codex-chatgpt-bridge: A safe bridge for Codex and ChatGPT to hand off coding work, save tokens, and keep local execution under

by Zhenyu98 · MCP Server · ★ 282

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install codex-chatgpt-bridge

git clone https://github.com/Zhenyu98/codex-chatgpt-bridge.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 72/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentic-workflowai-agentschatgptcodex-skillmcp-servermulti-agenttoken-saving

Quick Facts

Stars282
Forks34
LanguagePowerShell
CategoryMCP Server
LicenseMIT
Quality Score72/100
Open Issues2
Last Updated2026-07-30
Created2026-06-22
Platformscodex, mcp
Est. Tokens~13k

About codex-chatgpt-bridge

Codex ChatGPT Bridge A safe bridge that lets Codex and ChatGPT hand off coding work — ChatGPT does the heavy thinking, Codex keeps local execution and verification under control. Save Codex tokens · ChatGPT plans, Codex executes · Local execution stays scoped and re-keyable Why · Quick Start · Agent Setup · Routing · Security · FAQ · 简体中文 Why Long Codex sessions burn quota on planning,...

Compatible Skills

These tools work well together with codex-chatgpt-bridge for enhanced workflows:

  • codex_auto_register — semantic(0.28)+complementary+similar_pop+shared_platform (50%)
  • gpt-team-register — semantic(0.27)+complementary+similar_pop+shared_platform (49%)
  • openai-oauth — semantic(0.26)+complementary+similar_pop+shared_platform (49%)
  • qoreon — semantic(0.25)+complementary+similar_pop+shared_platform (49%)
  • codex-profiles — semantic(0.24)+complementary+similar_pop+shared_platform (48%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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