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.
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.
curl -O https://raw.githubusercontent.com/withkynam/vibecode-pro-max-kit/main/.claude/skills/vc-intent-clarify/SKILL.mdgit 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-intent-clarify)<a href="https://agentmods.dev/skills/withkynam/vibecode-pro-max-kit/vc-intent-clarify"><img src="https://agentmods.dev/badge/skills/withkynam/vibecode-pro-max-kit/vc-intent-clarify/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.
<a href="https://agentmods.dev/skills/withkynam/vibecode-pro-max-kit/vc-intent-clarify"><img src="https://agentmods.dev/badge/skills/withkynam/vibecode-pro-max-kit/vc-intent-clarify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00042 | $0.05907 |
| Opus 5.5 | $0.00017 | $0.02363 |
| Sonnet 5.5 | $0.00008 | $0.01181 |
| Haiku 4.5 | $0.00004 | $0.00591 |
Grade A, and why
vc-intent-clarify 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.
How it starts
The opening of the file, as written. The whole thing — 610 lines — stays where its author put it; the contents beside it link to each section on GitHub.
vc-intent-clarify
Output style: lead each question with the recommended option; plain language, no filler —
process/development-protocols/communication-standards.md.
Two-mode intent clarification: SIMPLE (direct, 3-5 reads) and DEEP (research subagent first, then questions).
Scores a user request's ambiguity and — when Tier 2 triggers — produces a structured, multi-dimension clarification suite with option-rich questions rather than open-ended prompts. Uses vc-scenario, vc-predict, and vc-sequential-thinking style reasoning to generate questions, not just to answer them.
This is the highest-leverage skill in the system. Poor intent clarification wastes entire phase programs. Invest in the question generation step.
When To Invoke
At ORCHESTRATOR before every routing decision for new user requests. Check auto-skip conditions first. If none apply, score the four signals and act on the resulting tier.
Auto-Skip Conditions
These conditions force Tier 0 regardless of the ambiguity score. Check these FIRST.
- Continuation phrases — "go", "continue", "proceed", "just do it", or similar standalone instruction
- Mid-phase-program execution — active phase plan is selected and approved, user is advancing
- Trivial fix — single-file, under 15 lines, no schema/API/auth changes
- Explicit mode command — "ENTER EXECUTE MODE", "ENTER RESEARCH MODE", etc.
- Resuming active plan — an existing active plan is identified and confirmed
- Pure information question — "What is X?", "How does Y work?" mapping to a single obvious routing target
When an auto-skip condition matches, produce only a 1-sentence restatement of intent and route immediately per the existing routing protocol. Do not announce the tier. Do not surface any questions.
Priority ordering when multiple conditions match simultaneously:
- Explicit mode command (highest priority)
- /goal mid-program execution
- Continuation phrase
- Trivial fix / active-plan resume (lowest priority)
- Pure information question / resuming active plan (lowest priority — treated as Tier 0, auto-route to vc-research-agent or answer directly)
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.
- 1mo ago First seen · 610 lines · 42 tokens per session scan A 3ffff3950fb3
vc-intent-clarify is a skill published in the GitHub repository withkynam/vibecode-pro-max-kit (1,155 stars, last pushed 4mo ago), licensed MIT. It adds 42 tokens to every session and 5,907 once invoked, about $0.0002 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.
Other skills, from other repositories
new-skill
Scaffold a new custom SKILL.md file interactively. Use when asked to create a new skill or slash command.
gh-issue
Create, view, list, or comment on GitHub issues. Use when asked to file, open, or manage GitHub issues.
gh-pr
Create, review, or manage GitHub pull requests. Use when asked to open, check, or merge a PR.
branch
Create or switch to a feature branch, typically tied to a GitHub issue. Use when asked to create a branch or start work on an issue.
changelog
Generate a changelog or release notes from recent git history. Use when asked to write a changelog, summarize recent commits, or produce release notes.
lint
Run the linter, auto-fix what's fixable, and report the rest. Use when asked to lint or fix lint errors.