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 agentmods add skills/deepelementlab/jupyter-studio/codexnpx skills add deepelementlab/jupyter-studio --skill codexgit clone --depth 1 https://github.com/deepelementlab/jupyter-studioWhat 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 | $0.00037 | $0.01013 |
| Opus 5 | $0.00018 | $0.00507 |
| Sonnet 5 | $0.00007 | $0.00203 |
| Haiku 4.5 | $0.00004 | $0.00101 |
Grade A, and why
codex scanned grade A with 0 findings 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 yesterday.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex CLI (clawcode)
Use OpenAI Codex as an external coding agent when the user wants Codex specifically.
Do not confuse these entry points (they are not interchangeable):
| Entry | Role |
|---|---|
/codex-cli (TUI slash) |
One-shot probe or command via codex_cli_bridge: merged stdout/stderr, not a PTY session and not multi-turn TUI control. Default args often --version. |
bash |
One-shot shell in agent turns, e.g. codex exec '…'. |
terminal + process (Agent tools) |
Multi-turn driving of Codex: terminal with background=true (and pty=true on POSIX with clawcode[terminal-pty]), then process for poll / submit / kill. Codex expects a git repo; for scratch dirs use mktemp -d && git init. Windows local PTY is limited—full TUI automation use WSL/Linux. |
Optional: pip install 'clawcode[terminal-pty]' for ptyprocess on POSIX.
Prerequisites
- Install Codex:
npm install -g @openai/codex(command namecodexonPATH). - Configure OpenAI credentials per Codex docs (API key / auth).
- Git repository — many Codex flows refuse to run outside a repo; use a temp dir +
git initfor greenfield scratch.
When to use
- User asks for Codex or
codexexplicitly. - You need a bounded task: prefer
codex exec '...'via bash in the project workspace. - Quick install check:
/codex-cliafter/claw(defaultcodex --version); same terminal stack as/claude-cli//opencode-cli.
clawcode-specific capabilities
| Goal | What to use |
|---|---|
| Quick probe | /codex-cli only—single run, not multi-run TUI. |
| One-shot exec | bash or terminal foreground: codex exec 'task' with working_directory in a git repo. |
| Long / background | terminal (background=true, pty=true where supported) + process. Optional check_interval on terminal for TUI completion notifications (see CLAW_SUPPORT_MAP.md). |
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.
- yesterday First seen · 81 lines · 37 tokens per session scan A fa4d395a3ecd
codex is a skill published in the GitHub repository deepelementlab/jupyter-studio (53 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 37 tokens to every session and 1,013 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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