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.
npx skills add joonlab/joonlab-claudecode-setting-for-share --skill codex-with-claudecodegit clone --depth 1 https://github.com/joonlab/joonlab-claudecode-setting-for-shareWrote 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.
[](https://agentmods.dev/skills/joonlab/joonlab-claudecode-setting-for-share/codex-with-claudecode)<a href="https://agentmods.dev/skills/joonlab/joonlab-claudecode-setting-for-share/codex-with-claudecode"><img src="https://agentmods.dev/badge/skills/joonlab/joonlab-claudecode-setting-for-share/codex-with-claudecode.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00120 | $0.01352 |
| Opus 5 | $0.00060 | $0.00676 |
| Sonnet 5 | $0.00024 | $0.00270 |
| Haiku 4.5 | $0.00012 | $0.00135 |
Grade B, and why
codex-with-claudecode scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
SESSION_FILE=$(find ~/.codex/sessions -name "*<session-id>*.jsonl" | head -1) How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex with Claude Code
Execute OpenAI Codex/ChatGPT CLI queries directly from Claude Code environment, with full session management and resume capabilities.
Quick Start
Simple Query
codex exec --skip-git-repo-check "질문 내용"
Resume Previous Session (within Claude Code)
codex exec --skip-git-repo-check resume "<session-id>" "후속 질문"
Execution Workflow
Step 1: Execute Query
To run a Codex query, always use exec mode with the git repo bypass flag:
codex exec --skip-git-repo-check "질문 내용"
Required flags:
exec: Non-interactive mode (Claude Code Bash is non-interactive)--skip-git-repo-check: Required when running outside git repositories
Step 2: Capture Session ID
The output includes a session ID. Always report this ID to the user:
session id: 019b6da3-5947-77c1-b50e-84c2a39eeb7e
Step 3: Convert Session for Terminal Access
Exec sessions do not appear in terminal resume list by default. To enable terminal access, run the conversion:
# Using the skill's conversion script
scripts/convert_exec_session.sh "<session-id>" "질문 요약"
Or manually:
SESSION_FILE=$(find ~/.codex/sessions -name "*<session-id>*.jsonl" | head -1)
sed -i '' 's/codex_exec/codex_cli_rs/g' "$SESSION_FILE"
sed -i '' 's/"source":"exec"/"source":"cli"/g' "$SESSION_FILE"
Step 4: Provide Terminal Resume Command
After execution and conversion, always provide the user with the exact terminal command to continue the conversation:
cd <Claude Code 프로젝트 경로> && codex resume <session-id>
Example output to user:
Codex 실행 완료!
세션 ID: 019b6e30-1cdc-7391-85de-50c1b2efbcfa
터미널에서 이 대화를 이어가려면:
cd ~/my-project && codex resume 019b6e30-1cdc-7391-85de-50c1b2efbcfa
Complete Workflow Example
When user asks "Codex한테 한국에 대해 글 써달라고 해봐":
# 1. Execute query
codex exec --skip-git-repo-check "한국에 대해 짧은 글을 작성해줘"
# Output: session id: 019b6e30-1cdc-7391-85de-50c1b2efbcfa
# 2. Convert session for terminal access
scripts/convert_exec_session.sh "019b6e30-1cdc-7391-85de-50c1b2efbcfa" "한국에 대한 글 작성"
What ships with it
1 file 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.
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.
- 8d ago First seen · 168 lines · 120 tokens per session scan B dfc537c82b60
codex-with-claudecode is a skill published in the GitHub repository joonlab/joonlab-claudecode-setting-for-share (10 stars, last pushed 1mo ago), licensed MIT. It adds 120 tokens to every session and 1,352 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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