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 intellectronica/agent-skills --skill gpt-image-1-5git clone --depth 1 https://github.com/intellectronica/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/intellectronica/agent-skills/gpt-image-1-5)<a href="https://agentmods.dev/skills/intellectronica/agent-skills/gpt-image-1-5"><img src="https://agentmods.dev/badge/skills/intellectronica/agent-skills/gpt-image-1-5/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/intellectronica/agent-skills/gpt-image-1-5"><img src="https://agentmods.dev/badge/skills/intellectronica/agent-skills/gpt-image-1-5.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk fail
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 | $0.00114 | $0.01663 |
| Opus 5 | $0.00057 | $0.00831 |
| Sonnet 5 | $0.00023 | $0.00333 |
| Haiku 4.5 | $0.00011 | $0.00166 |
Grade A, and why
gpt-image-1-5 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 11d 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GPT Image 1.5 - Image Generation & Editing
Generate new images or edit existing ones using OpenAI's GPT Image 1.5 model.
- Generation: Uses the Responses API with image_generation tool
- Editing: Uses the Image API for reliable mask-based inpainting
Usage
Run the script using absolute path (do NOT cd to skill directory first):
Generate new image:
uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "your image description" --filename "output-name.png" [--quality low|medium|high] [--size 1024x1024|1024x1536|1536x1024|auto] [--background transparent|opaque|auto] [--api-key KEY]
Edit existing image (without mask - full image edit):
uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "editing instructions" --filename "output-name.png" --input-image "path/to/input.png" [--size 1024x1024|1024x1536|1536x1024|auto] [--api-key KEY]
Edit existing image (with mask - precise inpainting):
uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "what to put in masked area" --filename "output-name.png" --input-image "path/to/input.png" --mask "path/to/mask.png" [--size 1024x1024|1024x1536|1536x1024|auto] [--api-key KEY]
Important: Always run from the user's current working directory so images are saved where the user is working, not in the skill directory.
Parameters
Quality Options
- low - Fastest generation, lower quality
- medium (default) - Balanced quality and speed
- high - Best quality, slower generation
Map user requests:
- No mention of quality ->
medium - "quick", "fast", "draft" ->
low - "high quality", "best", "detailed", "high-res" ->
high
Size Options
- 1024x1024 (default) - Square format
- 1024x1536 - Portrait format
- 1536x1024 - Landscape format
- auto - Let the model decide based on prompt
Map user requests:
- No mention of size ->
1024x1024 - "square" ->
1024x1024 - "portrait", "vertical", "tall" ->
1024x1536 - "landscape", "horizontal", "wide" ->
1536x1024
What ships with it
1 file 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.
- 11d ago First seen · 142 lines · 114 tokens per session scan A 2ecac669f8a6
gpt-image-1-5 is a skill published in the GitHub repository intellectronica/agent-skills (292 stars, last pushed 4mo ago), licensed CC0-1.0. It adds 114 tokens to every session and 1,663 once invoked, about $0.0006 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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