Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add nicknisi/claude-plugins/plugin install image-genWrote 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/nicknisi/claude-plugins/image-gen)<a href="https://agentmods.dev/skills/nicknisi/claude-plugins/image-gen"><img src="https://agentmods.dev/badge/skills/nicknisi/claude-plugins/image-gen/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/nicknisi/claude-plugins/image-gen"><img src="https://agentmods.dev/badge/skills/nicknisi/claude-plugins/image-gen.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00067 | $0.00496 |
| Opus 5.5 | $0.00027 | $0.00198 |
| Sonnet 5.5 | $0.00013 | $0.00099 |
| Haiku 4.5 | $0.00007 | $0.00050 |
Grade A, and why
image-gen 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 2mo 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
Image Generation & Editing
Multi-provider image generation. Default provider is Gemini (nano-banana-pro); pass --provider openai to use gpt-image-2.
Which provider to pick
- Gemini (default): general illustrations, quick diagrams, visual imagery. Accepts
--input-imagerepeatedly for multi-image composition. - OpenAI: anything where text rendering matters (infographics, slide-like images, dense-label diagrams, logos with text), or when you need masked inpainting on edits.
Usage
The skill ships a pre-bundled Node script — no tsx or dependency install needed. The script's --help is the authoritative flag reference; run it rather than guessing:
node ${CLAUDE_PLUGIN_ROOT}/skills/image-gen/dist/generate_image.js --help
Generate:
node ${CLAUDE_PLUGIN_ROOT}/skills/image-gen/dist/generate_image.js \
--prompt "your description" --filename "output.png"
Edit (image-to-image):
node ${CLAUDE_PLUGIN_ROOT}/skills/image-gen/dist/generate_image.js \
--prompt "editing instructions" --filename "output.png" \
--input-image "path/to/input.png"
API keys
Read from the environment unless --api-key overrides: Gemini uses GEMINI_API_KEY or GOOGLE_API_KEY; OpenAI uses OPENAI_API_KEY. If only OPENAI_API_KEY is set, the provider defaults to OpenAI.
Conventions
- Name files
YYYY-MM-DD-HH-MM-SS-descriptive-name.png. - For blog diagrams, use OpenAI at
2K— anything with readable labels or callouts needs its text fidelity. Save to the post's content dir (e.g.src/content/blog/post-name/) and prefer clean, minimalist styles. - The script prints the saved path. Report that path to the user; do not read the image back.
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.
- 2mo ago First seen · 51 lines · 67 tokens per session scan A c8ec853977fb
image-gen is a skill published in the GitHub repository nicknisi/claude-plugins (114 stars, last pushed 2mo ago), licensed MIT. It adds 67 tokens to every session and 496 once invoked, about $0.0003 per session on Opus 5.5. 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.
image-gen compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| image-gennicknisi/claude-plugins | Skill | 114 | 2mo ago | MIT | A | 67 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |