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-scenarionpx skills add withkynam/vibecode-pro-max-kit --skill vc-scenariogit 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-scenario)<a href="https://agentmods.dev/skills/withkynam/vibecode-pro-max-kit/vc-scenario"><img src="https://agentmods.dev/badge/skills/withkynam/vibecode-pro-max-kit/vc-scenario.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 | $0.00030 | $0.01695 |
| Opus 5 | $0.00015 | $0.00847 |
| Sonnet 5 | $0.00006 | $0.00339 |
| Haiku 4.5 | $0.00003 | $0.00169 |
Grade A, and why
vc-scenario 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
vc-scenario — Edge Case & Scenario Explorer
Output style: Follow
process/development-protocols/communication-standards.md— answer-first, plain language, no unexplained jargon, TL;DR on long responses.
Decompose any feature or code path across 12 dimensions to surface edge cases, risks, and test targets before implementation begins.
Mode Selection
Choose a mode before generating scenarios. Default is Simple unless a trigger condition applies.
Simple Mode (default)
Generates edge cases from the plan description, checklist item, or approach text provided in the prompt. No subagent spawned.
Use when:
- The checklist item is self-contained and clearly described
- Blast radius is narrow (1–2 files, single package)
- No auth, billing, schema, or external API surface is touched
- Speed matters and hypothetical coverage is sufficient
Deep Mode
Spawns a research subagent to read the actual source before generating scenarios. Scenarios reference real variable names, real function signatures, and real failure modes visible in the code rather than hypothetical ones.
Trigger conditions (any one):
- Checklist item modifies an auth, billing, schema, or external API surface
- Blast radius spans 3+ files or 2+ packages
- The plan marks the item as
HIGH_RISK - Caller explicitly requests deep mode
Deep mode subagent steps:
- Reads the actual source files being modified (from plan Touchpoints)
- Locates and reads existing test files for those files (via grep for import paths or describe blocks)
- Reads any Public Contracts affected (from plan's Public Contracts section)
- Returns: real function signatures, actual data shapes, existing test coverage gaps, real failure modes visible in the code
The orchestrator then generates scenarios using the research output.
Output quality difference
| Mode | Example scenario |
|---|---|
| Simple | "What if the input is null?" |
| Deep | "What if creditBalance.available is 0 but creditBalance.pending is positive — does deductCredits(amount) check available-only or available + pending?" |
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 · 181 lines · 30 tokens per session scan A d29883c968a3
vc-scenario is a skill published in the GitHub repository withkynam/vibecode-pro-max-kit (1,114 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 1,695 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'…
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.
manage-schemas
Creates, views, edits, deletes, and validates note schemas for the MCP Task Orchestrator in .taskorchestrator/config.yaml — the templates that define which notes agents must fill at each workflow phase. Also recommends schema designs from a library of workflow patterns (autonomous coding loops, spec-driven teams…
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…