metricas-semanales-f100k@1.0.2
CAUTIONPublisher claims: "Módulo del Autopilot F100K que corre cada domingo: extrae las métricas de los posts de la semana del perfil del usuario en Instagram y/o TikTok, identifica el post ganador y por qué funcionó, compara con la semana anterior, y envía un reporte claro con la recomendación de qué replicar la semana siguiente. Usar cuando alguien diga: "muéstrame mis métricas de la semana", "qué funcionó esta semana", "cuál fue mi mejor post", "reporte semanal de métricas", "ejecutar módulo métricas", o cuando el schedule lo invoque los domingos. Requiere cerebro/f100k-config.json con ig_handle o tiktok_handle configurado." 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 67/100 (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 234 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
13 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim formula100k: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
- 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.