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-docs-seeker/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-docs-seeker)<a href="https://agentmods.dev/skills/withkynam/vibecode-pro-max-kit/vc-docs-seeker"><img src="https://agentmods.dev/badge/skills/withkynam/vibecode-pro-max-kit/vc-docs-seeker/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-docs-seeker"><img src="https://agentmods.dev/badge/skills/withkynam/vibecode-pro-max-kit/vc-docs-seeker.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 | $0.00037 | $0.00980 |
| Opus 5.5 | $0.00015 | $0.00392 |
| Sonnet 5.5 | $0.00007 | $0.00196 |
| Haiku 4.5 | $0.00004 | $0.00098 |
Grade A, and why
vc-docs-seeker 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- vc:docs-seeker — 91% identical, 10 lines differ
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Documentation Discovery
Output style: Follow
process/development-protocols/communication-standards.md— answer-first, plain language, no unexplained jargon, TL;DR on long responses.
Overview
Use Context7 MCP as the default path for documentation lookup. The local scripts in this skill are fallback helpers for llms.txt-based discovery when Context7 does not cover the target cleanly.
Primary Workflow
Default workflow: Context7 first
- Resolve the library with Context7.
- Query the exact API/config/setup question with Context7.
- Only fall back to the scripts below when Context7 coverage is missing, incomplete, or the user explicitly wants llms.txt/repository-oriented discovery.
Fallback script workflow:
# 1. DETECT query type (topic-specific vs general)
node scripts/detect-topic.js "<user query>"
# 2. FETCH documentation using script output
node scripts/fetch-docs.js "<user query>"
# 3. ANALYZE results (if multiple URLs returned)
cat llms.txt | node scripts/analyze-llms-txt.js -
Scripts handle URL construction, fallback chains, and error handling automatically.
Scripts
detect-topic.js - Classify query type
- Identifies topic-specific vs general queries
- Extracts library name + topic keyword
- Returns JSON:
{topic, library, isTopicSpecific} - Zero-token execution
fetch-docs.js - Retrieve documentation
- Constructs context7.com URLs automatically
- Handles fallback: topic → general → error
- Outputs llms.txt content or error message
- Zero-token execution
analyze-llms-txt.js - Process llms.txt
- Categorizes URLs (critical/important/supplementary)
- Recommends agent distribution (1 agent, 3 agents, 7 agents, phased)
- Returns JSON with strategy
- Zero-token execution
Workflow References
Topic-Specific Search - Fastest path (10-15s)
General Library Search - Comprehensive coverage (30-60s)
Repository Analysis - Fallback strategy
What ships with it
16 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.
- .env.example 456 B
- package.json 631 B
- references/advanced.md 1.7 KB
- references/context7-patterns.md 1.5 KB
- references/errors.md 1.2 KB
- scripts/analyze-llms-txt.js 5.1 KB runs code
- scripts/detect-topic.js 4.4 KB runs code
- scripts/fetch-docs.js 4.9 KB runs code
- scripts/tests/run-tests.js 1.5 KB runs code
- scripts/tests/test-analyze-llms.js 3.7 KB runs code
- scripts/tests/test-detect-topic.js 3.9 KB runs code
- scripts/tests/test-fetch-docs.js 2.2 KB runs code
- scripts/utils/env-loader.js 2.4 KB runs code
- workflows/library-search.md 2.7 KB
- workflows/repo-analysis.md 2.2 KB
- workflows/topic-search.md 2.3 KB
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 · 109 lines · 37 tokens per session scan A 0960ac64971c
vc-docs-seeker is a skill published in the GitHub repository withkynam/vibecode-pro-max-kit (1,155 stars, last pushed 4mo ago), licensed MIT. It adds 37 tokens to every session and 980 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.
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