tech-selection

tech-selection is a skill for Claude Code from daymade/claude-code-skills. It costs 93 tokens per session (2,884 once invoked), scanned A, original, MIT.

A gated checklist for choosing technologies such as libraries, frameworks, storage systems, data formats, models, or architectures. It tests candidates against business needs, prior work, observed behaviour, and maintenance concerns before implementation.

In plain words
What is it for?
Use it before committing to a technical choice, to filter candidates, probe whether they work as claimed, and present surviving options with their trade-offs.
Why use it?
It prevents choosing a technology based only on rankings or preference, and stops when candidates still require a human trade-off.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the daymade-claude-code plugin — 21 skills shipped together

Good fit Use it before committing to a technical choice, to filter candidates, probe whether they work as claimed, and present surviving options with their trade-offs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/daymade/claude-code-skills/tech-selection
About the project

Claude Code Skills Marketplace is a collection and marketplace of skills, plugins, agents, and instructions that extend Claude Code with specialized development workflows. It is for developers who want to install existing workflows or create, validate, and package their own Claude Code skills.

daymade/claude-code-skills · 1,516 stars · on GitHub

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 daymade/claude-code-skills --skill tech-selection
Clone the repo
git clone --depth 1 https://github.com/daymade/claude-code-skills

Made for: Claude Code.

Or install daymade-claude-code, the plugin that ships this one along with the rest of its 21 skills.

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-selection

README.md
[![agentmods](https://agentmods.dev/badge/skills/daymade/claude-code-skills/tech-selection/github.svg)](https://agentmods.dev/skills/daymade/claude-code-skills/tech-selection)
Your own site
<a href="https://agentmods.dev/skills/daymade/claude-code-skills/tech-selection"><img src="https://agentmods.dev/badge/skills/daymade/claude-code-skills/tech-selection/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.

agentmods 80×15 button for tech-selection

Your own site · 80×15
<a href="https://agentmods.dev/skills/daymade/claude-code-skills/tech-selection"><img src="https://agentmods.dev/badge/skills/daymade/claude-code-skills/tech-selection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,884 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 $0.00093 $0.02884
Opus 5.5 $0.00037 $0.01154
Sonnet 5.5 $0.00019 $0.00577
Haiku 4.5 $0.00009 $0.00288

Measured 8d ago against content hash 5c2417e27bfc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tech-selection 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 8d 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.

daymade-claude-code/tech-selection/SKILL.md · 214 lines

How it starts

The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tech Selection — Gated Checklist

A checklist for choosing between technologies, not a scoring rubric. The core insight: these criteria are filters, not sorters — they kill candidates that violate a principle. Keep the candidates and trade-offs visible, then apply the current authorization: choose and verify an authorized reversible implementation; return unresolved business, product or preference trade-offs to the user. Candidate count, duration and confidence language do not determine who decides.

These outcomes end the protocol early:

  1. User-owned choice — missing authorization or a genuine unresolved business, product or preference trade-off. Return the evidence and recommendation.
  2. Unverified completion claim — withhold the claim, execute authorized verification, and report any remaining acceptance gap.

Not This

  • Not for research reports (use deep-research), debugging or bug fixes in already-settled code, or price comparisons between vendors — none of these is choosing a technology.
  • Not an interview framework — the user delegates implementation, not direction. Don't ask "which do you prefer" when you can probe and decide.
  • Not a scoring rubric — no weighted scores, no "winner" ranking. Filters, then business anchor.
  • Not self-certifying — the "why this isn't garbage" defense is written by this skill but must be independently checkable, not self-approved.
  • Not a cost gate — budget sets execution tier (which model runs), never whether to do it. Don't use cost as a rejection reason for the user's own projects.
  • Not a scope expander — no unrequested features, frameworks, or complexity.
  • Not package-size-driven — line count and bundle size are proxies, not quality.

Execution Protocol

Lightweight path. For a small reversible local implementation with no external contract, run Steps 0, 1 and the applicable Step 3 axes. Use the short output below; run the necessary authorized probe before claiming the result works. A JSON library inside a bug fix fits; the project's storage engine or external field contract requires the full protocol even if the change takes under 10 minutes. Duration estimates effort, not authorization. When unsure which path applies, take the full protocol. Both paths obey the stops and any explicit current-task instruction.

Read the full file on GitHub · 214 lines

Files

What ships with it

7 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.

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. 8d ago Changed · +11 lines 5c2417e27bfc
  2. 27d ago Changed · +20 lines · -13 tokens per session d62966956eeb
  3. 1mo ago Changed · +3 lines faa49447b5f5
  4. 1mo ago Changed · -9 lines · -165 tokens per session d2ea7a8240cc
  5. 1mo ago Changed · +4 lines 410d919b72dc
  6. 1mo ago First seen · 185 lines · 271 tokens per session scan A c6b5d3cd76b5

Subscribe to this mod's changes

tech-selection is a skill published in the GitHub repository daymade/claude-code-skills (1,516 stars, last pushed yesterday), licensed MIT. It adds 93 tokens to every session and 2,884 once invoked, about $0.0004 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 2026-09-21.

Related

tech-selection compared with skills from other repositories

tech-selection next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
tech-selectiondaymade/claude-code-skillsSkill1.5kyesterdayMITA93Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code