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.
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.
npx agentmods add skills/withkynam/vibecode-pro-max-kit/vc-scoutnpx skills add withkynam/vibecode-pro-max-kit --skill vc-scoutgit clone --depth 1 https://github.com/withkynam/vibecode-pro-max-kitWrote 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.
[](https://agentmods.dev/skills/withkynam/vibecode-pro-max-kit/vc-scout)<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="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.00840 |
| Opus 5 | $0.00016 | $0.00420 |
| Sonnet 5 | $0.00007 | $0.00168 |
| Haiku 4.5 | $0.00003 | $0.00084 |
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 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.
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-agentdelegation (./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
- Analyze user prompt to identify search targets
- Use a wide range of Grep and Glob patterns to find relevant files and estimate scale of the codebase
- Use local shell search first, then optionally spawn parallel
research-agentworkers with divided directories when the search space is large - 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.mdonly when you are intentionally coordinating a larger parallel scout workflow
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.
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.
- 6d ago First seen · 95 lines · 33 tokens per session scan A bb4d8c474cb4
vc-scout is a skill published in the GitHub repository withkynam/vibecode-pro-max-kit (1,114 stars, last pushed 2mo ago), licensed MIT. It adds 33 tokens to every session and 840 once invoked, about $0.0002 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.
Other skills, from other repositories
implement
End-to-end workflow for taking MCP work items from backlog to merged PR. Handles git branching, schema-driven planning, implementation, independent review, and PR creation. Composes spec-quality, review-quality, and schema-workflow skills into a single pipeline. Use when a user says "implement this", "work on this…
session-retrospective
Analyzes the current implementation run — evaluates schema effectiveness, delegation alignment, note quality, and plan-to-execution fit. Captures cross-session trends and proposes improvements when patterns repeat. Use after implementation runs, or when user says 'retrospective', 'session review', 'what did we learn'…
quick-start
Interactive onboarding for the MCP Task Orchestrator. Detects empty or populated workspaces and walks through how plan mode, persistent tracking, and the MCP work together. Use when a user says "get started", "how do I use this", "quick start", "first time setup", "onboard me", "what can this MCP do", or "help me…
ralph
Launcher for the Ralph-style queue drain script — emits the right node ralph-loop.mjs invocation based on the user's filter and bounds. The actual loop runs as a Node script that spawns one claude -p --worktree per iteration; this skill is the configurator, not the loop. Use when a user says: drain the backlog, ralph…
adopt-project-scope
Migrates an already-populated, unscoped Task Orchestrator database in place to the project-scoping convention — creates a project anchor root, re-parents existing work trees under it, and writes rootId back to config.yaml. Use when a user says: adopt project scope, migrate this database to project scoping, make this…
dependency-manager
Visualizes, creates, and diagnoses dependencies between MCP work items. Use when a user says: what blocks this, add a dependency, show dependency graph, why can't this start, link these items, unblock this, remove dependency, or show blockers.