tech-stack-evaluator SKILL.md skillA

tech-stack-evaluator from borghei/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add borghei/claude-skills/tech-stack-evaluator@v1.1.0

Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
borghei/claude-skills
Path
engineering/tech-stack-evaluator/SKILL.md
Versions recorded
5
Latest version
v1.1.0, committed Jun 22, 2026
First version recorded
Mar 21, 2026
Size
6,302 bytes
Repository stars
1,075
License
a license file GitHub does not identify

Evaluate and compare technology stacks with TCO analysis, security assessment, and ecosystem health scoring. Use when comparing frameworks, calculating total cost of ownership, assessing migration paths, or analyzing ecosystem viability.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Technology Stack Evaluator

Evaluate and compare technologies, frameworks, and cloud providers with data-driven, weighted analysis and actionable recommendations.

## Core Capabilities

- **Technology comparison** — weighted multi-criteria scoring of frameworks and libraries across 8 categories.
- **TCO analysis** — 5-year total cost of ownership including hidden costs (technical debt, vendor lock-in, turnover).
- **Ecosystem health** — viability scoring from GitHub, npm, community, and corporate-backing metrics.
- **Security assessment** — vulnerability/patch scoring and compliance readiness for GDPR, SOC2, HIPAA, PCI-DSS.
- **Migration analysis** — complexity, effort, risk, and recommended approach (direct/phased/strangler).
- **Cloud comparison** — compare AWS, Azure, GCP for specific workloads.

## When to Use

- Comparing frontend/backend frameworks for new projects
- Evaluating cloud providers for specific workloads
- Planning technology migrations with risk assessment
- Calculating build vs. buy decisions with TCO
- Assessing open-source library viability
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add borghei/claude-skills/tech-stack-evaluator@sha256:c1e2e4c95c7d93c8

The line at the top of this page pins the label v1.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_o6b4ry4nejvfn3xo.svg)](https://markdownregistry.com/a/art_o6b4ry4nejvfn3xo)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Mar 21, 2026 and Jun 22, 2026, about one every 23 days.

versioncommittedcommitsizeaudit
v1.1.0 latest2026-06-22 65b93aa 6,302 BA view · diff
v1.1.02026-06-17 8980a67 5,651 BA view · diff
v1.0.02026-06-17 0c19211 24,879 BA view · diff
v1.0.02026-03-30 6b5a5d8 24,915 BA view · diff
git:20260321.deb73d42026-03-21 deb73d4 24,685 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6302 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

borghei/claude-skills · 1,075 stars · license a license file GitHub does not identify · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_o6b4ry4nejvfn3xo
GET https://markdownregistry.com/api/v1/resolve?ref=borghei/claude-skills/tech-stack-evaluator
GET https://markdownregistry.com/api/v1/blob/c1e2e4c95c7d93c8d5e10a762b27a2dbfdd8e555a4f6121660593a1a01311405

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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