AI Image Generation
v1.0.3Create AI images with GPT Image, Gemini Nano Banana, FLUX, Imagen, and top providers using prompt engineering, style control, and smart editing.
⭐ 9· 6.4k·76 current·82 all-time
byIván@ivangdavila
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description promise multi‑provider image generation and the files (provider docs, API examples, prompting, benchmark notes) and the declared config path (~/image-generation/) align with that purpose. No unrelated binaries, credentials, or system paths are required.
Instruction Scope
SKILL.md and supporting docs only instruct provider API calls, prompt engineering, local memory handling, and safe polling/webhook patterns. They reference reading/writing ~/image-generation/ (documented), checking for optional env vars, and sending prompt/reference images to the listed providers — all within scope. There are no instructions to read unrelated system files, scan shell history, or exfiltrate data to unknown endpoints.
Install Mechanism
Instruction-only skill with no install spec and no code files to download or execute. This is the lowest-risk install model and matches the content (docs and examples only).
Credentials
No required credentials are forced; the metadata lists a sensible set of optional API keys for the providers the skill targets (OpenAI, Google/Gemini/Vertex, BFL/FLUX, Replicate, Leonardo, Ideogram). The required config path (~/image-generation/) is proportional for storing preferences/history. The number of optional env vars is justified by multi‑provider support.
Persistence & Privilege
always:false and normal autonomous invocation are used. The skill persists only its own workspace under ~/image-generation/ (memory.md, optional history.md) as documented and does not request system-wide changes or other skills' configurations.
Assessment
This skill appears coherent for multi‑provider image generation. Before installing:
- Understand that prompts and any reference images you send will be transmitted to whichever provider you choose (OpenAI, Google, FLUX/BFL, Replicate, Leonardo, Ideogram, Midjourney via Discord). Only use providers you trust for sensitive content.
- The skill stores local preferences and optional history under ~/image-generation/. If you want no local persistence, don't create or populate memory.md/history.md.
- To use provider APIs you must set the provider API keys in your environment (the skill lists these as optional metadata). It will only check for presence (test -n) and the docs explicitly say it does not store API keys—still, avoid pasting secrets into chat.
- Webhook examples exist (Replicate, etc.). Only configure webhook callbacks to servers you control; otherwise prefer polling to avoid sending data to third parties.
- Because this is instruction-only (no install), no code is downloaded or installed by the skill itself — network calls happen only when you instruct the agent to call a provider.
If privacy or offline-only operation is required, prefer the local routes (Stable Diffusion / flux-schnell) described in the docs and avoid setting cloud provider keys.Like a lobster shell, security has layers — review code before you run it.
latestvk977v8x9waffb5x0gav11hhq79824kh0
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
🎨 Clawdis
OSLinux · macOS · Windows
Config~/image-generation/
