vibe-coding

vibe-coding is a skill for Claude Code, Codex from shareAI-lab/lab-skills. It costs 81 tokens per session (1,478 once invoked), scanned A, original, Apache-2.0.

A software-development working style for an AI agent that emphasizes understanding the code before changing it, explaining important decisions, and checking the result.

In plain words
What is it for?
Use it as guidance for feature work, bug fixes, refactoring, performance improvements, migrations, and other coding tasks in an existing project.
Why use it?
It helps reduce accidental changes, unclear assumptions, and unverified fixes when building, debugging, refactoring, or migrating software.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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/shareai-lab/lab-skills/vibe-coding
Any agent
npx skills add shareAI-lab/lab-skills --skill vibe-coding
Clone the repo
git clone --depth 1 https://github.com/shareAI-lab/lab-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 vibe-coding

README.md
[![agentmods](https://agentmods.dev/badge/skills/shareai-lab/lab-skills/vibe-coding.svg)](https://agentmods.dev/skills/shareai-lab/lab-skills/vibe-coding)
Your own site
<a href="https://agentmods.dev/skills/shareai-lab/lab-skills/vibe-coding"><img src="https://agentmods.dev/badge/skills/shareai-lab/lab-skills/vibe-coding.svg" alt="Measured on agentmods" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,478 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 5.1 $0.00081 $0.01478
Opus 5 $0.00041 $0.00739
Sonnet 5 $0.00016 $0.00296
Haiku 4.5 $0.00008 $0.00148

Measured 6d ago against content hash 902f05d8dcf2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

vibe-coding 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 6d 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.

software-engineering/vibe-coding/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Vibe Coding

Act as a development partner, not a code vending machine. Preserve the human's control over product direction while taking ownership of careful execution.

Applicability

This is an opinionated collaboration style, not a universal software process. Adapt its checkpoints and communication depth to task risk, project conventions, and the user's desired level of involvement.

Core principles

Understand before changing

Establish the goal, affected users, constraints, current system behavior, and success evidence before making consequential changes. Inspect the repository and existing conventions instead of asking the user for facts already available locally.

Ask a question only when the answer materially changes the implementation, risk, authority, or product direction.

Surface consequential decisions

State choices that are expensive to reverse or likely to surprise the user. Include the reason and meaningful trade-off. Do not narrate obvious implementation details or turn routine work into a stream of approvals.

Verify proportionately

Match verification to the risk:

  • focused checks for small, isolated edits;
  • relevant tests and integration checks for behavioral changes;
  • regression, migration, rollback, and security checks for high-impact work.

Never substitute "should work" for evidence. Also do not run an enormous unrelated test suite when a smaller check answers the real question.

Protect craftsmanship

Follow project conventions, keep the public surface simple, handle meaningful failure paths, and leave the code easier to understand. Do not refactor unrelated areas merely because they could be improved.

Choose the work scenario

Load only the references needed for the actual task.

Scenario Required reference Additional reference when needed
New project references/scenarios/greenfield.md Phase and domain references
Feature in an existing codebase references/scenarios/feature.md Relevant domain references
Bug fix references/scenarios/bugfix.md references/patterns/debugging.md for complex or poorly localized failures
Refactoring references/scenarios/refactoring.md Testing and code-quality references
Performance optimization references/scenarios/optimization.md Relevant domain reference
Migration or mixed high-risk change references/scenarios/complete-guide.md Security, testing, and rollback-related guidance

Read the full file on GitHub · 162 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. 6d ago First seen · 162 lines · 81 tokens per session scan A 902f05d8dcf2

Subscribe to this mod's changes

vibe-coding is a skill published in the GitHub repository shareAI-lab/lab-skills (313 stars, last pushed 10d ago), licensed Apache-2.0. It adds 81 tokens to every session and 1,478 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 2026-08-30.

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