A packaging tool for sending a monorepo—a repository containing multiple related apps or libraries—to a chat-based model for code review. It splits the project into smaller zip files and removes dependencies, build output, binary files, and secrets.

Use it to prepare review bundles for a model such as GPT Pro. It can organize workspace packages, database migrations, documentation, or a single-package project.

A whole repository may be too large or cluttered for a model that has no shell and limited file-upload context. Smaller bundles make the code easier to inspect.

gptpro — Skill for Claude Code and Codex by avenoxai/avenoxskills

Install

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.

Any agent

npx skills add avenoxai/avenoxskills --skill gptpro

Clone the repo

git clone --depth 1 https://github.com/avenoxai/avenoxskills

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/avenoxai/avenoxskills/gptpro/github.svg)](https://agentmods.dev/skills/avenoxai/avenoxskills/gptpro)

Your own site

<a href="https://agentmods.dev/skills/avenoxai/avenoxskills/gptpro"><img src="https://agentmods.dev/badge/skills/avenoxai/avenoxskills/gptpro/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/avenoxai/avenoxskills/gptpro"><img src="https://agentmods.dev/badge/skills/avenoxai/avenoxskills/gptpro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,273 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.

Model	Per session	Once invoked
Fable 5.1	$0.00102	$0.01273
Opus 5.5	$0.00041	$0.00509
Sonnet 5.5	$0.00020	$0.00255
Haiku 4.5	$0.00010	$0.00127

Measured 2mo ago against content hash 734e00697097, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gptpro 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 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/export.sh), 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.

skills/gptpro/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GPTPro Export

Package a monorepo into clean, logically-split zip bundles for review by a powerful non-agentic model — GPT Pro on the ChatGPT web UI, or any chat model you upload files to.

That model has no shell, no live filesystem, and a bounded context. So we split by subsystem and strip node_modules, build output, binary assets, and secrets — giving it something it can actually navigate instead of a 400MB tarball it will choke on.

Run it with no config

PROJECT_ROOT=/path/to/repo ./scripts/export.sh

With no bundles.conf, the script autodetects: one bundle per workspace package (apps/*, packages/*, services/*, libs/*), a schema-only db bundle from whatever migrations directory exists, and a docs bundle. A single-package repo gets one src bundle instead of the workspace walk.

That gets you a usable split on the first run. A hand-written config gets you a good one — the model navigates by asking "which bundle would this live in", so a split that matches your architecture is worth writing.

Configure

Bundles are defined in bundles.conf, which overrides autodetect entirely. Copy the example and edit:

cp bundles.example.conf bundles.conf

Each line declares one bundle:

define_bundle <name> "<description>" <source>...

Sources are dir:<path> or file:<path>[:<subdir>], relative to the repo root:

define_bundle core "domain logic — the most important bundle for architecture review" \
  dir:packages/core

define_bundle db "schema architecture only — no rows, no seed data" \
  dir:supabase/migrations \
  file:supabase/config.toml:supabase \
  file:docs/DB_PLAN.md

define_bundle docs "architecture and convention context" \
  dir:docs dir:adrs file:README.md file:AGENTS.md

Run

./scripts/export.sh

Overrides:

PROJECT_ROOT=/path/to/repo \
OUTPUT_DIR=~/Desktop/review-bundles \
BUNDLE_PREFIX=myproject \
./scripts/export.sh

Variable	Default	Meaning
`PROJECT_ROOT`	`$PWD`	repo to export
`OUTPUT_DIR`	`./gptpro-bundles`	where zips land (upload folder)
`BUNDLE_PREFIX`	repo dir name	zip name prefix → `<prefix>-core.zip`
`BUNDLES_CONF`	`bundles.conf` next to the script	bundle definitions; autodetect if absent
`ALLOW_SECRETS`	`0`	`1` continues past a hard secret-scan hit

Read the full file on GitHub · 127 lines

Files

What ships with it

2 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.

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.

2mo ago First seen · 127 lines · 102 tokens per session scan A 734e00697097

Subscribe to this mod's changes

gptpro is a skill published in the GitHub repository avenoxai/avenoxskills (112 stars, last pushed 19d ago), licensed MIT. It adds 102 tokens to every session and 1,273 once invoked, about $0.0004 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.

Claude Code Code review agent-skills ai-agents claude codex llm-tools

gptpro next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
gptproavenoxai/avenoxskills	Skill	112	19d ago	MIT	A	102	Claude Code, Codex
impl-validatorAr9av/obsidian-wiki	Skill	3.7k	yesterday	MIT	A	38	Claude Code
codeqlwaybarrios/opencode-power-pack	Skill	551	4d ago	MIT	A	42	Claude Code
hf-cloud-sagemaker-production-defaultswaybarrios/opencode-power-pack	Skill	551	4d ago	MIT	A	48	Claude Code
sarif-parsingwaybarrios/opencode-power-pack	Skill	551	4d ago	MIT	A	91	Claude Code
security-reviewwaybarrios/opencode-power-pack	Skill	551	4d ago	MIT	A	64	Claude Code
code-reviewwaybarrios/opencode-power-pack	Skill	551	4d ago	MIT	A	59	Claude Code, Codex