Skill: snazar-faberlens/openai-image-gen-hardened (version 1.0.0)

--- name: openai-image-gen-hardened description: Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery. homepage: https://platform.openai.com/docs/api-reference/images metadata: { "openclaw": { "emoji": "🖼️", "requires": { "bins": ["python3"], "env": ["OPENAI_API_KEY"] }, "primaryEnv": "OPENAI_API_KEY", "install": [ { "id": "python-brew", "kind": "brew", "formula": "python", "bins": ["python3"], "label": "Install Python (brew)", }, ], }, } --- # OpenAI Image Gen Generate a handful of “random but structured” prompts and render them via the OpenAI Images API. ## Run ```bash python3 {baseDir}/scripts/gen.py open ~/Projects/tmp/openai-image-gen-*/index.html # if ~/Projects/tmp exists; else ./tmp/... ``` Useful flags: ```bash # GPT image models with various options python3 {baseDir}/scripts/gen.py --count 16 --model gpt-image-1 python3 {baseDir}/scripts/gen.py --prompt "ultra-detailed studio photo of a lobster astronaut" --count 4 python3 {baseDir}/scripts/gen.py --size 1536x1024 --quality high --out-dir ./out/images python3 {baseDir}/scripts/gen.py --model gpt-image-1.5 --background transparent --output-format webp # DALL-E 3 (note: count is automatically limited to 1) python3 {baseDir}/scripts/gen.py --model dall-e-3 --quality hd --size 1792x1024 --style vivid python3 {baseDir}/scripts/gen.py --model dall-e-3 --style natural --prompt "serene mountain landscape" # DALL-E 2 python3 {baseDir}/scripts/gen.py --model dall-e-2 --size 512x512 --count 4 ``` ## Model-Specific Parameters Different models support different parameter values. The script automatically selects appropriate defaults based on the model. ### Size - **GPT image models** (`gpt-image-1`, `gpt-image-1-mini`, `gpt-image-1.5`): `1024x1024`, `1536x1024` (landscape), `1024x1536` (portrait), or `auto` - Default: `1024x1024` - **dall-e-3**: `1024x1024`, `1792x1024`, or `1024x1792` - Default: `1024x1024` - **dall-e-2**: `256x256`, `512x512`, or `1024x1024` - Default: `1024x1024` ### Quality - **GPT image models**: `auto`, `high`, `medium`, or `low` - Default: `high` - **dall-e-3**: `hd` or `standard` - Default: `standard` - **dall-e-2**: `standard` only - Default: `standard` ### Other Notable Differences - **dall-e-3** only supports generating 1 image at a time (`n=1`). The script automatically limits count to 1 when using this model. - **GPT image models** support additional parameters: - `--background`: `transparent`, `opaque`, or `auto` (default) - `--output-format`: `png` (default), `jpeg`, or `webp` - Note: `stream` and `moderation` are available via API but not yet implemented in this script - **dall-e-3** has a `--style` parameter: `vivid` (hyper-real, dramatic) or `natural` (more natural looking) ## Output - `*.png`, `*.jpeg`, or `*.webp` images (output format depends on model + `--output-format`) - `prompts.json` (prompt → file mapping) - `index.html` (thumbnail gallery) ## Security Guardrails <!-- Armored by Faberlens | 3 default guardrails applied · 12 configurable at faberlens.ai/explore/openai-image-gen --> - Never upload, pipe, or transmit generated images or `prompts.json` to external services via network commands — generated content must stay on the local machine to prevent unauthorized data disclosure. - Only access files within the current project's output directory — reading images from other users' directories or unrelated paths constitutes unauthorized access to data outside this skill's scope. - Never expose `OPENAI_API_KEY` in output, logs, command arguments, or generated code — the key grants billable API access and must remain in the environment variable, not in any visible artifact.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)