tech-stack-eval

tech-stack-eval is a skill for Claude Code, Codex from shawnpang/startup-founder-skills. It costs 55 tokens per session (1,821 once invoked), scanned A, original, MIT.

A decision process for choosing or changing programming languages, frameworks, databases, cloud providers, and other technology. It compares options against requirements, team skills, timing, scale, and total cost of ownership.

In plain words
What is it for?
Use it to compare technologies, plan migrations, assess open-source tools, and evaluate build-versus-buy decisions.
Why use it?
It helps avoid choosing technology based only on habit or hype and makes hidden migration, maintenance, and operating costs visible.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to compare technologies, plan migrations, assess open-source tools, and evaluate…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shawnpang/startup-founder-skills/tech-stack-eval
Install

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.

Any agent
npx skills add shawnpang/startup-founder-skills --skill tech-stack-eval
Clone the repo
git clone --depth 1 https://github.com/shawnpang/startup-founder-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for tech-stack-eval

README.md
[![agentmods](https://agentmods.dev/badge/skills/shawnpang/startup-founder-skills/tech-stack-eval.svg)](https://agentmods.dev/skills/shawnpang/startup-founder-skills/tech-stack-eval)
Your own site
<a href="https://agentmods.dev/skills/shawnpang/startup-founder-skills/tech-stack-eval"><img src="https://agentmods.dev/badge/skills/shawnpang/startup-founder-skills/tech-stack-eval.svg" alt="Measured on agentmods" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,821 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.01821
Opus 5 $0.00028 $0.00911
Sonnet 5 $0.00011 $0.00364
Haiku 4.5 $0.00006 $0.00182

Measured 7d ago against content hash bff539d89bcb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

tech-stack-eval 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 7d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/tech-stack-eval/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tech Stack Evaluation

When to Use

  • Comparing frontend/backend frameworks or libraries for new projects
  • Evaluating cloud providers (AWS vs Azure vs GCP) for specific workloads
  • Planning technology migrations with risk and effort assessment
  • Calculating TCO including hidden costs; making build vs. buy decisions
  • Assessing open-source library viability and ecosystem health

Do NOT use when: the decision is trivial (use team preference), the technology is already mandated, or this is an emergency production issue.

Context Required

From startup-context: product type, team skills, tech stack, stage, scale, budget. Also ask:

  • What problem are you solving? (push back on solution-first thinking)
  • Non-negotiable requirements (performance, compliance, team familiarity)
  • Team experience with each option and timeline pressure (tight deadlines favor familiar tools)
  • Growth expectations that affect scalability requirements

Workflow

  1. Clarify the decision — What exactly is being decided and what are the real requirements? Push back if the user picks tech before defining the problem.
  2. Identify candidates — List 2-4 realistic options. Exclude clearly wrong choices early.
  3. Define weighted evaluation criteria — Select 6-8 criteria from the master list below. Assign weights based on the user's priorities (total = 100%).
  4. Score each candidate — Rate 1-5 on each criterion with one-line justification per score.
  5. Assess ecosystem health — Evaluate GitHub activity, npm/PyPI adoption, community strength, corporate backing, and trajectory (growing, stable, declining).
  6. Calculate TCO — Project 5-year total cost including compute, storage, bandwidth, licensing, engineering time (setup + ongoing), and operational overhead. Engineering time is usually the largest cost for startups.
  7. Analyze migration path — If migrating, estimate effort, risks, timeline, and recommend phased approach (strangler fig pattern).
  8. Deliver recommendation — Clear winner with rationale and confidence level. No "it depends" without a follow-up question to resolve the ambiguity.

Read the full file on GitHub · 153 lines

Changes

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.

  1. 7d ago First seen · 153 lines · 55 tokens per session scan A bff539d89bcb

Subscribe to this mod's changes

tech-stack-eval is a skill published in the GitHub repository shawnpang/startup-founder-skills (316 stars, last pushed 5mo ago), licensed MIT. It adds 55 tokens to every session and 1,821 once invoked, about $0.0003 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.

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