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Data Pipeline Toolkit
by
Sunshine-del-ux
· GitHub ↗
· v1.0.0
614
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0
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11
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1
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Install in OpenClaw
/install data-pipeline-toolkit
Description
Create, schedule, and monitor ETL pipelines extracting from APIs, databases, files, and streams, with transform and load support to warehouses and APIs.
README (SKILL.md)
Data Pipeline Toolkit
Build ETL pipelines in minutes.
Features
- Extract - APIs, databases, files, streams
- Transform - Clean, filter, aggregate, join
- Load - Data warehouses, databases, APIs
- Scheduling - Cron-based or event-driven
- Monitoring - Alerts on failures
Quick Start
# Create pipeline
./pipeline.sh create my-pipeline
# Add extract step
./pipeline.sh extract my-pipeline api --url https://api.example.com
# Add transform
./pipeline.sh transform my-pipeline filter "age > 18"
# Add load
./pipeline.sh load my-pipeline postgres --connection $DB_URL
# Run
./pipeline.sh run my-pipeline
Sources
- REST APIs
- GraphQL
- SQL Databases
- CSV/JSON/Parquet files
- S3/Google Cloud Storage
- Kafka/SQS
Destinations
- PostgreSQL/MySQL
- Snowflake/BigQuery
- S3
- APIs
- Data warehouses
Requirements
- Python 3.8+
- Docker (optional)
Author
Sunshine-del-ux
Usage Guidance
This skill is a documentation stub rather than a runnable tool: it references ./pipeline.sh and $DB_URL but includes no code or install instructions. Do not provide credentials or set DB_URL for this skill. Before installing or using it, ask the author for: (1) the pipeline.sh (or a clear install procedure), (2) a list of exact environment variables/credentials required and why, and (3) the source/homepage or repository so you can review the implementation. If you must test it, run any provided scripts in an isolated sandbox or disposable environment and inspect the script contents first. Prefer skills that include code or an install mechanism and that explicitly declare required credentials and their scope.
Capability Analysis
Type: OpenClaw Skill
Name: data-pipeline-toolkit
Version: 1.0.0
The skill bundle consists of standard metadata and documentation (SKILL.md) for a data pipeline toolkit. The documentation describes typical ETL (Extract, Transform, Load) operations and command-line usage for a script named pipeline.sh. No executable code or malicious instructions were found in the provided files.
Capability Assessment
Purpose & Capability
The description promises a full ETL toolkit, but the package contains no code, binaries, or install instructions. The Quick Start assumes a local executable (./pipeline.sh) that is not included. That mismatch means the skill cannot actually provide the claimed capabilities without external artifacts.
Instruction Scope
Runtime instructions tell the agent to run ./pipeline.sh create/extract/transform/load/run and reference an environment variable ($DB_URL) and external endpoints (https://api.example.com). The SKILL.md does not explain where pipeline.sh comes from, how to install it, or which credentials are required. The instructions are therefore vague and depend on unspecified external files.
Install Mechanism
There is no install spec (instruction-only), so nothing will be written to disk by installing the skill — this reduces install risk but also means the skill provides no runnable implementation. The lack of an install path is a functional gap rather than a security-safe implementation.
Credentials
The SKILL.md uses $DB_URL when demonstrating load steps but the skill declares no required environment variables or primary credential. Several sources/destinations are listed (S3, GCS, Kafka, Snowflake, BigQuery) but no credentials or config paths are requested or documented. That mismatch is a red flag: the skill will need secrets in practice, but none are declared.
Persistence & Privilege
The skill does not request persistent presence (always: false) and allows normal model invocation. It does not declare any config paths or system modifications. There are no elevated privileges requested.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install data-pipeline-toolkit - After installation, invoke the skill by name or use
/data-pipeline-toolkit - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Data Pipeline Toolkit.
- Build ETL pipelines quickly via CLI.
- Supports extracting data from APIs, databases, files, and streams.
- Transform data with cleaning, filtering, aggregation, and joins.
- Load data to warehouses, databases, and APIs.
- Includes cron-based or event-driven scheduling and failure monitoring.
- Compatible with Python 3.8+ (Docker optional).
Metadata
Frequently Asked Questions
What is Data Pipeline Toolkit?
Create, schedule, and monitor ETL pipelines extracting from APIs, databases, files, and streams, with transform and load support to warehouses and APIs. It is an AI Agent Skill for Claude Code / OpenClaw, with 614 downloads so far.
How do I install Data Pipeline Toolkit?
Run "/install data-pipeline-toolkit" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Data Pipeline Toolkit free?
Yes, Data Pipeline Toolkit is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Data Pipeline Toolkit support?
Data Pipeline Toolkit is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Data Pipeline Toolkit?
It is built and maintained by Sunshine-del-ux (@sunshine-del-ux); the current version is v1.0.0.
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