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 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/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<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="Reviewed on agentmods" width="80" 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 5.1 | $0.00027 | $0.03276 |
| Opus 5.5 | $0.00011 | $0.01310 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 (889 stars, last pushed 11mo ago), licensed MIT. It adds 27 tokens to every session and 3,276 once invoked, about $0.0001 per session on Opus 5.5. 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
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.
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.
stuck
Diagnoses a broken course setup by reading the folder, so the student never has to describe the problem in English. Takes no argument. Reports which class they are on and which files are filled, then names one blocker and one fix: Claude Code opened at the wrong level, .claude/skills/ missing, skills not loading…
wrap-up
Saves today's work session as a four-line entry (did, decided, open, next) at the top of the project's log.md, after the student confirms it, so a fresh chat can continue tomorrow with /pick-up. Writes to projects/ /log.md or career-vault/log.md, one entry per project touched, never to new-client. Use when the student…
pick-up
Reads the newest entry of a project's log.md and tells the student where they left off: what they did and decided, what is open, and the next step. Takes an optional project name. With several projects and no name, shows a menu of each project's last entry. Read only. Use when the student says pick up, where did I…
grill-me
One move you can run on anything: point grill-me at a target and it makes you defend your thinking from first principles until the true matter is clear. Point it at your working contract and it rewrites the weak lines in place. Point it at a brief and it produces a Requirements Handshake. Point it at research, an…