model-intel
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：可疑
OpenClaw 评估
The skill's behavior mostly matches its description (it queries OpenRouter for model data), but the declared requirement for OPENROUTER_API_KEY is inconsistent with the code (the key is never used) and the script will try to read ~/.openclaw/workspace/.env — these mismatches merit caution.
目的
Name/description match the code's functionality (fetch models, price, compare). However the registry and SKILL.md declare OPENROUTER_API_KEY as the primary credential even though the included script performs requests to https://openrouter.ai/api/v1/models without supplying any Authorization header or using the key. Requiring a key in metadata that the code does not use is an inconsistency.
说明范围
SKILL.md instructs running the included Python script which calls OpenRouter. The script also attempts to read ~/.openclaw/workspace/.env to extract OPENROUTER_API_KEY if the env var is unset. The README/metadata did not call out that the script will read that local config file; reading a user's dotfile is scope creep and could expose unrelated secrets if the logic were extended.
安装机制
No install spec or remote downloads — the skill is shipped as a small Python script and usage docs. No archives or third-party installers are fetched at runtime.
证书
The only declared required environment variable is OPENROUTER_API_KEY, which is reasonable for an OpenRouter integration — except the code does not actually use that key for its API calls. Additionally, the script will parse ~/.openclaw/workspace/.env to obtain that key if absent; that means the skill will read a local credential file even though the declared env var is supposedly sufficient.
持久
The skill does not request persistent/always-on privileges, does not modify other skill configs, and does not write files or install services. Autonomous invocation is allowed but is the platform default.
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 Intel」。简介：Live LLM model intelligence from OpenRouter. Compare pricing, search models by …。
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-intel/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: model-intel
description: Live LLM model intelligence from OpenRouter. Compare pricing, search models by name, find the best model for any task — code, reasoning, creative, fast, cheap, vision, long-context. Real-time data from 200+ models. Use when choosing models, comparing costs, or auditing your AI stack.
homepage: https://www.agxntsix.ai
license: MIT
compatibility: Python 3.10+, OpenRouter API key
metadata: {"openclaw": {"emoji": "ud83dudcca", "requires": {"env": ["OPENROUTER_API_KEY"]}, "primaryEnv": "OPENROUTER_API_KEY", "homepage": "https://www.agxntsix.ai"}}
---
# Model Intel 🧠💰
Live LLM model intelligence — pricing, capabilities, and comparisons from OpenRouter.
## When to Use
- Finding the best model for a specific task (coding, reasoning, creative, fast, cheap)
- Comparing model pricing and capabilities
- Checking current model availability and context lengths
- Answering "what's the cheapest model that can do X?"
## Usage
```bash
# List top models by provider
python3 {baseDir}/scripts/model_intel.py list
# Search by name
python3 {baseDir}/scripts/model_intel.py search "claude"
# Side-by-side comparison
python3 {baseDir}/scripts/model_intel.py compare "claude-opus" "gpt-4o"
# Best model for a use case
python3 {baseDir}/scripts/model_intel.py best fast
python3 {baseDir}/scripts/model_intel.py best code
python3 {baseDir}/scripts/model_intel.py best reasoning
python3 {baseDir}/scripts/model_intel.py best cheap
python3 {baseDir}/scripts/model_intel.py best vision
# Pricing details
python3 {baseDir}/scripts/model_intel.py price "gemini-flash"
```
## Use Cases
| Command | When |
|---------|------|
| `best fast` | Need lowest latency |
| `best cheap` | Budget-constrained |
| `best code` | Programming tasks |
| `best reasoning` | Complex logic/math |
| `best vision` | Image understanding |
| `best long-context` | Large document processing |
## 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)