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在 OpenClaw 中安装
/install meow-finder
功能描述
CLI tool to discover AI tools. Search 40+ curated tools by category, pricing, and use case.
安全使用建议
This skill appears to be an offline CLI that searches a bundled JSON of AI tools and is internally coherent. Before installing: (1) if you plan to run npm install -g meow-finder, verify the package source (registry/GitHub) because npm will fetch dependencies listed in package.json; (2) note package.json lists node-fetch/commander/chalk though the provided bin script doesn't use them — a minor packaging inconsistency but not necessarily malicious; (3) review the repository (https://github.com/abgohel/meow-finder) and package.json for any unexpected lifecycle scripts before installing globally. If you only want to use the data, you can inspect data/tools.json locally without running external installs.
功能分析
Type: OpenClaw Skill
Name: meow-finder
Version: 1.0.0
The skill bundle implements a simple, offline CLI tool to search for AI tools from a local JSON dataset. The `bin/meow-finder.js` script reads `data/tools.json` and filters results based on command-line arguments. There is no evidence of data exfiltration, malicious execution, persistence, or prompt injection attempts in `SKILL.md` or `README.md`. Although `package.json` lists `node-fetch` as a dependency, the provided JavaScript code does not actually use it or perform any network requests, making the skill's operation entirely local and benign.
能力评估
Purpose & Capability
The name/description (discover AI tools) align with the included files: a small CLI (bin/meow-finder.js) and a data/tools.json list. However, package.json lists dependencies (node-fetch, commander, chalk) that the shipped CLI does not use; this is a packaging inconsistency but not evidence of malicious intent.
Instruction Scope
SKILL.md contains only usage and installation docs for an offline CLI and points to the included data file. The runtime instructions do not ask the agent to read unrelated system files, access credentials, or transmit data to external endpoints.
Install Mechanism
There is no install spec in the registry (instruction-only), but SKILL.md tells users to npm install or git clone. Installing from npm/git would fetch code from the registry or GitHub; the packaged files here contain no downloads or extract steps. Minor concern: package.json declares network-capable dependency (node-fetch) even though the shipped CLI doesn't use it—this means an npm install would still pull additional packages from the registry.
Credentials
The skill requires no environment variables, no credentials, and references only its local data file. There is no disproportionate credential or config access.
Persistence & Privilege
always is false and the skill does not request persistent system modifications. It does not modify other skills or system-wide agent settings.
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 meow-finder - 安装完成后,直接呼叫该 Skill 的名称或使用
/meow-finder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
- Initial release of meow-finder CLI tool.
- Search and filter 40+ curated AI tools by category, pricing, and use case.
- Browse tools for categories like video, image, code, writing, social, productivity, and more.
- Command line options for listing categories, filtering free tools, and browsing all available tools.
- Example output and easy installation instructions provided.
元数据
常见问题
Meow Finder 是什么?
CLI tool to discover AI tools. Search 40+ curated tools by category, pricing, and use case. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 2615 次。
如何安装 Meow Finder?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install meow-finder」即可一键安装,无需额外配置。
Meow Finder 是免费的吗?
是的,Meow Finder 完全免费(开源免费),可自由下载、安装和使用。
Meow Finder 支持哪些平台?
Meow Finder 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 Meow Finder?
由 abgohel(@abgohel)开发并维护,当前版本 v1.0.0。
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