vibecode-pro-max-kit: Skill for Claude Code

.claude/skills/vc-scout/SKILL.md

vc-scout is a skill for Claude Code from withkynam/vibecode-pro-max-kit. It costs 33 tokens per session (840 once invoked), scanned A, original, MIT.

A fast codebase-scanning workflow for finding files, understanding project structure, and gathering focused task context.

In plain words
What is it for?
Use it to locate relevant files with shell searches and, when useful, divide larger searches among research agents. It can also summarize the findings in the project's required communication style.
Why use it?
It reduces the time spent searching across directories before a feature change or debugging session.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions subagents; mentions OpenCode.

This is withkynam/vibecode-pro-max-kit's own configuration. It tells Claude Code how to work on vibecode-pro-max-kit itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything vibecode-pro-max-kit configures →

About the project

vibecode-pro-max-kit is a set of instructions, agents, skills, hooks, and settings that gives AI coding agents a plan-first software development workflow. It is designed for developers, product owners, and other builders using agents such as Claude Code, Codex, Cursor, Windsurf, or Copilot across different technology stacks. The catalogue entries are the kit's own workflow components.

withkynam/vibecode-pro-max-kit · 1,155 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to withkynam/vibecode-pro-max-kit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/withkynam/vibecode-pro-max-kit/main/.claude/skills/vc-scout/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/withkynam/vibecode-pro-max-kit

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 vc-scout

README.md
[![agentmods](https://agentmods.dev/badge/skills/withkynam/vibecode-pro-max-kit/vc-scout/github.svg)](https://agentmods.dev/skills/withkynam/vibecode-pro-max-kit/vc-scout)
Your own site
<a href="https://agentmods.dev/skills/withkynam/vibecode-pro-max-kit/vc-scout"><img src="https://agentmods.dev/badge/skills/withkynam/vibecode-pro-max-kit/vc-scout/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 vc-scout

Your own site · 80×15
<a href="https://agentmods.dev/skills/withkynam/vibecode-pro-max-kit/vc-scout"><img src="https://agentmods.dev/badge/skills/withkynam/vibecode-pro-max-kit/vc-scout.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 840 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00033 $0.00840
Opus 5.5 $0.00013 $0.00336
Sonnet 5.5 $0.00007 $0.00168
Haiku 4.5 $0.00003 $0.00084

Measured 1mo ago against content hash bb4d8c474cb4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

vc-scout 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 1mo 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.

.claude/skills/vc-scout/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Scout

Output style: Follow process/development-protocols/communication-standards.md — answer-first, plain language, no unexplained jargon, TL;DR on long responses.

Fast, token-efficient codebase scouting using parallel agents to find files needed for tasks.

Arguments

  • Default: Scout using local shell search plus optional parallel research-agent delegation (./references/internal-scouting.md)
  • ext: Scout using external Gemini/OpenCode CLI tools in parallel (./references/external-scouting.md)

When to Use

  • Beginning work on feature spanning multiple directories
  • User mentions needing to "find", "locate", or "search for" files
  • Starting debugging session requiring file relationships understanding
  • User asks about project structure or where functionality lives
  • Before changes that might affect multiple codebase parts

Quick Start

  1. Analyze user prompt to identify search targets
  2. Use a wide range of Grep and Glob patterns to find relevant files and estimate scale of the codebase
  3. Use local shell search first, then optionally spawn parallel research-agent workers with divided directories when the search space is large
  4. Collect results into concise report

Configuration

Read from .claude/.vc.json (falls back to legacy .claude/.ck.json if present):

  • gemini.model - Gemini model (default: gemini-3-flash-preview)

Workflow

1. Analyze Task

  • Parse user prompt for search targets
  • Identify key directories, patterns, file types, lines of code
  • Determine optimal SCALE value of subagents to spawn

2. Divide and Conquer

  • Split codebase into logical segments per agent
  • Assign each agent specific directories or patterns
  • Ensure no overlap, maximize coverage

3. Register Scout Tasks

  • Parallel task registration and external orchestration patterns are optional, not required for normal scouting in this repo
  • See references/task-management-scouting.md only when you are intentionally coordinating a larger parallel scout workflow

Read the full file on GitHub · 95 lines

Files

What ships with it

3 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. 1mo ago First seen · 95 lines · 33 tokens per session scan A bb4d8c474cb4

Subscribe to this mod's changes

vc-scout is a skill published in the GitHub repository withkynam/vibecode-pro-max-kit (1,155 stars, last pushed 4mo ago), licensed MIT. It adds 33 tokens to every session and 840 once invoked, about $0.0001 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 2026-08-30.