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warehouse
by
CHINMAYA GARNAIK
· GitHub ↗
· v1.0.0
285
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Install in OpenClaw
/install warehouse-reports
Description
Generate warehouse analytics charts, table images, and report-ready visuals from SQLite/CSV data. Use when the user asks for warehouse charts, product table...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install warehouse-reports - After installation, invoke the skill by name or use
/warehouse-reports - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is warehouse?
Generate warehouse analytics charts, table images, and report-ready visuals from SQLite/CSV data. Use when the user asks for warehouse charts, product table... It is an AI Agent Skill for Claude Code / OpenClaw, with 285 downloads so far.
How do I install warehouse?
Run "/install warehouse-reports" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is warehouse free?
Yes, warehouse is completely free (open-source). You can download, install and use it at no cost.
Which platforms does warehouse support?
warehouse is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created warehouse?
It is built and maintained by CHINMAYA GARNAIK (@chinmayagit); the current version is v1.0.0.
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