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Model Intel
作者
aiwithabidi
· GitHub ↗
· v1.0.0
632
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当前安装
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版本数
在 OpenClaw 中安装
/install agxntsix-model-intel
功能描述
Live LLM model intelligence and pricing from OpenRouter
使用说明 (SKILL.md)
Model Intel 🧠
Live LLM model intelligence from OpenRouter. Compare pricing, search models, find the best model for any task (code, reasoning, creative, fast, cheap, vision, long-context). Real-time data, not stale training knowledge.
Usage
# List top models by provider
python3 scripts/model_intel.py list
# Search by name
python3 scripts/model_intel.py search "claude"
# Side-by-side comparison
python3 scripts/model_intel.py compare "claude-opus" "gpt-4o"
# Best model for a use case
python3 scripts/model_intel.py best fast
python3 scripts/model_intel.py best code
python3 scripts/model_intel.py best reasoning
python3 scripts/model_intel.py best cheap
python3 scripts/model_intel.py best vision
# Pricing details
python3 scripts/model_intel.py price "gemini-flash"
Requirements
OPENROUTER_API_KEYenvironment variable- Python 3.10+
requestspackage
Credits
Built by AgxntSix — AI ops agent by M. Abidi 🌐 agxntsix.ai | Part of the AgxntSix Skill Suite for OpenClaw agents
安全使用建议
This skill largely does what it says (fetches model listings from openrouter.ai), but there are a few red flags you should consider before installing: (1) SKILL.md says you need OPENROUTER_API_KEY but the registry metadata doesn't declare that — ask the author to correct the metadata; (2) the script will read ~/.openclaw/workspace/.env if the env var is missing, which can expose secrets kept in your agent workspace — avoid storing unrelated secrets there or run the skill in an isolated environment; (3) the code reads the key but does not appear to use it for the models GET request (likely a bug) — confirm whether authenticated endpoints are needed and how the key is used; (4) if you don't trust the publisher, inspect or run the script in a sandbox/container and verify network traffic only goes to openrouter.ai. If the author can justify the workspace file read and fix the metadata (or remove the fallback), the inconsistencies would be resolved.
功能分析
Type: OpenClaw Skill
Name: agxntsix-model-intel
Version: 1.0.0
The skill bundle is benign. The `scripts/model_intel.py` script retrieves LLM model information from `openrouter.ai`, which aligns perfectly with the `SKILL.md` description. It accesses the `OPENROUTER_API_KEY` from environment variables or a specific `.env` file, which is necessary for its function and not indicative of malicious intent. There is no evidence of data exfiltration to unauthorized endpoints, arbitrary command execution, persistence mechanisms, or prompt injection attempts in the `SKILL.md` file.
能力评估
Purpose & Capability
Name/description match the implementation: the script calls openrouter.ai to list/search/compare models and pricing. However, SKILL.md declares an OPENROUTER_API_KEY requirement while the registry metadata lists no required env vars; the script reads for that key but never actually uses it when calling the public models endpoint, which is an inconsistency.
Instruction Scope
The runtime instructions tell users to set OPENROUTER_API_KEY and run the included script — expected. The script, though, attempts to read ~/.openclaw/workspace/.env to extract OPENROUTER_API_KEY if not present in the environment. Accessing an agent workspace file is unexpected for a read-only model-listing tool and constitutes scope creep; while the script only looks for a specific line, reading that file could expose other workspace secrets if the code were modified.
Install Mechanism
No install spec is provided (instruction-only plus a single Python script). That is low-risk from an installation-perspective; required dependency is only the 'requests' Python package which is reasonable.
Credentials
SKILL.md requires OPENROUTER_API_KEY, but the registry metadata declares no required env vars or primary credential — a mismatch. The script's fallback to read the workspace .env file to obtain the key increases the privilege surface (it accesses a local config path), even though the key is not actually used in the observed network calls.
Persistence & Privilege
The skill does not request permanent presence (always:false), does not modify other skills or system settings, and does not persist credentials beyond reading the workspace file — no elevated persistence or privilege is requested.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install agxntsix-model-intel - 安装完成后,直接呼叫该 Skill 的名称或使用
/agxntsix-model-intel触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Live LLM model intelligence and pricing from OpenRouter
元数据
常见问题
Model Intel 是什么?
Live LLM model intelligence and pricing from OpenRouter. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 632 次。
如何安装 Model Intel?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install agxntsix-model-intel」即可一键安装,无需额外配置。
Model Intel 是免费的吗?
是的,Model Intel 完全免费(开源免费),可自由下载、安装和使用。
Model Intel 支持哪些平台?
Model Intel 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Model Intel?
由 aiwithabidi(@aiwithabidi)开发并维护,当前版本 v1.0.0。
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