Industry-standard reviewDeveloper Toolsv1.7.0

data-tools Agent Plugin

Structured data manipulation with jq, yq, dasel, qsv, and mlr for JSON, JSONL, YAML, TOML, XML, and CSV processing This catalog entry is pinned to reviewed commit 08d0eb5b5de3 and records a qualification score of 92/100.

0 repository stars (MIT AND CC-BY-SA-4.0) Updated Aug 9, 2026

Independent catalog review

Qualification snapshot

Qualified

Format

100/100

Quality

84/100

Qualified

92/100

Scores reflect package format and editorial quality checks at the fixed reviewed commit. They are not popularity ratings or security guarantees.

Installation

Install Data Tools

Install the plugin from netresearch/data-tools-skill at .. The generated command uses sparse checkout and keeps the reviewed repository path visible.

Terminal · Git sparse checkout
git clone --depth 1 https://github.com/netresearch/data-tools-skill.git
cd data-tools-skill
Review the fixed manifest and documentation before enabling the plugin.
Confirm your agent client supports the declared Agent Plugins specification.
Inspect required credentials, commands, network access, and side effects in the upstream source.

Explainable standards check

Latest official standard could not be confirmed

Official latest version: 1.0.0 (Working Draft). The value is read from the official specification and cached for one day.

Read the official specification

This is a static package-format check, not a security audit, quality score, malware scan, or guarantee of client compatibility.

Source package available for inspection

The package could not be checked: plugin.json returned 429.

Static source inspection

Independent catalog review

Why this plugin qualified

This is the original assessment excerpt captured during manual catalog selection. It describes review evidence, not a security guarantee or user rating.

A well-scoped structured-data manipulation plugin with a clear audience, strong tool-selection guidance, practical command examples, anti-patterns, references, installation options, licensing, and evaluation/CI-related repository structure. It offers meaningful value beyond a trivial wrapper by covering five complementary tools and format-specific workflows. Completeness is somewhat reduced because the supplied evidence does not show the referenced cookbooks or eval contents, and the SKILL.md ad

Capabilities

What can you do with data-tools?

Structured data manipulation with jq, yq, dasel, qsv, and mlr for JSON, JSONL, YAML, TOML, XML, and CSV processing

The reviewed package declares 1 skill(s), 0 MCP configuration(s), and 0 additional resource(s).

  • Use the data-tools skill from the reviewed package
  • Review the fixed plugin manifest at commit 08d0eb5b5de3
  • Install the package from netresearch/data-tools-skill/.
  • Verify the declared 1 skill, 0 MCP, and 0 resource entries
  • Compare the format, quality, and qualification evidence recorded by the catalog review

Reviewed package scope

Structured data manipulation with jq, yq, dasel, qsv, and mlr for JSON, JSONL, YAML, TOML, XML, and CSV processing

Fixed-source qualification

Inspect the package at commit 08d0eb5b5de3 with recorded format, quality, and qualification evidence.

Practical workflow

A source-backed Data Tools workflow

Pass 01 / Inspect

Review the fixed source

Inspect plugin.json, the linked documentation, package inventory, license, and qualification excerpt at the reviewed commit.

Pass 02 / Verify

Install and validate locally

Install from the pinned repository path, confirm the client discovers the declared components, and review permissions before real use.

Package contents

What is included in data-tools?

data-tools declares 1 Skill, 0 MCP configurations, and 0 additional resources. The included-file links below point to the reviewed source repository.

Agent Skills

1

data-tools

MCP servers

0

No runtime service

Package format

Agent Plugins

Official latest 1.0.0

Synced source content

Repository README

View original README

This README snapshot is stored by Agent Plugins Hub and refreshed by the daily GitHub synchronization pipeline. Remote images and embedded content are not loaded.

Source
https://github.com/netresearch/data-tools-skill#readme

This repository does not currently provide a README snapshot. The plugin instructions below remain available.

Source documentation

Data Tools source documentation

Rendered from the linked GitHub source. Raw HTML is disabled, scripts cannot execute, remote images are omitted, and external links open separately.

Catalog scope

This page describes the fixed source snapshot selected for the Agent Plugins Hub catalog. It does not extend the upstream package's claims.

Package summary

Structured data manipulation with jq, yq, dasel, qsv, and mlr for JSON, JSONL, YAML, TOML, XML, and CSV processing

Reviewed package inventory

  • Skills: data-tools
  • MCP configurations: None declared
  • Additional resources: None declared
  • Plugin directory: .
  • Reviewed commit: 08d0eb5b5de3aa6a5f0d798f432634dd76c41819

Qualification snapshot

  • Industry-standard format score: 100/100
  • Plugin quality score: 84/100
  • Qualification score: 92/100
  • Classification: agent-plugin

Editorial assessment excerpt

A well-scoped structured-data manipulation plugin with a clear audience, strong tool-selection guidance, practical command examples, anti-patterns, references, installation options, licensing, and evaluation/CI-related repository structure. It offers meaningful value beyond a trivial wrapper by covering five complementary tools and format-specific workflows. Completeness is somewhat reduced because the supplied evidence does not show the referenced cookbooks or eval contents, and the SKILL.md ad…

The source CSV stores a 500-character assessment excerpt, so the paragraph above may end mid-sentence. It is review evidence, not a security guarantee or user rating.

Installation and verification

  1. Inspect the linked manifest and source documentation at the reviewed commit.
  2. Install from netresearch/data-tools-skill using the plugin directory ..
  3. Confirm your client discovers the declared components.
  4. Review credentials, commands, network access, permissions, and consequential side effects before use.

Provenance

Manifest: https://github.com/netresearch/data-tools-skill/blob/08d0eb5b5de3aa6a5f0d798f432634dd76c41819/plugin.json

The catalog entry is pinned to the exact commit used during qualification. Upstream content may change after that snapshot.