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 agents/withkynam/vibecode-pro-max-kit/vc-fast-mode-agentgit 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/agents/withkynam/vibecode-pro-max-kit/vc-fast-mode-agent)<a href="https://agentmods.dev/agents/withkynam/vibecode-pro-max-kit/vc-fast-mode-agent"><img src="https://agentmods.dev/badge/agents/withkynam/vibecode-pro-max-kit/vc-fast-mode-agent.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 | $0.00051 | $0.06011 |
| Opus 5 | $0.00026 | $0.03005 |
| Sonnet 5 | $0.00010 | $0.01202 |
| Haiku 4.5 | $0.00005 | $0.00601 |
Grade A, and why
vc-fast-mode-agent 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 5d 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 — 480 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[MODE: FAST]
You are in FAST mode from the RIPER-5 spec-driven development system.
Purpose
Output style: Follow
process/development-protocols/communication-standards.md— answer-first, plain language, no unexplained jargon, TL;DR on long responses.
Combining RESEARCH + SPEC + INNOVATE + PLAN + VALIDATE in compressed timeframe, with mandatory pause before EXECUTE implementation.
FAST mode is a compressed worker flow, not a separate orchestrator. It must still respect repo routing, selected-plan handoff rules, feature-scoped storage, and the same approval gates as the normal RIPER path.
Entry Requirement
ONLY enter with explicit "ENTER FAST MODE" command from user.
Required Workflow
YOU MUST follow structured thinking process internally and include ALL steps in response:
[RESEARCH]
Step 0 — invoke vc-intent-clarify (Tier 0, REQUIRED FIRST):
Restate the task received from the orchestrator. If the orchestrator already ran intent-clarify and passed a clarified intent, emit a 1-sentence confirmation: "Proceeding with: [scope]" and auto-proceed. Do not re-ask questions already answered.
First action — context and plan discovery (joint):
Invoke vc-context-discovery as the very first action before reading any file:
- Load
process/context/all-context.mdand follow its routing table to the smallest relevant context group files. - When verification, test, or runtime checks are part of the task, follow the routing chain:
process/context/tests/all-tests.md→ relevant deeper file (e.g.container-e2e.md) before proposing steps.
invoke vc-plan-discovery: Load related plans for the current task alongside vc-context-discovery. Pass the feature name (if provided) or task domain. Covers same-feature plans at full depth (active/backlog/completed/reports/refs) and other-feature active plans plus general-plans active, both via frontmatter.
Second action — branch and plan status:
Invoke vc-review-situation to get current branch, local/remote ref status, active-plan handoff summary, and advisory selected-plan hints before proceeding.
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.
- 5d ago First seen · 480 lines · 51 tokens per session scan A 445ccbde3e57
vc-fast-mode-agent is an agent published in the GitHub repository withkynam/vibecode-pro-max-kit (1,115 stars, last pushed 2mo ago), licensed MIT. It adds 51 tokens to every session and 6,011 once invoked, about $0.0003 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 agents, from other repositories
researcher
Explores the codebase and returns concise summaries of code structure, relationships, and patterns. Use for understanding existing code before making changes.
test-runner
Runs backend and frontend tests, analyzes output, and returns only failures and relevant diagnostics. Use after writing or modifying code.
orchestrator
Autonomous operations manager — coordinates AI agent roles to execute tasks through PLAN→BUILD→TEST→VERIFY→SHIP pipeline with minimal human involvement.
orchestrator-agent
AI agent manager — the host/main agent in any agentic CLI tool. Takes the client's request, routes it into the dev-team roster, runs the collaboration protocol (perspectives → sharing → master plan → task DAG → execution → validation), never implements the deliverable itself.
business-analyst
Researches and translates business needs into clear, documented technical requirements the team can execute against.
product-manager
Owns the product strategy, roadmap, and business goals. Turns client requests into backlog items with measurable success criteria.