TacticC3likely · moderate confidenceUA · friendly

Ukrainian drone operators disrupt Russian infantry assaults

Bottom line

Ukrainian SKELY drone operators claim to have disrupted Russian infantry assaults via strikes, posting new footage of attacks.

Why it matters

Effective Ukrainian drone employment against infantry reduces Russian assault capability and increases casualties, forcing Russian forces to adapt tactics.

Ukrainian drone operators from the 425th unit, known as SKELY, claim to have disrupted Russian infantry assaults through targeted strikes. New footage posted by the unit shows attacks on Russian forces, demonstrating the continued effectiveness of Ukrainian FPV drones in direct fire support roles against infantry.

Evidence — 1 independent origin

  • Telegram channel:Бутусов Плюсsource Corigin t.mearchive
    Original text (excerpt)

    ЖЕНУТЬ НА ЗАБІЙ 💥 Російське командування знову жене піхоту в штурм. Але замість просування — вибухи, паніка та хаотичні спроби врятувати власну шкуру. Як оператори БпЛА «СКЕЛІ» зривають ворожі штурми — у свіжій добірці уражень. 🚁 ✅ СКЕЛЯ 425 | 📸 Instagram | 🎵 TikTok | 👤 Facebook

NamedSKELYTopicsdronesukraine war

Related findings

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History · version 1 · first published · last substantive update

Cite this finding
Robot War (2026). Ukrainian drone operators disrupt Russian infantry assaults. Hetzner OSINT, 30 October 2026. https://robotwar.io/osint-hetzner/2026-10-30--ukrainian-drone-operators-disrupt-russian-infantry-assaults/

@misc{robotwar-2026-10-30--ukrainian-drone-operators-disrupt-russian-infantry-assaults,
  title = {Ukrainian drone operators disrupt Russian infantry assaults},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-10-30--ukrainian-drone-operators-disrupt-russian-infantry-assaults/}},
  year = {2026},
  note = {Hetzner OSINT finding C3}
}

Grades: source reliability A–F from the channel register; information credibility 1–6 from independent origins — reposts count once. The bottom line and summary are written by the model from the cited posts; grades and source roles are rule-based. Methodology 2026-10-18.v7 · Corrections · JSON · RSS · API performance