vibecode-pro-max-kit: Skill for Claude Code

.claude/skills/vc-autoresearch/SKILL.md

vc-autoresearch is a skill for Claude Code from withkynam/vibecode-pro-max-kit. It costs 40 tokens per session (3,827 once invoked), scanned A, original, MIT.

A repeatable quality loop that finds gaps, records them, applies fixes, and checks the result again.

In plain words
What is it for?
Use it to harden specifications and documentation, fix lint errors, improve test coverage, or support plan and execution validation cycles.
Why use it?
It helps continue improving code, specifications, documentation, or tests until the identified problems are addressed.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: reads .claude/ paths; mentions subagents.

This is withkynam/vibecode-pro-max-kit's own configuration. It tells Claude Code how to work on vibecode-pro-max-kit itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything vibecode-pro-max-kit configures →

About the project

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.

withkynam/vibecode-pro-max-kit · 1,118 stars · on GitHub

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/withkynam/vibecode-pro-max-kit/main/.claude/skills/vc-autoresearch/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/withkynam/vibecode-pro-max-kit

Made for: Claude Code.

Wrote 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.

agentmods badge for vc-autoresearch

README.md
[![agentmods](https://agentmods.dev/badge/skills/withkynam/vibecode-pro-max-kit/vc-autoresearch.svg)](https://agentmods.dev/skills/withkynam/vibecode-pro-max-kit/vc-autoresearch)
Your own site
<a href="https://agentmods.dev/skills/withkynam/vibecode-pro-max-kit/vc-autoresearch"><img src="https://agentmods.dev/badge/skills/withkynam/vibecode-pro-max-kit/vc-autoresearch.svg" alt="Measured on agentmods" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,827 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.03827
Opus 5 $0.00020 $0.01913
Sonnet 5 $0.00008 $0.00765
Haiku 4.5 $0.00004 $0.00383

Measured 8d ago against content hash 4dfe635aca84, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

vc-autoresearch 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 8d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate-autoresearch-log.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.claude/skills/vc-autoresearch/SKILL.md · 278 lines

How it starts

The opening of the file, as written. The whole thing — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.

vc-autoresearch

Output style: Follow process/development-protocols/communication-standards.md — answer-first, plain language, no unexplained jargon, TL;DR on long responses.

Reusable loop primitive. Runs: find gaps → write report → fix → check → repeat.

Used directly for spec/doc/UX hardening. Wired into PVL (plan-validate-fix loop — the fix cycle between writing a plan and approving EXECUTE) and EVL (execute-validate-fix loop — the confirmation run after EXECUTE) as the shared bookkeeping layer.


When To Invoke

  • Standalone: user says "harden this spec", "fix all lint errors", "improve test coverage"
  • PVL: the ORCHESTRATOR invokes it when vc-validate-agent returns a first-pass CONDITIONAL/BLOCKED verdict (validate-fix loops are needed)
  • EVL: the ORCHESTRATOR invokes it at the EVL confirmation run — unconditionally after every EXECUTE DONE, before UPDATE PROCESS

Do NOT invoke during RESEARCH or INNOVATE phases.

Who Runs This (Loop Driver)

The ORCHESTRATOR is the loop driver. It executes every bookkeeping step itself:

  • Step 0 setup — creates the task folder and the results.tsv tracking file.
  • Cycle counter + per-cycle iteration report — writes one report file per loop iteration.
  • TSV row — appends a row to results.tsv after each cycle.
  • Plateau/cap/regression checks — stops the loop when no progress is made for 3 cycles (HALT_PLATEAU — no improvement after 3 tries), when the hard 10-cycle limit is hit (HALT_CAP), or when a test that was passing now fails (HALT_REGRESSION).

Subagents (vc-validate-agent, vc-tester, vc-plan-agent, vc-execute-agent) are fire-and-forget: they emit a verdict and terminate. They cannot invoke this skill on the orchestrator's behalf, cannot loop themselves, and cannot spawn each other.

If no one runs Step 0, the loop never exists and verdicts silently become "proceed" — that failure mode is exactly what this section forbids.

Per-verdict routing tables: process/development-protocols/orchestration.md §PVL/EVL Loop Routing.

Read the full file on GitHub · 278 lines

Changes

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.

  1. 8d ago First seen · 278 lines · 40 tokens per session scan A 4dfe635aca84

Subscribe to this mod's changes

vc-autoresearch is a skill published in the GitHub repository withkynam/vibecode-pro-max-kit (1,118 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 3,827 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.