codex-collab: Collaborate with Codex from Claude Code

by Kevin7Qi · Claude Skill · ★ 99

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

How to install codex-collab

git clone https://github.com/Kevin7Qi/codex-collab.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 70/100

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.

claudeclaude-codeclaude-skillscodexskill

Quick Facts

Stars99
Forks8
LanguageTypeScript
CategoryClaude Skill
LicenseMIT
Quality Score70/100
Open Issues6
Last Updated2026-10-18
Created2026-02-09
Platformsclaude-code, codex, node
Est. Tokens~15k

About codex-collab

codex-collab English | 中文 Collaborate with Codex from Claude Code. Run tasks, get code reviews, do parallel research, all without leaving your Claude session. codex-collab is a Claude Code skill that drives Codex through its app server JSON-RPC protocol.

Compatible Skills

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

  • Claude-Zeroclaw — semantic(0.38)+complementary+same_lang+similar_pop+shared_platform (63%)
  • loop — semantic(0.48)+complementary+same_lang+similar_pop+shared_platform (62%)
  • linear-claude-skill — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)

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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:

View on GitHub → Browse Claude Skill tools