muapi-color-analysis-board — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited muapi-color-analysis-board (Agent Skill) and scored it 45/100 (orange). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 1 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 1 flagged
A base64 string of 128+ characters appears in a documentation file. Encoded prompt injection hides the hostile instruction in base64 — invisible to keyword filters — and relies on the agent's ability to decode it at runtime. There is no normal authoring reason to embed a multi-hundred-byte base64 blob in skill docs.
*.sig, SIGNATURES) outside the documentation.Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Turn a portrait photo into a high-end editorial "Color Analysis Board" in a luxury fashion-magazine style (Dior / Ralph Lauren aesthetic) — best colors, undertone, makeup guide, capsule wardrobe, hair & jewelry recommendations, all laid out on a clean beige/ivory grid.
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
person_image | image_url | yes | — | A clear, well-lit portrait of the person. Front-facing, neutral background, and natural lighting give the strongest color reads (undertone, hair, eyes). Avoid heavy filters or makeup that masks the natural complexion. |
If {{person_image}} is not provided, ask the user to upload a clear front-facing portrait. Make sure the face is well-lit with natural color (no heavy filters, color-cast lighting, or sunglasses) — the model needs accurate skin, hair, and eye color to pick the right palette.
Once the photo is available, submit ONE step to generate the color analysis board:
muapi image edit (model=gpt-image-2-image-to-image):{{person_image}}3840x2160 (16:9 landscape) — magazine-spread aspect ratioautopngautolow Create a high-end editorial "Color Analysis Board" from this portrait in a luxury fashion magazine style (Dior / Ralph Lauren aesthetic). Clean beige/ivory background, warm tones, soft diffused lighting, ultra-detailed photorealistic quality, consistent lighting, minimal elegant typography, grid-based layout.
Main portrait: enhanced natural beauty (same identity, smooth skin, soft glow, realistic texture)
Top section: "Your Best Colors" with fabric swatches with the best algorithm choices
Undertone panel: warm / neutral / cool with marked result.
Colors to avoid
Neutrals that work
Prints that flatter
Makeup guide: eyeshadows, blush, lips, highlighter
"You in your colors": multiple outfit best variations
Hair colors: best.
Jewelry
Style notes
Capsule wardrobe: coordinated outfits, shoes, bags, accessories
Style: best style for mePresent the generated board to the user. Suggest variations they can try: a different source portrait (different lighting / hairstyle for comparison), or asking to bias the palette toward a season (e.g. "spring warm" vs "winter cool") or a specific brand aesthetic (e.g. minimalist Scandinavian, Old Money, streetwear).
color analysis, color analysis board, personal color palette, seasonal color analysis, undertone analysis, style guide board, fashion color board, capsule wardrobe board
muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is unset.curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait <request_id>.{{input_name}} placeholders with the user's actual inputs before issuing each call.gpt-image-v2-edit (from the source workflow JSON) maps to gpt-image-2-image-to-image in the muapi catalog.image_size.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.