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 skills add prime-skills/runcomfy-agent-skills --skill gpt-image-2git clone --depth 1 https://github.com/prime-skills/runcomfy-agent-skillsWrote 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/prime-skills/runcomfy-agent-skills/gpt-image-2)<a href="https://agentmods.dev/skills/prime-skills/runcomfy-agent-skills/gpt-image-2"><img src="https://agentmods.dev/badge/skills/prime-skills/runcomfy-agent-skills/gpt-image-2/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/skills/prime-skills/runcomfy-agent-skills/gpt-image-2"><img src="https://agentmods.dev/badge/skills/prime-skills/runcomfy-agent-skills/gpt-image-2.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 5.1 | $0.00153 | $0.02748 |
| Opus 5 | $0.00077 | $0.01374 |
| Sonnet 5 | $0.00031 | $0.00550 |
| Haiku 4.5 | $0.00015 | $0.00275 |
Grade A, and why
gpt-image-2 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 12d 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- gpt-image-2 — 100% identical, 0 lines differ
- gpt-image-2 — 100% identical, 0 lines differ
- gpt-image-2 — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GPT Image 2 — Pro Pack on RunComfy
runcomfy.com · Text-to-image · Edit · GitHub
OpenAI GPT Image 2 (ChatGPT Images 2.0) hosted on the RunComfy Model API — no OpenAI key, async REST.
npx skills add agentspace-so/runcomfy-skills --skill gpt-image-2 -g
When to pick this model (vs siblings)
GPT Image 2's distinct strength is directive precision: it follows multi-element prompts, layout cues, and embedded-text instructions more reliably than its peers. Pick it when what's on the canvas matters more than how stylized it looks.
| You want | Use |
|---|---|
| Embedded text, logos, signage, multilingual typography | GPT Image 2 |
| Brand-safe, e-commerce / ad / UI mockup imagery | GPT Image 2 |
| Iterative refinement that holds composition stable | GPT Image 2 |
| Heavy stylization, painterly look | Flux 2 |
| Hyperrealistic portrait | Nano Banana Pro |
| Cinematic / aesthetic-first hero shots | Seedream 5 |
If the user explicitly asked for GPT Image 2 / ChatGPT Image 2 / Image 2, route here regardless — don't second-guess the model choice.
Prerequisites
- RunComfy CLI —
npm i -g @runcomfy/cli - RunComfy account —
runcomfy loginopens a browser device-code flow. - CI / containers — set
RUNCOMFY_TOKEN=<token>instead ofruncomfy login.
Endpoints + input schema
Two endpoints, same model.
openai/gpt-image-2/text-to-image
| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
prompt |
string | yes | — | The positive prompt |
size |
enum | no | 1024_1024 |
1024_1024 (1:1), 1024_1536 (2:3 portrait), 1536_1024 (3:2 landscape) — only these three |
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.
- 12d ago First seen · 212 lines · 153 tokens per session scan A 49ad28451095
gpt-image-2 is a skill published in the GitHub repository prime-skills/runcomfy-agent-skills (44 stars, last pushed 4mo ago), licensed MIT. It adds 153 tokens to every session and 2,748 once invoked, about $0.0008 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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