Claude Code Skills & Agents is a collection of reusable skills, sub-agents, and configuration templates that extend Claude Code with workflows such as research, image generation, translation, and GitHub automation. It is for Claude Code users who want to install these capabilities individually or as a marketplace plugin. The catalogue entries are components from this collection.
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/feiskyer/claude-code-settings/gpt-image-skillnpx skills add feiskyer/claude-code-settings --skill gpt-image-skillgit clone --depth 1 https://github.com/feiskyer/claude-code-settingsWrote 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/feiskyer/claude-code-settings/gpt-image-skill)<a href="https://agentmods.dev/skills/feiskyer/claude-code-settings/gpt-image-skill"><img src="https://agentmods.dev/badge/skills/feiskyer/claude-code-settings/gpt-image-skill.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 5.1 | $0.00115 | $0.01497 |
| Opus 5 | $0.00057 | $0.00749 |
| Sonnet 5 | $0.00023 | $0.00299 |
| Haiku 4.5 | $0.00012 | $0.00150 |
Grade A, and why
gpt-image-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 7d 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GPT Image Skill
Generate or edit images using OpenAI's GPT Image models through a bundled Python script.
Requirements
- OPENAI_API_KEY: Must be configured in
~/.gpt-image.envorexport OPENAI_API_KEY=<your-key> - OPENAI_API_BASE (optional): Custom API base URL for compatible endpoints (e.g. Azure OpenAI, proxies). Set in
~/.gpt-image.envor export it. - Python3 with dependencies: openai, Pillow. Install via
python3 -m pip install -r ${CLAUDE_SKILL_DIR}/requirements.txtif not installed yet. - Executable:
${CLAUDE_SKILL_DIR}/gpt_image.py
Instructions
For image generation
-
Ask the user for:
- What they want to create (the prompt)
- Desired size (optional, defaults to 1024x1024)
- Output filename (optional, auto-generates UUID-based name if not specified)
- Model preference (optional, defaults to gpt-image-2)
- Quality (optional, defaults to auto)
- Number of images (optional, defaults to 1)
-
Run the script:
python3 ${CLAUDE_SKILL_DIR}/gpt_image.py --prompt "description of image" --output "filename.png" -
Show the user the saved image path when complete.
For image editing
-
Ask the user for:
- Input image file(s) to edit (up to 3)
- What changes they want (the prompt)
- Output filename (optional)
-
Run with input images:
python3 ${CLAUDE_SKILL_DIR}/gpt_image.py edit --prompt "editing instructions" --input image1.png image2.png --output "edited.png"
Available Options
Models (--model)
gpt-image-2(default) — Latest model with strong instruction following, text rendering, and broad world knowledgegpt-image-1.5— Mid-tier modelgpt-image-1— First-generation GPT image modelgpt-image-1-mini— Lightweight, faster generation
Sizes (--size)
1024x1024(default) — Square1024x1536— Portrait (2:3)1536x1024— Landscape (3:2)auto— Let the model decide
Quality (--quality)
auto(default) — Model decides optimal qualityhigh— Higher detail, slowermedium— Balancedlow— Fastest
What ships with it
3 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.
- 7d ago First seen · 183 lines · 115 tokens per session scan A 2d33bc50d034
gpt-image-skill is a skill published in the GitHub repository feiskyer/claude-code-settings (1,647 stars, last pushed 24d ago), licensed MIT. It adds 115 tokens to every session and 1,497 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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gpt-image-skill
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minimax-image-skill
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feature-demo-recording
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image-authoring
Author images and diagrams as code — SVG, Pillow, Excalidraw, mermaid. Load when asked to draw, illustrate, or make an image, icon, logo, poster, or diagram.