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Mealmastery

作者 Rooster-Cogburn77 · GitHub ↗ · v1.0.1 · MIT-0
darwinlinuxwin32 ✓ 安全检测通过
167
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1
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0
当前安装
2
版本数
在 OpenClaw 中安装
/install mealmastery
功能描述
Plan meals, manage recipes, and build grocery lists with AI through natural language conversation.
安全使用建议
This skill appears internally consistent with its stated purpose, but before installing: (1) verify the npm package and GitHub repo (https://github.com/MealMasteryAI/mcp-server) and inspect the package/source if you can, since npx will fetch/execute it at runtime; (2) create an API key with limited scope or a test account and avoid using a privileged account; (3) be careful with checkout actions — always confirm dry_run previews before allowing real checkouts to Instacart/Kroger; (4) back up ~/.openclaw/config.json before modifying it, and ensure the MEALMASTERY_API_KEY is stored securely (rotate it if leaked); (5) if you need higher assurance, request the package source and audit it or run the MCP server in an isolated environment.
功能分析
Type: OpenClaw Skill Name: mealmastery Version: 1.0.1 The MealMastery skill bundle is a legitimate integration for a meal planning and grocery management service. It utilizes a standard MCP server architecture via npx and includes well-defined guardrails in SKILL.md to ensure user confirmation before destructive actions or financial transactions (grocery checkout). No indicators of data exfiltration, malicious execution, or prompt injection were found.
能力评估
Purpose & Capability
Name/description (meal planning, recipes, grocery checkout) match the declared requirements: node + an @mealmastery npm package and a MEALMASTERY_API_KEY API key. Nothing requested (binaries/env) appears unrelated to the stated purpose.
Instruction Scope
SKILL.md instructs adding an mcpServers entry to ~/.openclaw/config.json to launch the MCP server via npx and to provide the MEALMASTERY_API_KEY. All runtime actions described (generate meal plans, create grocery lists, optionally checkout to providers like Instacart/Kroger) fall within the skill's stated scope. Note: checkout operations can perform real cart additions/orders—guardrails recommend dry_run and explicit user confirmation, which should be enforced in practice.
Install Mechanism
Install is via an npm package (@mealmastery/mcp-server) invoked with npx; this is expected for a Node-based MCP bridge. This is moderate-risk (runtime package fetch) but not unusual or opaque — no downloads from arbitrary URLs or IPs are used.
Credentials
Only a single required environment variable (MEALMASTERY_API_KEY) is declared and used; it is the primary credential for the service and is justified by the skill's purpose. No unrelated secrets or multiple credentials are requested.
Persistence & Privilege
The skill does not request always:true and can be user-invoked. It does instruct the user to modify ~/.openclaw/config.json to register an MCP server so the package can run; this is a local config change (normal for MCP-style skills) but users should be aware it persists a command that will be run (via npx) when invoked.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install mealmastery
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /mealmastery 触发
  4. 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
v1.0.1
v1.0.1: Fixes repository link; no functional changes. - Updated the GitHub repository URL to point to the correct public repository (MealMasteryAI/mcp-server). - No changes to code or functionality.
v1.0.0
v1.0.0: 24 tools, 3 resources, 4 prompt templates. Streaming progress, quota awareness, checkout safety guardrails.
元数据
Slug mealmastery
版本 1.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Mealmastery 是什么?

Plan meals, manage recipes, and build grocery lists with AI through natural language conversation. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 167 次。

如何安装 Mealmastery?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install mealmastery」即可一键安装,无需额外配置。

Mealmastery 是免费的吗?

是的,Mealmastery 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Mealmastery 支持哪些平台?

Mealmastery 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(darwin, linux, win32)。

谁开发了 Mealmastery?

由 Rooster-Cogburn77(@rooster-cogburn77)开发并维护,当前版本 v1.0.1。

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