product-photo-to-video@1.0.0
VERIFIED· install onlyPublisher claims: "Turn a product photo into a product video ad that keeps the real product. Builds TikTok, Reels, TikTok Shop b-roll and listing videos from one to three product photos: a product truth sheet (label text letter by letter, colours, parts), a cut-out, a hero still, an 8–12 panel storyboard sheet, then one multi-shot Seedance 2.5 or Kling 4 clip with a PRODUCT LOCK block, a repair pass on drifting shots, and the real packshot composited on the last second. Formats: hands-only ASMR unboxing, macro pour or texture, ingredient burst or exploded view, product in use, 360° loop, product in a hand, apparel try-on. Never ships a Ken Burns slideshow. Use when someone has product photos and wants a product video, packshot animation, unboxing, ASMR product video, listing video or AI b-roll without filming. NOT for a person talking about the product (use ai-ugc-ad-video), TikTok Shop presenter videos (use tiktok-shop-video), or still listing images (use a product-photo skill)." Observed in sandbox: no network, touches nothing outside the project, writes no memory.
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 2026-10-28 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 deviationsStatic findings
No findings across 243 lines in 3 files.
Cost to the agent
Not measured yet; benchmarks are collected with each run since November 5, 2026. See the MCP server benchmarks.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.