assess-automotive-lighting-ip@1.0.0
CAUTION· static onlyPublisher claims: "Assess automotive-lighting component architecture, sourcing strategy, and preliminary patent and design-right risk. Use when a user provides a lamp drawing, product image, bill of materials, technical concept, or make-versus-buy question for headlamps, rear lamps, fog lamps, signal lamps, or ambient lighting and needs an evidence-backed component breakdown, sourcing decision, multi-jurisdiction FTO screening, design-risk review, design-around options, and an accessible tabbed HTML report packaged as a ZIP file." Observed in sandbox: static analysis only — behavior not yet observed.
Coverage
Static only; nothing was run yet.The label rests on the code, the instruction files and the publisher. The honeypot run replaces this verdict when it completes.
Is [email protected] safe to install?
KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-09 and scored it 71/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. 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 findings across 1,091 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.
What would make this Verified
9 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim yuanzhian-patsnap: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.