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/sateezg/codex-bridge/codex-delegatenpx skills add Sateezg/codex-bridge --skill codex-delegategit clone --depth 1 https://github.com/Sateezg/codex-bridgeWhat 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 | $0.00108 | $0.01076 |
| Opus 5 | $0.00054 | $0.00538 |
| Sonnet 5 | $0.00022 | $0.00215 |
| Haiku 4.5 | $0.00011 | $0.00108 |
Grade A, and why
codex-delegate 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 3d 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.
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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Delegate to Codex when it saves the user tokens
The Codex CLI on this machine runs on the user's ChatGPT plan quota — a separate budget from this Claude session. Work pushed to Codex costs no Claude output tokens and, more importantly, keeps large intermediate output (file dumps, generated boilerplate, long search results) out of this context window.
Your job is to notice when that trade is worth making, offer it, and then orchestrate.
The decision rubric
Delegate to Codex when the task is high-volume and low-judgment:
| Signal | Example |
|---|---|
| Mechanical edits across many files | rename a symbol in 40 files, migrate an import style, add a header to every module |
| Bulk generation | scaffold 20 CRUD endpoints, write fixtures, generate a large seed dataset |
| Exhaustive sweeps | "find every place we call the old API", audit all routes for auth |
| Assets | any image, icon set, mockup, or diagram — always Codex, it has gpt-image-2 |
| Long, self-contained subtasks | port a module to TypeScript, write the test suite for one file |
| A genuinely independent opinion | you already have an answer and want it challenged |
Keep it yourself when the task is low-volume and high-judgment: architecture calls, ambiguous requirements, anything needing the conversation history, small edits (under ~3 files), or anything the user is iterating on interactively. Round-tripping a two-line fix through Codex is slower and costs more overall.
How to offer it
When the rubric says delegate, say so in one or two sentences before starting, and be concrete about the split. Don't ask a vague "should I use Codex?" — the user can't judge that. Tell them what each side does and what it saves:
This touches ~35 files with the same mechanical change. I can hand the edits to Codex — it runs on your ChatGPT quota and keeps 35 file dumps out of this context — then review its diff here. Want me to?
If the user has already said "use Codex" or "save tokens", skip the question and just do it. If the task is small, don't offer at all — the offer itself is noise.
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.
- 3d ago First seen · 79 lines · 108 tokens per session scan A 24cb866230be
codex-delegate is a skill published in the GitHub repository Sateezg/codex-bridge (252 stars, last pushed 23d ago), licensed MIT. It adds 108 tokens to every session and 1,076 once invoked, about $0.0005 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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