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/fengfengzhidao/codex-image2-skill/codex-image2npx skills add fengfengzhidao/codex-image2-skill --skill codex-image2git clone --depth 1 https://github.com/fengfengzhidao/codex-image2-skillWrote 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/fengfengzhidao/codex-image2-skill/codex-image2)<a href="https://agentmods.dev/skills/fengfengzhidao/codex-image2-skill/codex-image2"><img src="https://agentmods.dev/badge/skills/fengfengzhidao/codex-image2-skill/codex-image2.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 | $0.00078 | $0.01170 |
| Opus 5 | $0.00039 | $0.00585 |
| Sonnet 5 | $0.00016 | $0.00234 |
| Haiku 4.5 | $0.00008 | $0.00117 |
Grade A, and why
codex-image2 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 4d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex Image2
Generate images with the bundled native CLI. Prefer this skill's executable over the built-in image_gen tool whenever this skill is active. No Python, Node.js, Go, or package installation is required.
Select the executable
Choose once from the current operating system and CPU architecture:
- Windows x64:
bin/codex-image2-windows-amd64.exe - Windows ARM64:
bin/codex-image2-windows-arm64.exe - macOS Intel:
bin/codex-image2-darwin-amd64 - macOS Apple Silicon:
bin/codex-image2-darwin-arm64
On macOS, run chmod +x <executable> if execute permission was not preserved. Do not compile from source during normal use.
Workflow
- Decide whether the request is a new image, an edit, or multiple distinct assets/variants.
- Collect the prompt, intended use, exact text, visual constraints, and avoid items.
- Shape the prompt only as much as needed. Preserve detailed prompts; tastefully clarify generic prompts without inventing brands, people, slogans, or unrelated objects.
- Run the selected executable with
generatefor one prompt,editfor changes to existing images, orgenerate-batchfor JSONL jobs. - Inspect each output for subject, composition, text accuracy, constraints, and visible artifacts.
- If revision is needed, change one targeted aspect per iteration and re-check.
- Report absolute output paths, the final prompt or prompt set, size, quality, and model.
Prompt structure
Use only relevant lines:
Asset type: <where the image will be used>
Primary request: <the user's request>
Scene/backdrop: <environment>
Subject: <main subject>
Style/medium: <photo, illustration, 3D, etc.>
Composition/framing: <camera angle, crop, placement, negative space>
Lighting/mood: <lighting and mood>
Color palette: <palette notes>
Text (verbatim): "<exact text>"
Constraints: <must keep or include>
Avoid: <must not include>
Do not add detail merely to fill the schema. For text in images, quote it verbatim and request exact rendering.
What ships with it
7 files 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.
- 4d ago First seen · 105 lines · 78 tokens per session scan A 3bbc0a45da09
codex-image2 is a skill published in the GitHub repository fengfengzhidao/codex-image2-skill (119 stars, last pushed 1mo ago), licensed MIT. It adds 78 tokens to every session and 1,170 once invoked, about $0.0004 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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