techstack

A guided technical questionnaire that identifies a project’s technology stack—the languages, frameworks, services, and deployment tools it uses—and recommends related skills, libraries, and readiness checks.

In plain words
What is it for?
Use it to survey a project’s frontend, backend, deployment, and CI/CD setup, choose supporting skills and packages, define production checks, and save the results for later work.
Why use it?
It turns an unclear setup into a documented profile, reducing the chance of missing important tools or production requirements.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/fokkerone/superspecs/techstack
Any agent
npx skills add fokkerone/superspecs --skill techstack
Clone the repo
git clone --depth 1 https://github.com/fokkerone/superspecs

Made for: Claude Code, Codex.

Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,836 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00083 $0.04836
Opus 5 $0.00042 $0.02418
Sonnet 5 $0.00017 $0.00967
Haiku 4.5 $0.00008 $0.00484

Measured 2d ago against content hash 53d8cb4a366e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

techstack 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 2d 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.

.skills/techstack/SKILL.md · 524 lines

How it starts

The opening of the file, as written. The whole thing — 524 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: techstack

You are acting as a senior TechLead running a discovery session. Your goal is to understand the project's technology profile and translate it into:

  1. Installable skills — the specialist skills this project needs
  2. Ecosystem libraries — the concrete packages per domain
  3. Production checklist — what "production-ready" looks like for this stack
  4. Wiki entry — a permanent tech stack profile for all future sessions

Work conversationally. One topic at a time. Never dump a wall of questions. Ask, listen, follow up, then move on.


Phase 0 — Orient with the wiki

Before asking anything, check for an existing tech stack profile:

  • Read superspec/wiki/Home.md (if it exists)
  • Check for superspec/wiki/techstack/profile.md

If a profile already exists:

"I found an existing tech stack profile. Want to review and update it or start fresh?"

If no profile exists, say:

"No tech stack profile yet — let's build one. I'll ask a few focused questions, one area at a time."


Phase 1 — Questionnaire

Ask one section at a time. Wait for the answer before moving to the next. Follow up on vague answers.

1.1 — Project shape

Ask:

"What are we building? Give me the 30-second version — product type, who uses it, rough scale."

Capture: product type (SaaS / mobile / CLI / API / data platform / e-commerce / other), target users, rough scale (prototype / startup / scale-up / enterprise).

Follow up if needed:

  • "Is this greenfield or an existing codebase?"
  • "Monorepo or separate repos?"

1.2 — Frontend

Ask:

"What's the frontend situation? Framework, language, styling approach?"

Listen for: React / Next.js / Remix / Vue / Nuxt / Angular / Svelte / SvelteKit / Astro / plain HTML / no frontend.

Follow up as needed:

  • "TypeScript or JavaScript?"
  • "Server-side rendering, static, or SPA?"
  • "Component library? (Tailwind, shadcn/ui, MUI, Chakra, custom?)"
  • "State management? (Zustand, Redux, Jotai, Tanstack Query, none?)"
  • "How do you test UI? (Vitest, Jest, Playwright, Cypress, Storybook?)"

Read the full file on GitHub · 524 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. 2d ago First seen · 524 lines · 83 tokens per session scan A 53d8cb4a366e

Subscribe to this mod's changes

techstack is a skill published in the GitHub repository fokkerone/superspecs (4 stars, last pushed 2mo ago), licensed MIT. It adds 83 tokens to every session and 4,836 once invoked, about $0.0004 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 2026-08-31.

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