varg-product-lock@1.0.1
CAUTIONPublisher claims: "Turns product photos into AI video shots that keep the product identical: a lock sheet (fixed geometry, fixed surface, allowed motion), a reference pack of 2-4 angles passed as @image roles to Seedance 2.5 or Kling 4, a camera-risk ladder (locked frame → push-in → slide → small orbit), banned motion words, one action per 4-6 s shot, a drift check with varg video_analyze, and the real packshot composited back where text must be exact. Fixes the #1 "looks fake" tell in AI product ads: warped logos, melted labels, products that change shape or size between shots. Use when a product drifts, morphs, changes color or loses its label in AI video, when someone asks for "consistent product", "keep my logo", "product looks different in every shot", or before a batch of product videos for TikTok Shop, Meta or Amazon. Not for people and characters staying the same (use varg-consistent-characters or varg-character-design)." Observed in sandbox: static analysis only — behavior not yet observed.
Is [email protected] safe to install?
KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-06 and scored it 61/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Notable findings: HTML comment carrying imperative instructions to the agent. Summary: static analysis only — behavior not yet observed.
Behavior trace
Queued for honeypot run · static analysis onlyThis version has not been detonated yet. The score above counts behavior as unknown (50/100), so it cannot read Verified until the honeypot run completes and replaces this verdict.
Static findings
No other findings across 218 lines in 3 files.
Cost to the agent
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.
What would make this Verified
19 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim vargai: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
- Hidden instructions≈ +6 on the totalRemove HTML comments, zero-width characters and white-on-white text that carry instructions. Everything the agent is meant to read should be visible to the person reading the file.
- New publisher≈ +3 on the totalTime clears this on its own after 14 and 30 days. Claiming the handle (+50) is the fastest way past it.