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/notque/vexjoy-agent/codexnpx skills add notque/vexjoy-agent --skill codexgit clone --depth 1 https://github.com/notque/vexjoy-agentWrote 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/notque/vexjoy-agent/codex)<a href="https://agentmods.dev/skills/notque/vexjoy-agent/codex"><img src="https://agentmods.dev/badge/skills/notque/vexjoy-agent/codex.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 | $0.00018 | $0.01978 |
| Opus 5 | $0.00009 | $0.00989 |
| Sonnet 5 | $0.00004 | $0.00396 |
| Haiku 4.5 | $0.00002 | $0.00198 |
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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex — the GPT-5.6 Execution Lane
Run a benchmark-selected GPT-5.6 task through the Codex CLI (codex exec) and return the result. This is the OpenAI execution lane — the general-purpose lane for work the model-selection policy sends to GPT-5.6, and the canonical owner of general codex exec mechanics — when the CLI changes, update here first. GPT selections are reachable only through this CLI; the Agent tool's model parameter covers Claude models only.
Under Claude Code, this skill runs only on explicit invocation or cross-provider escalation, never as the automatic default. The harness-native model lane under Claude Code is the Anthropic lane (Opus 5). This skill is a deliberate cross-provider tool — codex review as a second-opinion, codex exec for a GPT-specific constraint — not a routing default.
Two flows keep their own specialized codex integration — route to them instead of re-implementing here:
| Existing flow | Owns | Where |
|---|---|---|
| PR / code review via codex | codex exec review, finding triage, report synthesis |
skills/process/pr-workflow/references/codex-review.md |
| Sprite/image generation backend | codex image backend selection and invocation | skills/game/game-sprite-pipeline/references/backend-chain.md |
Phase 1: DECIDE — does this task belong on GPT-5.6?
Policy mirror — canonical copy: /do SKILL.md, Model Selection (edit there first, then here). Rankings, higher = better; cost = avg USD per task, written as a plain number (slash-command templating corrupts dollar-digit sequences in injected skill bodies), what the owner actually pays.
| Task class | Model / effort | DeepSWE Pass@1 / cost / output tokens / steps |
|---|---|---|
| Low-risk assistance | gpt-5.6-terra / high |
54 / 1.13 / 22k / 34 |
| Standard implementation | gpt-5.6-sol / high |
69 / 3.47 / 28k / 37 |
| High-risk implementation or review | gpt-5.6-sol / xhigh |
71 / 4.70 / 41k / 44 |
| Exceptional explicit escalation | gpt-5.6-sol / max |
73 / 8.39 / 60k / 61 |
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 · 125 lines · 18 tokens per session scan A 7fc1b696b3fe
codex is a skill published in the GitHub repository notque/vexjoy-agent (420 stars, last pushed today), licensed MIT. It adds 18 tokens to every session and 1,978 once invoked, about $0.0001 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 2026-09-03.
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