Agent skill · Audited from source

higgsfield-marketplace-cards

skill · higgsfield-ai/skillsMIT licenceAudited 23 Oct 2026 · source d60a8ba7e89c

★ 1,362pushed 26 days agoversion 0.13.0
✓SAFEGrade B · 89/100 · 23 Oct 2026 · d60a8ba
1,362repo stars · whole higgsfield-ai/skills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit d60a8ba7e89c and found no filesystem, network or shell access and no hard-coded secrets. What it does: Generate marketplace product image cards through Higgsfield: compliant main image, secondary product images, and A+ style content modules. Use when the user asks for marketplace listing images, product detail cards,…

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Cite this page

ModelsAtlas. “higgsfield-marketplace-cards (higgsfield-ai/skills)”. Retrieved 23 Oct 2026. https://modelsatlas.com/skills/higgsfield-ai/higgsfield-marketplace-cards

Trust audit

Audit 0.4.1 · source read 23 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low1 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS1
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (1)

INFOSupply chainprompt.pipe_to_shell · SKILL.md:26
F-08 Supply chainCWE-829 · CWE-1357Layer L2
1. If `higgsfield` is not on `$PATH`, install it by running the official installer with Bash: `curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh`.
Why
No further detail recorded for this rule.
Fix
—

Audit 0.4.1 · source sha d60a8ba7e89c · 23 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publisherhiggsfield-ai GitHub organizationOwner of the repository this skill is read from
  • Source folderhiggsfield-ai/skills/higgsfield-marketplace-cardsThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdictd60a8ba7e89cA new audit runs when the source changes
  • Repository statusNot archivedLast push 26 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Generate marketplace product image cards through Higgsfield: compliant main image, secondary product images, and A+ style content modules. Use when the user asks for marketplace listing images, product detail cards,…

---
version: 0.13.0
name: higgsfield-marketplace-cards
description: |
  Generate marketplace product image cards through Higgsfield: compliant
  main image, secondary product images, and A+ style content modules. Use when
  the user asks for marketplace listing images, product detail cards,
  secondary product images, product infographics, lifestyle listing shots,
  A+ style content, marketplace image sets, or sales-ready product visuals.
  Backend owns marketplace compliance references and prompt templates; this skill
  only routes user intent to the CLI.
  NOT for generic brand product photography without marketplace/listing context
  (use higgsfield-product-photoshoot), video generation or UGC ads (use
  higgsfield-generate), or Soul Character training (use higgsfield-soul-id).
argument-hint: "[--scope main|product-images|aplus|full-set] [prompt]"
allowed-tools: Bash
---

# Marketplace Cards

Create marketplace-ready product visuals with `higgsfield marketplace-cards create`.
The CLI first calls the backend enhancer, where marketplace rules and templates are kept private, then creates `nano_banana_2` jobs and prints result URLs.

## Bootstrap

1. If `higgsfield` is not on `$PATH`, install it by running the official installer with Bash: `curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh`.
2. If `higgsfield account status` fails with authentication errors, ask the user to run `higgsfield auth login`.

## UX Rules

1. Respond in the user's language.
2. Ask at most one concise confirmation question before running.
3. Prefer a product image. If the user provides only text or a URL, proceed only when the product details are clear.
4. Do not write final image-generation prompts yourself. Backend enhancement owns that.
5. Final answer should contain only the ready image URLs and short labels.

## Scope Selection

Use `--scope` when the user asks for a common bundle:

| Scope | Creates |
|---|---|
| `main` | 1 marketplace main image |
| `product-images` | main image + 5 secondary images |
| `aplus` | main image + 7 A+ modules |
| `full-set` | main image + 5 secondary images + 7 A+ modules |

Use repeated `--asset` only for custom subsets:

- `main_image`
- `infographic`
- `multi_angle`
- `detail_shot`
- `lifestyle`
- `whats_in_box`
- `aplus_hero_banner`
- `aplus_pain_points`
- `aplus_features`
- `aplus_ingredients`
- `aplus_efficacy`
- `aplus_how_to_use`
- `aplus_endorsement`

## Command

Build and run one `higgsfield marketplace-cards create` command from the user's request.

For common bundles, use `--scope <main|product-images|aplus|full-set>`, `--prompt "<short product and listing intent>"`, optional repeated `--image <path-or-upload-id>`, and optional context flags: `--product_context`, `--brand_context`, `--category`, `--visual_style`.

Examples to mirror when choosing arguments:

- Product images: `higgsfield marketplace-cards create --scope product-images --prompt "sparkling peach lemonade can for marketplace listing" --image ./can.png --category "beverage"`
- Full set: `higgsfield marketplace-cards create --scope full-set --prompt "premium skincare serum, clean clinical marketplace visual system" --image ./serum.jpg --brand_context "minimal white and sage palette"`
- Custom subset: repeat `--asset`, for example `--asset main_image --asset infographic --asset lifestyle`.
- Existing completed main image job: use `--main-job <completed_main_job_id>` with the requested secondary or A+ `--asset` values.

## Delivery

Print URLs with labels:

```text
Marketplace cards ready:
- Main image: https://...
- Infographic: https://...
- Lifestyle: https://...
```

Avoid JSON, job IDs, internal model names, or enhanced prompt text unless the user explicitly asks.

Excerpt, first 3,753 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit d60a8ba

Download folder ↗
git clone https://github.com/higgsfield-ai/skills
git -C skills checkout d60a8ba7e89c

The author documents no install command, so this uses the repository directly. Our verdict covers commit d60a8ba7e89c only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source d60a8ba7e89c

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/higgsfield-ai/higgsfield-marketplace-cards/badge.svg)](https://modelsatlas.com/skills/higgsfield-ai/higgsfield-marketplace-cards/)

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Questions about higgsfield-marketplace-cards

Is higgsfield-marketplace-cards safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can higgsfield-marketplace-cards access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (d60a8ba7e89c), read on 2026-10-23. The repository is watched, and a new audit runs when it changes — this is the first audit.

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