Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/alirezarezvani/claude-code-skill-factory/tech-stack-evaluatornpx skills add alirezarezvani/claude-code-skill-factory --skill tech-stack-evaluatorgit clone --depth 1 https://github.com/alirezarezvani/claude-code-skill-factoryWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/alirezarezvani/claude-code-skill-factory/tech-stack-evaluator)<a href="https://agentmods.dev/skills/alirezarezvani/claude-code-skill-factory/tech-stack-evaluator"><img src="https://agentmods.dev/badge/skills/alirezarezvani/claude-code-skill-factory/tech-stack-evaluator.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00027 | $0.03276 |
| Opus 5 | $0.00014 | $0.01638 |
| Sonnet 5 | $0.00005 | $0.00655 |
| Haiku 4.5 | $0.00003 | $0.00328 |
Grade A, and why
tech-stack-evaluator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 430 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technology Stack Evaluator
A comprehensive evaluation framework for comparing technologies, frameworks, cloud providers, and complete technology stacks. Provides data-driven recommendations with TCO analysis, security assessment, ecosystem health scoring, and migration path analysis.
Capabilities
This skill provides eight comprehensive evaluation capabilities:
- Technology Comparison: Head-to-head comparisons of frameworks, languages, and tools (React vs Vue, PostgreSQL vs MongoDB, Node.js vs Python)
- Stack Evaluation: Assess complete technology stacks for specific use cases (real-time collaboration, API-heavy SaaS, data-intensive platforms)
- Maturity & Ecosystem Analysis: Evaluate community health, maintenance status, long-term viability, and ecosystem strength
- Total Cost of Ownership (TCO): Calculate comprehensive costs including licensing, hosting, developer productivity, and scaling
- Security & Compliance: Analyze vulnerabilities, compliance readiness (GDPR, SOC2, HIPAA), and security posture
- Migration Path Analysis: Assess migration complexity, risks, timelines, and strategies from legacy to modern stacks
- Cloud Provider Comparison: Compare AWS vs Azure vs GCP for specific workloads with cost and feature analysis
- Decision Reports: Generate comprehensive decision matrices with pros/cons, confidence scores, and actionable recommendations
Input Requirements
Flexible Input Formats (Automatic Detection)
The skill automatically detects and processes multiple input formats:
Text/Conversational:
"Compare React vs Vue for building a SaaS dashboard"
"Evaluate technology stack for real-time collaboration platform"
"Should we migrate from MongoDB to PostgreSQL?"
Structured (YAML):
comparison:
technologies:
- name: "React"
- name: "Vue"
use_case: "SaaS dashboard"
priorities:
- "Developer productivity"
- "Ecosystem maturity"
- "Performance"
Structured (JSON):
{
"comparison": {
"technologies": ["React", "Vue"],
"use_case": "SaaS dashboard",
"priorities": ["Developer productivity", "Ecosystem maturity"]
}
}
What ships with it
13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- ecosystem_analyzer.py 16 KB runs code
- expected_output_comparison.json 1.9 KB
- format_detector.py 12 KB runs code
- HOW_TO_USE.md 9.0 KB
- migration_analyzer.py 20 KB runs code
- README.md 19 KB
- report_generator.py 16 KB runs code
- sample_input_structured.json 1.1 KB
- sample_input_tco.json 1.1 KB
- sample_input_text.json 237 B
- security_assessor.py 17 KB runs code
- stack_comparator.py 12 KB runs code
- tco_calculator.py 16 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 430 lines · 27 tokens per session scan A 898e889b86b5
tech-stack-evaluator is a skill published in the GitHub repository alirezarezvani/claude-code-skill-factory (855 stars, last pushed 9mo ago), licensed MIT. It adds 27 tokens to every session and 3,276 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
golden-jupyter-dir
Use when testing the goldenjupyterdir golden build.
golden-man-kw
Use when testing the man golden build.
skill-builder
Automatically detect source types and build AI skills using Skill Seekers. Use when the user wants to create skills from documentation, repos, PDFs, videos, or other knowledge sources.
golden-chat-topics
Use when testing the goldenchattopics golden build.
golden-chat-single
Use when testing the goldenchatsingle golden build.
golden-rss-empty
Use when testing the empty rss golden build.