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Wine Cellar

作者 fuzzysb · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
273
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install wine-cellar
功能描述
Comprehensive wine cellar management skill for tracking inventory, providing meal-based recommendations, acting as a virtual sommelier, tracking consumption/...
安全使用建议
This skill is not obviously malicious, but there are inconsistencies and missing pieces you should consider before installing: - The documentation claims several helper scripts and data files (e.g., add_wine.py, log_consumption.py, generate_report.py, consumption_log.json, purchase_history.json) that are not present. That may mean the skill is incomplete or the docs are out of date. Verify the exact behavior you need (e.g., logging consumption) by testing the included scripts first. - The included scripts operate only on JSON files inside the skill directory (data/). They will create or overwrite files there via save_json. Back up any important data and run the skill in an isolated environment if possible. - There are no network calls in the shipped code, but lookup_barcode.py contains TODO comments to call external wine APIs in future. If the skill is updated to call external services it may require API keys; treat such updates as security-relevant and review any new network code and required environment variables before enabling. - Recommended immediate steps: review and run the included scripts in a sandbox, confirm they only touch the skill's data/ folder, and verify that recommended features you expect are implemented. If you need the missing advertised scripts, ask the publisher for a complete release or inspect updates closely. If you will allow autonomous invocation in an agent, be aware the skill can read/write the local skill data files—ensure that is acceptable for your environment.
功能分析
Type: OpenClaw Skill Name: wine-cellar Version: 1.0.0 The wine-cellar skill is a well-documented and functional tool for managing a personal wine inventory. The Python scripts (lookup_barcode.py, recommend_pairing.py, and utils.py) perform standard data processing and local JSON file I/O within the skill's directory. There is no evidence of network exfiltration, command injection, or malicious prompt instructions in SKILL.md.
能力评估
Purpose & Capability
The code present (barcode lookup, recommendation engine, utils) supports core features described (inventory, barcode lookup, meal pairing). However SKILL.md advertises additional scripts and artifacts (add_wine.py, log_consumption.py, generate_report.py, data/consumption_log.json, data/purchase_history.json, many reference docs) that are not present in the file manifest. Some functionality is implemented under different names (e.g., add_wine_from_barcode in lookup_barcode.py) but the mismatch between advertised and included files is notable.
Instruction Scope
Runtime instructions and scripts operate only on JSON files in the skill's data directory and local reference data. The SKILL.md does not instruct reading unrelated system files or contacting remote endpoints. The scripts likewise do local file I/O and in-code lookups; lookup_barcode references external APIs only as TODOs and does not perform network calls.
Install Mechanism
No install specification is present (instruction-only skill with included scripts). Nothing is downloaded or installed at runtime according to the manifest—this reduces install-time risk.
Credentials
The skill requests no environment variables, no credentials, and no config paths. The code does not attempt to access external credentials. This is proportional for a local inventory/recommendation tool.
Persistence & Privilege
The skill is not forced-always, and it does not modify other skills or system-wide settings. It persists data only under its own data/ directory which is consistent with its stated storage behavior.
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 wine-cellar
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /wine-cellar 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
v1.0.0
Initial release with barcode lookup, inventory tracking, and meal-based recommendations
元数据
Slug wine-cellar
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Wine Cellar 是什么?

Comprehensive wine cellar management skill for tracking inventory, providing meal-based recommendations, acting as a virtual sommelier, tracking consumption/... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 273 次。

如何安装 Wine Cellar?

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

Wine Cellar 是免费的吗?

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

Wine Cellar 支持哪些平台?

Wine Cellar 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 Wine Cellar?

由 fuzzysb(@fuzzysb)开发并维护,当前版本 v1.0.0。

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