← 返回 Skills 市场
chinmayagit

warehouse

作者 CHINMAYA GARNAIK · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
285
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install warehouse-reports
功能描述
Generate warehouse analytics charts, table images, and report-ready visuals from SQLite/CSV data. Use when the user asks for warehouse charts, product table...
安全使用建议
This skill appears coherent and limited to reading the SQLite DB you pass and writing report files to the chosen output directory. Before running: (1) ensure the DB file is from a trusted source (malformed or adversarial DB files can cause surprises in some environments), (2) run in a Python virtualenv with matplotlib installed, (3) choose an output directory you control (scripts will create and write files there), and (4) if you have concerns, inspect the two provided Python scripts locally — they contain only SELECT queries and plotting code. If you need networked or cloud-backed warehouse access, expect additional credentials or a different skill.
功能分析
Type: OpenClaw Skill Name: warehouse-reports Version: 1.0.0 The skill bundle is a legitimate tool for generating warehouse analytics reports and visualizations from a SQLite database. The scripts 'run_warehouse_reports.py' and 'product_table_image.py' use standard libraries (sqlite3, matplotlib) to query data and produce charts, CSVs, and summary text files. No evidence of malicious intent, data exfiltration, or unauthorized execution was found.
能力评估
Purpose & Capability
Name/description match the included scripts: both Python scripts read a provided SQLite DB and produce images/CSV/text outputs. There are no unrelated credentials, binaries, or config paths required.
Instruction Scope
SKILL.md only instructs running the provided scripts with a DB path and output directory. The scripts run a limited set of SELECT queries, create image/text/CSV outputs under the specified output directory, and do not access other files, env vars, or external endpoints.
Install Mechanism
There is no install spec; the skill is instruction+script only. It relies on Python and matplotlib which the SKILL.md notes (virtualenv recommended). No downloads or archive extraction are performed.
Credentials
The skill requests no environment variables or credentials. The scripts only accept --db and --out arguments and do not read environment secrets.
Persistence & Privilege
always is false and the skill does not modify agent/system configuration. It writes outputs only to the user-specified output directory.
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 warehouse-reports
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /warehouse-reports 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 of the warehouse-chart-reports skill. - Generate warehouse analytics charts and report-ready visuals from SQLite/CSV data. - Supports creation of key images: stock status pie chart, revenue by category, 30-day profit trends, product tables, missing products list, and KPI summaries. - Designed for easy integration into PDF or slide reports. - Includes command-line instructions and recommendations for generating visuals.
元数据
Slug warehouse-reports
版本 1.0.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

warehouse 是什么?

Generate warehouse analytics charts, table images, and report-ready visuals from SQLite/CSV data. Use when the user asks for warehouse charts, product table... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 285 次。

如何安装 warehouse?

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

warehouse 是免费的吗?

是的,warehouse 完全免费(开源免费),可自由下载、安装和使用。

warehouse 支持哪些平台?

warehouse 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 warehouse?

由 CHINMAYA GARNAIK(@chinmayagit)开发并维护,当前版本 v1.0.0。

💬 留言讨论