Skill flagged — suspicious patterns detected

ClawHub Security flagged this skill as suspicious. Review the scan results before using.

AI 模型智能管家

v1.0.0

自动监控 AI 模型动态,搜集免费 tokens,生成周度部署建议,支持一键审批上线及安全回滚管理。

0· 78·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for hhbb2221/ai-model-steward.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "AI 模型智能管家" (hhbb2221/ai-model-steward) from ClawHub.
Skill page: https://clawhub.ai/hhbb2221/ai-model-steward
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install ai-model-steward

ClawHub CLI

Package manager switcher

npx clawhub@latest install ai-model-steward
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Suspicious
medium confidence
Purpose & Capability
The code implements monitoring, scraping, report generation, and deployment (modifying OpenClaw config)—this matches the stated purpose. However metadata is inconsistent: the top-level registry 'Requirements' reported no required env vars, while skill.json and README clearly require an OPENROUTER_API_KEY (and mention Feishu OAuth). That mismatch between declared registry requirements and the packaged skill.json is a red flag.
!
Instruction Scope
Runtime instructions and code read and write the user's ~/.openclaw/openclaw.json, prompt for an OpenRouter API key, scrape multiple external websites, cache results to ~/.openclaw/.ai-model-steward, and (when approving) modify the global OpenClaw agents.defaults.model fallback list. Those file accesses and global-config modifications go beyond mere 'reporting' and are high-impact; the SKILL.md does not clearly warn users that installing will alter their OpenClaw config.
Install Mechanism
No remote downloads or extract operations; packaging is a normal Python project (setup.py) with a single dependency (requests). Install via pip install -e . is standard and proportional.
Credentials
The skill legitimately needs an OpenRouter API key to call the OpenRouter API (skill.json documents OPENROUTER_API_KEY). The repository and README also mention optional Feishu (飞书) tokens for saving reports. The initial registry metadata (shown above) incorrectly listed no required env vars — this discrepancy should be resolved before trusting the skill.
!
Persistence & Privilege
The skill modifies a global agent configuration file (~/.openclaw/openclaw.json): it creates backups and writes updated configs to add/remove models in the fallback chain. Modifying other skills'/global agent settings is a high privilege action; although it is aligned with the declared deployment purpose, it substantially increases risk if the skill or its credentials are compromised.
What to consider before installing
What to consider before installing: - Metadata mismatch: the registry summary showed no required env vars, but skill.json and the code require OPENROUTER_API_KEY (and optionally Feishu tokens). Don't trust the top-line registry claim — verify the skill.json and README. - Back up your OpenClaw config (~/.openclaw/openclaw.json) before installing or running this tool. The deployer will read, backup, and overwrite that file to add/remove fallback models. - Review the code yourself (or have someone you trust audit it). The package is pure Python and readable; check any missing modules (e.g., bitable_writer referenced but not included) and confirm no hidden network endpoints. - Limit credentials: if you provide OPENROUTER_API_KEY or Feishu app tokens, prefer creating least-privilege tokens or using ephemeral/test accounts first. The tool will read tokens from your openclaw.json or prompt for them. - Run in an isolated environment first (VM or non-production user account) to confirm behavior (what files are written, how backups are made, what network calls occur). - If you plan to allow automated cron runs, be aware that scheduled execution plus the ability to modify global config increases blast radius—ensure you trust the author or have internal approval processes in place. If you want, I can: (a) list the exact lines that read/write ~/.openclaw/openclaw.json, (b) show where the code prompts for or uses credentials, or (c) suggest a minimal safe test plan to run the tool in isolation.

Like a lobster shell, security has layers — review code before you run it.

aivk9729cqndfey91pqa4gfsf8kt183zp0mdeploymentvk9729cqndfey91pqa4gfsf8kt183zp0mintelligencevk9729cqndfey91pqa4gfsf8kt183zp0mlatestvk9729cqndfey91pqa4gfsf8kt183zp0mmodelsvk9729cqndfey91pqa4gfsf8kt183zp0mmonitoringvk9729cqndfey91pqa4gfsf8kt183zp0mopenroutervk9729cqndfey91pqa4gfsf8kt183zp0m
78downloads
0stars
1versions
Updated 3w ago
v1.0.0
MIT-0

AI 模型智能管家

全自动监控最新 AI 模型动态,每日搜集免费 tokens 信息,每周生成部署建议,支持一键审批上线。

功能

  • 📡 每日情报: 自动监控 OpenRouter、机器之心、量子位、HuggingFace 等平台
  • 🎁 免费追踪: 汇总免费 tokens 领取渠道和限时优惠
  • 📊 周报分析: AI 生成周度部署建议,对比模型质量/价格
  • 🔌 一键部署: 审批通过后自动加入模型切换链
  • 🔄 安全回滚: 每次部署自动备份,支持一键回滚

快速开始

安装

cd ~/.openclaw/workspace/projects/ai-model-steward
pip install -e .

手动执行

# 每日情报
ai-model-steward daily

# 周报
ai-model-steward weekly

# 查看历史
ai-model-steward history

# 审批模型
ai-model-steward approve openrouter/qwen/qwen3-coder:free

# 移除模型
ai-model-steward reject openrouter/qwen/qwen3-coder:free

# 查看当前切换链
ai-model-steward deploy list

定时任务(自动)

已内置 2 个定时任务:

  • 每天 9:00 执行情报搜集
  • 每周一 10:00 生成周报

开源协议

MIT

赞助支持

如果这个项目帮到你,欢迎赞助 ❤️

  • GitHub Sponsor
  • 微信赞赏码
  • 支付宝

作者

老徐

更新日志

  • 0.1.0 (2026-03-31) - 初始版本

Comments

Loading comments...