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.
git clone --depth 1 https://github.com/Wangnov/gpt-image-2-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/plugins/wangnov/gpt-image-2-skill/gpt-image-2-skill)<a href="https://agentmods.dev/plugins/wangnov/gpt-image-2-skill/gpt-image-2-skill"><img src="https://agentmods.dev/badge/plugins/wangnov/gpt-image-2-skill/gpt-image-2-skill/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/plugins/wangnov/gpt-image-2-skill/gpt-image-2-skill"><img src="https://agentmods.dev/badge/plugins/wangnov/gpt-image-2-skill/gpt-image-2-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
gpt-image-2-skill 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 1mo 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.
What it actually says
{
"name": "gpt-image-2-skill",
"version": "0.7.6",
"description": "GPT Image 2 CLI as a Claude Code skill: OpenAI gpt-image-2 + Codex image_generation under one command surface, with masks, transparent backgrounds, custom sizes up to 4K, and structured JSON / JSONL progress output.",
"author": {
"name": "wangnov",
"url": "https://github.com/Wangnov"
},
"homepage": "https://github.com/Wangnov/gpt-image-2-skill",
"repository": "https://github.com/Wangnov/gpt-image-2-skill",
"license": "MIT",
"keywords": [
"image-generation",
"openai",
"codex",
"gpt-image-2",
"skill"
],
"skills": [
"./skills/gpt-image-2-skill"
]
}
What it installs
The manifest is a name and a version. 1 skill travel with it, and installing the plugin installs all of them — 195 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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.
- 1mo ago Changed 18ad42fc3861
- 1mo ago Changed 3781c1ef8cd9
- 2mo ago First seen · 23 lines scan A 3aa2ac20e8c1
gpt-image-2-skill is a plugin published in the GitHub repository Wangnov/gpt-image-2-skill (147 stars, last pushed 5d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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.
gpt-image-2-skill compared with plugins from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| gpt-image-2-skillWangnov/gpt-image-2-skill | Plugin | 147 | 5d ago | MIT | A | — | Claude Code |
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| ai-news-hqOneWave-AI/open-agent-stack | Plugin | 5 | 2mo ago | MIT | A | — | Claude Code |
| pict-test-designereric861129/SKILLS_All-in-one | Plugin | 52 | 6mo ago | MIT | A | — | Claude Code |
| prismRonkupper/PRISM | Plugin | 5 | 4mo ago | MIT | A | — | Claude Code |