# XiaoDuoYa/codex-with-chatgpt > A bridge between the ChatGPT web app and the Codex coding agent: ChatGPT plans and reviews over an OAuth-protected read-only MCP connection while Codex executes. Uses your paid ChatGPT subscription instead of API tokens, without uploading the repository. - Magnitude: 1.6 out of 10 — Steady - Stars: 7,589 total · +4 stars measured 2026-10-29, 00:10–05:47 UTC, ≈ 16 by evening - Star trust: star growth looks organic - Category: AI agents · Language: TypeScript · License: MIT · Created: 2026-08-28 · Last push: 2026-10-01 - GitHub: https://github.com/XiaoDuoYa/codex-with-chatgpt · Page: https://gitnova.dev/en/r/XiaoDuoYa/codex-with-chatgpt ## Useful for - Set up Codex task planning through web ChatGPT without an API key - Run code review by an agent that reads only needed workspace lines - Install the Skill with one prompt for a non-technical user ## Why it’s here - Star-counter measurements on 2026-10-29 (UTC), 00:10–05:47: 7585 → 7589 stars (+4). This is the change over that interval. - Estimated end-of-day forecast: about +16 stars, using observed gains and the previous day. - Top new repositories in the last 4 months: #88. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 700 - Issues and pull requests: 142 - Watchers: 13 - Average over the last week: 16 per day - Usual pace: 37 per day - Stars in the last hour (measured): 1 - Latest release: v0.1.4 (2026-10-01) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-30 … 2026-10-29: 30, 30, 21, 31, 21, 28, 27, 36, 32, 45, 49, 47, 41, 46, 27, 22, 30, 17, 16, 18, 15, 9, 23, 14, 13, 26, 15, 12, 15, 4 ## Magnitude by day, last 14 days 10-16 2.1, 10-17 2.1, 10-18 1.8, 10-19 1.8, 10-20 1.9, 10-21 1.4, 10-22 1.4, 10-23 1.9, 10-24 1.7, 10-25 1.9, 10-26 1.9, 10-27 1.5, 10-28 1.6, 10-29 1.6 ## Spotted in now - Top new repositories in the last 4 months: #88 ## More in this category 1. **HKUDS/DeepTutor** — 8.8 · Breakout · AI agents · Python · +521 stars measured 2026-10-29, 00:02–05:41 UTC, ≈ 1,996 by evening A lifelong personalized AI tutor with long-term memory: builds learning paths, reads documents and books, and runs practice and assessments via a multi-agent system and RAG. Full card: https://gitnova.dev/en/r/HKUDS/DeepTutor.md 2. **elayadesign/ai-design-skills** — 7.9 · Breakout · AI agents · +284 stars measured 2026-10-29, 00:02–05:41 UTC, ≈ 1,293 by evening A collection of markdown-based design skills for AI coding tools like Claude Code, Cursor, Codex and Windsurf, covering landing page design and turning static designs into animated showcases. Full card: https://gitnova.dev/en/r/elayadesign/ai-design-skills.md 3. **pbakaus/impeccable** — 7.7 · Breakout · AI agents · Rust · +704 stars measured 2026-10-29, 00:02–05:41 UTC, ≈ 2,588 by evening A set of commands and detector rules for AI coding agents that helps them produce better frontend design instead of generic templates. Installs as a skill into Claude Code, Cursor, Codex and other harnesses. Full card: https://gitnova.dev/en/r/pbakaus/impeccable.md 4. **anonnerdfrenzy/survival-llm** — 7.7 · Early signal · AI agents · Python · +60 stars measured 2026-10-29, 00:02–05:41 UTC, ≈ 350 by evening A local offline LLM assistant with a library of ~1.5M survival, medical and how-to articles; every answer cites the exact source passage. Full card: https://gitnova.dev/en/r/anonnerdfrenzy/survival-llm.md 5. **unclebob/ub-mode** — 7.6 · Breakout · AI agents · +236 stars measured 2026-10-29, 00:02–05:41 UTC, ≈ 1,087 by evening An agent skill that enforces disciplined software engineering practices when writing or changing code: TDD, root-cause fixes, behavior testing, and quality gates via mutation testing. Installed as SKILL.md into the agent's skills directory. Full card: https://gitnova.dev/en/r/unclebob/ub-mode.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-29 05:52 UTC, updated every 30 minutes.