Industry-standard reviewAI Developmentv0.7.2

db-context-engineering Agent Plugin

Context Engineering Agent for generating natural language to SQL templates, facets, and value searches. This catalog entry is pinned to reviewed commit 9736754fc610 and records a qualification score of 94/100.

0 repository stars Apache-2.0 Updated Aug 7, 2026

Independent catalog review

Qualification snapshot

Qualified

Format

100/100

Quality

87/100

Qualified

94/100

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

Installation

Install Db Context Engineering

Install the plugin from GoogleCloudPlatform/db-context-enrichment at plugin. The generated command uses sparse checkout and keeps the reviewed repository path visible.

Terminal · Git sparse checkout
git clone --filter=blob:none --sparse https://github.com/GoogleCloudPlatform/db-context-enrichment.git
cd db-context-enrichment
git sparse-checkout set plugin
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: GitHub tree 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 clearly scoped, specialized agent plugin for database context engineering and NL-to-SQL optimization. It provides a coherent end-to-end workflow covering initialization, schema-based bootstrapping, dataset generation, evaluation, and hill-climbing, with extensive reference material for SQL dialects, acceptance criteria, review, and dataset formats. The MCP configuration exposes dedicated context-engineering and Toolbox servers, while the skills contain concrete gates, artifacts, validation ste

Capabilities

What can you do with db-context-engineering?

Context Engineering Agent for generating natural language to SQL templates, facets, and value searches.

The reviewed package declares 7 skill(s), 1 MCP configuration(s), and 0 additional resource(s).

  • Use the context-engineering-bootstrap skill from the reviewed package
  • Use the context-engineering-dataset-generation skill from the reviewed package
  • Use the context-engineering-evaluate skill from the reviewed package
  • Connect through the db-context-engineering MCP configuration
  • Review the fixed plugin manifest at commit 9736754fc610
  • Install the package from GoogleCloudPlatform/db-context-enrichment/plugin

Reviewed package scope

Context Engineering Agent for generating natural language to SQL templates, facets, and value searches.

Fixed-source qualification

Inspect the package at commit 9736754fc610 with recorded format, quality, and qualification evidence.

Practical workflow

A source-backed Db Context Engineering 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 db-context-engineering?

db-context-engineering declares 7 Skills, 1 MCP configuration, and 0 additional resources. The included-file links below point to the reviewed source repository.

Agent Skills

7

context-engineering-bootstrap, context-engineering-dataset-generation, context-engineering-evaluate, context-engineering-hillclimb, context-engineering-init, context-engineering-workflow, context-generation-guide

MCP servers

1

Portable MCP configuration

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/GoogleCloudPlatform/db-context-enrichment#readme

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

Source documentation

Db Context Engineering 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

Context Engineering Agent for generating natural language to SQL templates, facets, and value searches.

Reviewed package inventory

  • Skills: context-engineering-bootstrap, context-engineering-dataset-generation, context-engineering-evaluate, context-engineering-hillclimb, context-engineering-init, context-engineering-workflow, context-generation-guide
  • MCP configurations: db-context-engineering
  • Additional resources: None declared
  • Plugin directory: plugin
  • Reviewed commit: 9736754fc61001c55e85ef0eb31deccce57e5002

Qualification snapshot

  • Industry-standard format score: 100/100
  • Plugin quality score: 87/100
  • Qualification score: 94/100
  • Classification: agent-plugin

Editorial assessment excerpt

A clearly scoped, specialized agent plugin for database context engineering and NL-to-SQL optimization. It provides a coherent end-to-end workflow covering initialization, schema-based bootstrapping, dataset generation, evaluation, and hill-climbing, with extensive reference material for SQL dialects, acceptance criteria, review, and dataset formats. The MCP configuration exposes dedicated context-engineering and Toolbox servers, while the skills contain concrete gates, artifacts, validation ste…

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 GoogleCloudPlatform/db-context-enrichment using the plugin directory plugin.
  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/GoogleCloudPlatform/db-context-enrichment/blob/9736754fc61001c55e85ef0eb31deccce57e5002/plugin/plugin.json

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