# Codex for Open Source — submission pack Application: Program overview: Program terms: Prepared: 2026-07-22 ## Recommendation Submit in **English**, even through the PT-BR form. OpenAI publishes no language requirement and no evidence that language changes selection odds. English is recommended only to reduce translation friction for a global technical review. Submit now. Stars, forks, downloads, repository usage, ecosystem importance, and active maintenance are evaluation signals, not published minimum thresholds. Vibeflow's strongest evidence is its Codex-native engineering and its first real 92-node audit, not early popularity metrics. ## Copy-and-paste form ### First name `Felipe` ### Last name `Domingues` ### Email `[FILL PRIVATELY: email associated with the ChatGPT account]` ### GitHub username `domfelipe` ### GitHub repository URL `https://github.com/domfelipe/vibeflow-n8n` ### Maintainer role Select: **Principal maintainer**. ### Why is this repository eligible? Character count: **420/500**. > Vibeflow is an MIT-licensed safety and contract gate for AI-generated n8n workflows, rebuilt end-to-end with Codex. Its v0.8.0 plugin audited a real 92-node workflow in read-only mode and produced provenance-backed results: 3 blocking AI-safety findings, 57 prioritized warnings, and concrete revalidation gates. It fills a growing n8n need: deterministic pre-production checks for workflows created by people or agents. ### Interests Select both: - **Codex Security** - **API credits for my project** ### OpenAI Organization ID `[FILL PRIVATELY: org-...]` Use the organization that should receive the API credits. Confirm it in the OpenAI Platform before submitting; do not place it in this public document. ### How will API credits be used? Character count: **390/500**. > API credits would power OSS maintenance workflows: turn anonymized failures into adversarial fixtures, evaluate new policies, reproduce false positives, review contributed rules, triage issues, and generate release audits. Codex would assist these workflows; the Vibeflow scanner will remain local, dependency-free, telemetry-free, and will not upload or process private customer workflows. ### Anything else we should know? Character count: **431/500**. > Vibeflow is a public case study in Codex-native OSS development. Codex helped reposition an old prototype, implement the CLI, run repeated Red Team reviews, fix regressions, package a GitHub Action and Codex plugin, open and merge PRs, and publish v0.8.0. Its first production-scale audit exposed workflow risks and analyzer limitations, creating a concrete maintenance backlog. Adoption is early; the engineering evidence is real. ## PT-BR review translation These translations are for review only. Paste the English versions above into the form. ### Repository eligibility > Vibeflow é um gate MIT de segurança e contratos para workflows n8n gerados por IA, reconstruído de ponta a ponta com Codex. O plugin v0.8.0 auditou em modo somente leitura um workflow real de 92 nós e produziu resultados com proveniência: 3 bloqueios de segurança de IA, 57 avisos priorizados e gates concretos de revalidação. Ele atende a uma necessidade crescente do ecossistema n8n: checks determinísticos antes da produção para workflows criados por pessoas ou agentes. ### API-credit use > Os créditos financiariam fluxos de manutenção OSS: transformar falhas anonimizadas em fixtures adversariais, avaliar novas políticas, reproduzir falsos positivos, revisar regras contribuídas, triar issues e gerar auditorias de release. O Codex auxiliaria esses fluxos; o scanner Vibeflow permanecerá local, sem dependências ou telemetria, e não enviará nem processará workflows privados de clientes. ### Additional context > Vibeflow é um estudo de caso público de desenvolvimento open source nativo em Codex. O Codex ajudou a reposicionar um protótipo antigo, implementar a CLI, executar Red Teams repetidos, corrigir regressões, empacotar uma GitHub Action e um plugin Codex, mesclar PRs e publicar a v0.8.0. A primeira auditoria em escala de produção revelou riscos do workflow e limitações do analisador, criando um backlog concreto. A adoção ainda é inicial; a evidência de engenharia é real. ## Evidence map Use these links only if OpenAI requests verification; the form has no dedicated evidence field. - Public MIT repository: - Executable release: - Reproducible demo: - Release and Red Team audit: - CI history: - Launch discussion: - Engineering PRs: ## Evidence snapshot Captured on 2026-07-22: - public repository with MIT license; - `v0.8.0` release; - 26 adversarial tests on Node.js 20, 22, and 24; - dependency-free CLI, GitHub Action, and installable Codex plugin; - 3 maintainer PRs merged with green CI; - 2 stars, 0 forks, and no verified external contributor yet; - first real audit: anonymized 92-node workflow, 3 blocking findings, 57 warnings, no workflow mutation; - Codex used across product repositioning, implementation, review, Red Team, remediation, packaging, CI, release, and real-workflow audit. Do not describe maintainer PRs, the maintainer's own workflow, clones, or unattributed stars as external adoption. ## Confidentiality boundary Do not submit or link the full real-workflow audit. Application materials must not include: - client, clinic, or workflow names; - remote workflow IDs, version IDs, hashes, or timestamps; - node names that reveal business logic; - private workflow JSON, credentials, customer data, or infrastructure identifiers. The approved public description is: **“a real, production-scale 92-node conversational workflow audited in read-only mode.”** ## Submission checklist - [x] Repository is public and not archived. - [x] GitHub username is public. - [x] Role is principal maintainer. - [x] Repository URL is correct. - [x] Both requested benefits are selected. - [x] All narrative answers are under 500 characters. - [x] Real-workflow evidence is anonymized. - [x] Early adoption is described honestly. - [ ] Insert the exact ChatGPT-account email. - [ ] Insert and verify the OpenAI Organization ID. - [ ] Re-read the current Program Terms immediately before submission. - [ ] Save the confirmation page and submission timestamp privately. ## After submission Continue collecting organic evidence without delaying the application: 1. publish the r/n8n post; 2. invite users to report anonymized false positives and missed unsafe cases; 3. respond to every issue or discussion with reproducible evidence; 4. keep releases, CI, and the public maintenance trail current; 5. never request artificial stars, forks, or empty PRs. OpenAI reviews applications continuously. If additional evidence is requested, provide a fresh public snapshot and the anonymized outcome of subsequent real-world audits.