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gitgoodordietrying

CSV Data Pipeline

by gitgoodordietrying · GitHub ↗ · v1.0.0
linuxdarwinwin32 ✓ Security Clean
7685
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2
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0
Active Installs
1
Versions
Install in OpenClaw
/install csv-pipeline
Description
Process, transform, analyze, and report on CSV and JSON data files. Use when the user needs to filter rows, join datasets, compute aggregates, convert formats, deduplicate, or generate summary reports from tabular data. Works with any CSV, TSV, or JSON Lines file.
Usage Guidance
Installers should understand that the examples may create or overwrite local output files such as filtered.csv, data.csv, summary.csv, or report.md if run literally, so use explicit filenames and keep backups for important datasets.
Capability Analysis
Type: OpenClaw Skill Name: csv-pipeline Version: 1.0.0 The OpenClaw AgentSkills skill bundle 'csv-pipeline' is benign. All commands and Python code provided in SKILL.md are standard utilities and library functions for local CSV/JSON data processing (e.g., `head`, `awk`, `sort`, `csv`, `json`). There is no evidence of data exfiltration, malicious execution (like downloading and running remote payloads), persistence mechanisms, or obfuscation. The SKILL.md content serves as legitimate instructions for using the skill and does not contain any prompt injection attempts designed to subvert the agent's behavior or access unrelated sensitive data.
Capability Assessment
✓ Credentials
Use of standard shell tools, Python csv/json modules, and sqlite3 examples is proportionate for local data-processing workflows.
✓ Install Mechanism
The package contains only a Markdown SKILL.md artifact and metadata requiring a Python-capable environment; no bundled executable installer, dependency fetch, or remote payload is present.
✓ Instruction Scope
Instructions are scoped to user-provided CSV, TSV, JSON, and JSON Lines files; examples read and write local data files but do not request unrelated system access or override agent behavior.
✓ Persistence & Privilege
No cross-session persistence, privilege escalation, background service, credential store access, or system modification behavior is present; output files are ordinary user-directed data artifacts.
✓ Purpose & Capability
The skill's stated purpose is tabular data inspection, transformation, aggregation, joining, conversion, cleaning, and reporting, and the included shell/Python snippets match that purpose.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install csv-pipeline
  3. After installation, invoke the skill by name or use /csv-pipeline
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release - CSV/JSON/TSV data processing with filtering, joining, grouping, aggregation, format conversion, deduplication, validation, and report generation using Python and standard CLI tools.
Metadata
Slug csv-pipeline
Version 1.0.0
License —
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is CSV Data Pipeline?

Process, transform, analyze, and report on CSV and JSON data files. Use when the user needs to filter rows, join datasets, compute aggregates, convert formats, deduplicate, or generate summary reports from tabular data. Works with any CSV, TSV, or JSON Lines file. It is an AI Agent Skill for Claude Code / OpenClaw, with 7685 downloads so far.

How do I install CSV Data Pipeline?

Run "/install csv-pipeline" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is CSV Data Pipeline free?

Yes, CSV Data Pipeline is completely free (open-source). You can download, install and use it at no cost.

Which platforms does CSV Data Pipeline support?

CSV Data Pipeline is cross-platform and runs anywhere OpenClaw / Claude Code is available (linux, darwin, win32).

Who created CSV Data Pipeline?

It is built and maintained by gitgoodordietrying (@gitgoodordietrying); the current version is v1.0.0.

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