lurkapi-ad-research@1.0.0
VERIFIEDPublisher claims: "Tear down the ads a brand or a market runs across Meta (Facebook and Instagram), Google (Search, YouTube, Shopping), TikTok (EU and UK) and LinkedIn, from the public ad libraries. Finds the advertiser on each, pulls the live ads, spots the long-running winners and turns them into angles, hooks, offers, landing pages and tests to run. Use for competitor ad research, ad library teardowns, swipe files, "what ads is X running", or how a category advertises." Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario) on 2026-11-05 and scored it 93/100 (Verified). It did what it claims and nothing else we could detect: no undeclared network egress, no credential reads, no persistent instruction writes. 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 183 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.