varg-mascot-jingle-ad@1.0.2
VERIFIED· install onlyPublisher claims: "Turns a product into a singing mascot ad on varg: the product itself as a claymation, plush or 3D-family-film character with a face built for lip-sync, a 15-30 s jingle with the brand name in the hook (Lyria 3.5 with timed lyric sections, trimmed to length), the mascot singing it on Seedance 2.5 with the song as an audio reference, the master song laid back on top, lyric captions and a real product end card. Non-human ads skip the "fake person" problem, get shared and suit dropshipping products. Use when a seller asks for a jingle ad, a singing product, a mascot ad, a claymation or cartoon product video, a song ad for TikTok or Reels, or a talking product character. Not for full music videos for songs (varg-music-video), human UGC actors (ai-ugc-ad-video), or original characters without a product (varg-character-absurd)." 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 2026-11-11 and scored it 87/100 (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
Generated by .github/readme/build.ts from SKILL.md files and .github/readme/*.json. Edit those and run `bun .github/readme/build.ts`; CI fails when this file isFix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.No other findings across 147 lines in 2 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.