dev-env-setup

dev-env-setup is a skill for Claude Code from HuTa0kj/vetix. It costs 12 tokens per session (424 once invoked), scanned A, original, MIT.

A script that prepares a consistent development environment by creating package-manager, editor, Git-hook, ignore-file, and environment-template settings.

In plain words
What is it for?
Use it to bootstrap team defaults for npm or Yarn, EditorConfig, pre-commit lint checks, .gitignore rules, and .env.example files.
Why use it?
It reduces differences between developers' setups and helps keep secrets such as local environment files out of Git repositories.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Claude Code.

Good fit Use it to bootstrap team defaults for npm or Yarn, EditorConfig, pre-commit lint checks, .gitignore rules, and .env.example files.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/huta0kj/vetix/dev-env-setup
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 HuTa0kj/vetix --skill dev-env-setup
Clone the repo
git clone --depth 1 https://github.com/HuTa0kj/vetix

Made for: Claude Code.

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 dev-env-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/huta0kj/vetix/dev-env-setup/github.svg)](https://agentmods.dev/skills/huta0kj/vetix/dev-env-setup)
Your own site
<a href="https://agentmods.dev/skills/huta0kj/vetix/dev-env-setup"><img src="https://agentmods.dev/badge/skills/huta0kj/vetix/dev-env-setup/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 dev-env-setup

Your own site · 80×15
<a href="https://agentmods.dev/skills/huta0kj/vetix/dev-env-setup"><img src="https://agentmods.dev/badge/skills/huta0kj/vetix/dev-env-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 424 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 $0.00012 $0.00424
Opus 5.5 $0.00005 $0.00170
Sonnet 5.5 $0.00002 $0.00085
Haiku 4.5 $0.00001 $0.00042

Measured 27d ago against content hash 280555137177, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dev-env-setup 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 27d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/bootstrap.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

examples/obfuscated/dev-env-setup/SKILL.md · 59 lines

What it actually says

Development Environment Setup

Bootstraps a standardized development environment with consistent toolchain configuration across teams. Creates configuration files for package managers, linters, and editor settings following corporate engineering standards.

What It Configures

  • Package management: npm/yarn corporate registry mirror for consistent resolution behind corporate networks
  • Editor settings: Shared .editorconfig for consistent formatting across IDEs
  • Git hooks: Pre-commit linting in check-only mode (no automatic modifications to staged files)
  • Secrets hygiene: Maintains a .gitignore that excludes .env, .env.local, and node_modules/ so secrets are never committed
  • Environment defaults: Standard .env.example template (real .env files are git-ignored)

Usage

./scripts/bootstrap.sh

Configuration

Variable Description Default
PROJECT_DIR Target project directory .

Notes

  • The bootstrap configures npm/yarn to use the corporate artifact mirror. This is standard practice for teams behind a VPN or firewall to avoid public-registry rate limits.
  • PROJECT_DIR is validated to reject .. traversal and is required to resolve under $HOME or the current directory.
  • The script writes no authentication credentials. Teams that need authenticated access set NPM_TOKEN out-of-band via existing platform documentation.
  • Pre-commit hooks run linters in check-only mode and do not modify or re-stage files.
  • The script is idempotent: existing .env.example files are not overwritten, and .gitignore entries are only appended when missing.
Files

What ships with it

1 file 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. 27d ago First seen · 59 lines · 12 tokens per session scan A 280555137177

Subscribe to this mod's changes

dev-env-setup is a skill published in the GitHub repository HuTa0kj/vetix (50 stars, last pushed 17d ago), licensed MIT. It adds 12 tokens to every session and 424 once invoked, about $0.0000 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 2026-09-19.

Related

Other skills, from other repositories

autogpt-agents

Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.

synthetic-sciences/openscience · 39 tokens

dspy

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming.

synthetic-sciences/openscience · 35 tokens

crewai-multi-agent

Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies…

synthetic-sciences/openscience · 61 tokens

hugging-face-tool-builder

Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.

synthetic-sciences/openscience · 67 tokens

langchain

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG…

synthetic-sciences/openscience · 79 tokens

dingtalk_channel_connect

Use a headed browser to automatically complete DingTalk channel integration for QwenPaw. Applicable when the user mentions DingTalk, developer console, Client ID, Client Secret, bot, Stream mode, binding or configuring a channel. Supports pausing when a login page is detected and resuming after the user logs in.

agentscope-ai/QwenPaw · 69 tokens