Skills/ClawHub/commercial-image-prompt

commercial-image-prompt@0.1.0

VERIFIED· install only

Publisher claims: "Commercial and e-commerce image generation methodology — three-layer prompt engineering framework (subject-scene / style-texture / technical-constraints) covering both global cross-border platforms (Amazon, Shopify, SHEIN, TikTok, Instagram) and domestic Asian markets (Taobao, JD, Xiaohongshu, WeChat). Includes multi-platform templates and iterative optimization strategies. Use when: generating product photos, marketing posters, e-commerce covers, or commercial AI visuals. Keywords: e-commerce image, product photography, commercial prompts, SHEIN, Amazon, Shopify, 淘宝主图, 营销海报, 小红书封面, 生图提示词." Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry ClawHubPublisher fize · publishing for 72 daysInstalls 375Last detonated 7d ago
$clawhub install commercial-image-prompt
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Coverage

Nothing executable in the bundle ran; the trace covers the install step only.
Tested
every file read, file written and host contacted by what ran
Not tested
use of the skill by an agent

Is [email protected] safe to install?

KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario; nothing executable in the bundle ran; the trace covers the install step only) on 2026-11-07 and scored it 93/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.

Behavior trace

Honeypot run · 0 s · 1 scenarios · 0 deviations
t+CategoryObserved action
0.0sprocessno install scripts in bundle
0.0sprocessscript backend runs setup only
0.0sprocessscript backend runs setup only
0.0sprocessno install scripts to re-run

Static findings

No findings across 298 lines in 4 files.

Cost to the agent

Instructions loaded
≈2,262 tok
1 file · 4 in bundle

Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.

Known vulnerabilities

Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.