Tech Stack Evaluator for Openclaw

A data-driven analysis engine for comparing technology stacks, calculating TCO, and assessing ecosystem health.

alirezarezvani
v2.1.1
Mar 9, 2026
0
1.9k
4

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install tech-stack-evaluator

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install tech-stack-evaluator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Tech Stack Evaluator?

The Tech Stack Evaluator is a comprehensive toolset within the Openclaw Skills ecosystem designed to remove subjectivity from architectural decisions. It provides developers and architects with a structured framework to evaluate frameworks, libraries, and cloud providers based on weighted scoring, 5-year total cost of ownership (TCO), and real-world ecosystem metrics.

By leveraging this skill, teams can generate detailed migration plans, security assessments, and confidence-scored recommendations that align with specific business priorities and technical requirements. Whether you are choosing between React and Vue or evaluating AWS versus Azure, this tool provides the data-driven clarity needed for high-stakes technical leadership.

Tech Stack Evaluator Use Cases

  • Comparing frontend or backend frameworks for new greenfield projects based on custom priorities.
  • Evaluating cloud providers for specific workloads to optimize cost and performance.
  • Calculating 5-year total cost of ownership for build vs. buy software decisions.
  • Assessing the long-term viability and ecosystem health of open-source libraries.
  • Planning complex technology migrations with detailed risk, effort, and timeline estimation.

How Tech Stack Evaluator Works

  1. The user provides a technology query via natural language, YAML, or JSON specifying the technologies to compare.
  2. You define priority weights for specific criteria such as developer productivity, ecosystem strength, and performance.
  3. The skill executes specialized Python scripts to gather GitHub metrics, npm adoption data, and security compliance information.
  4. It calculates weighted scores and generates a 5-year TCO projection based on team size and growth metrics.
  5. The agent produces a structured report (Quick, Standard, or Full) featuring a confidence level and actionable recommendations.

Tech Stack Evaluator Setup

To begin using these Openclaw Skills, ensure your environment is configured for Python execution and script dependencies are met.

# Navigate to the skill directory
cd skills/tech-stack-evaluator

# Install necessary dependencies for analysis scripts
pip install -r requirements.txt

# Run a test comparison to verify setup
python scripts/stack_comparator.py --help

Tech Stack Evaluator Data Schema & Taxonomy

The Tech Stack Evaluator organizes its logic and data across several key references and asset files to ensure consistent scoring.

Data Component Purpose
references/metrics.md Contains detailed scoring algorithms and calculation formulas.
references/examples.md Provides input and output templates for all analysis types.
assets/ Stores sample input files for TCO, security, and migration scripts.
scripts/ Contains the core execution logic for comparison and assessment.

Tech Stack Evaluator Advanced Features

  • Multi-year TCO projections with customizable growth rates and hidden cost variables for accurate budgeting.
  • Deep ecosystem health analysis integrating GitHub stars, fork velocity, and npm download trends.
  • Automated security posture evaluation including SOC2 and GDPR compliance readiness checks.
  • Migration complexity estimation using codebase metrics such as lines of code and component counts.
  • Support for programmatic integration via JSON and YAML structured inputs for automated decision-making pipelines.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*