Навыки object-separation

📦

object-separation

Name: object-separation
Author: barty-bart

Ревизия содержимого r1 Средний риск 📁 Доступ к файловой системе⚡ Содержит скрипты⚙️ Внешние команды

Separate Video Subjects Locally with SAM 2.1

Manual video subject masking can take substantial editing time. This skill guides local SAM 2.1 processing to generate frame masks and a green highlight preview.

Поддерживает: Claude Codex Code(CC)

📊 69 Адекватно

Maintain this Skill? Claim it 📊 69 Адекватно

Установить с помощью моего Агента

Скопируйте этот запрос в своего Агента. Он содержит каноническую страницу Skill и манифест.

Запрос агента

Review the Skillstore skill "object-separation" from https://skillstore.io/skills/barty-bart-object-separation.md and its manifest at https://skillstore.io/api/skills/barty-bart-object-separation/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Ваш Агент по-прежнему должен показать план и запросить все подтверждения, требуемые политикой безопасности.

Ресурсы для AI-агентов

Используйте эти ссылки, когда AI-агенту, crawler или script нужен чистый контекст вместо полной страницы.

Markdown-детали GET /skills/barty-bart-object-separation.md Подписанный manifest GET /api/skills/barty-bart-object-separation/manifest Подписанный lockfile GET /api/skills/barty-bart-object-separation/lockfile

Протестировать

Использование «object-separation». Separate the presenter in clip.mp4, frames 0 through 19.

Ожидаемый результат:

Expected preview: work/separated.mp4, showing the presenter highlighted in green.
Expected masks: numbered PNG files in work/masks/subject/, with white pixels marking the subject.
Review the beginning, middle, and end before extending the selected range.

Использование «object-separation». Prepare a product mask without including the hand holding it.

Ожидаемый результат:

Point plan: positive points inside the product and negative points on the hand and table.
Validation: inspect contact edges and occlusions in a short test range.
Expected deliverables: binary subject masks and a green highlight video; background replacement requires another editing step.

Аудит безопасности

Средний риск

v1 • 20.10.2026 Открыть версионный отчет

All 27 static alerts are false positives: Markdown formatting, model inference setup, and ordinary local processing do not demonstrate the alleged threats. A separate cleanup instruction could delete unrelated cached models on Windows. No evidence found of prompt injection or video exfiltration; setup downloads dependencies and model files.

Просканировано файлов

203

Проанализировано строк

Пункты проверки

Ложные срабатывания проигнорированы

Подтверждённые проблемы безопасности (1)

Средний

SKILL.md:157-161

Overbroad Windows Model Cache Cleanup

Optional cleanup says to delete the model but gives the Windows path C:\Users\<name>\.cache\huggingface\hub. Deleting this shared directory could remove unrelated models.

The Windows alternative names the whole hub directory, unlike the model-specific Unix path. The deletion instruction therefore exposes unrelated cached models to removal.

Факторы риска

📁 Доступ к файловой системе (5)

README.md:3 SKILL.md:161 SKILL.md:161 SKILL.md:76 SKILL.md:120

⚡ Содержит скрипты (1)

SKILL.md:57

⚙️ Внешние команды (20)

Аудитор:: codex

Поделиться и цитировать этот отчет

Делитесь версионным отчетом об оценке, нейтральным значком, встраиваемой карточкой и цитатами. Skillstore публикует доказательства, не решая, безопасен ли этот Skill.

Открыть версионный отчет

Копировать ссылку на отчёт

https://skillstore.io/skills/barty-bart-object-separation/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Значок Markdown

[![Skillstore security assessment](https://skillstore.io/badges/skills/barty-bart-object-separation/security.svg)](https://skillstore.io/skills/barty-bart-object-separation?utm_source=security_passport_badge)

Значок HTML

<a href="https://skillstore.io/skills/barty-bart-object-separation?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/barty-bart-object-separation/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

Встраиваемая карточка

<iframe src="https://skillstore.io/embed/skills/barty-bart-object-separation.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

Академические ссылки (APA · BibTeX · CFF)

Цитата APA

barty-bart. (2026). object-separation security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/barty-bart-object-separation/audits/1

Цитата BibTeX

@techreport{barty-bart-barty-bart-object-separation-2026,
  author = {barty-bart},
  title = {object-separation security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/barty-bart-object-separation/audits/1},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "object-separation security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
  - name: "barty-bart"
date-released: "2026-10-20"
url: "https://skillstore.io/skills/barty-bart-object-separation/audits/1"
identifiers:
  - type: other
    value: "skillstore:barty-bart-object-separation:audit:1"
    description: "Skillstore immutable audit report identifier"

Оценка Skillstore

Почему такая оценка Достоверность доказательств: Средний

Архитектура

Сопровождаемость

Контент

Сообщество

Соответствие спецификации

Что вы можете построить

Prepare Masks for Video Compositing

Generate subject masks from a short clip for later compositing in an external editor.

Isolate Products from Handling

Use exclusion points to keep hands, packaging, or a tabletop outside a product mask.

Inspect Local Segmentation Results

Create binary frame masks and inspect green overlays before reusing the masks in a separate analysis workflow.

Попробуйте эти промпты

Test a Short Subject Mask

Use object-separation on clip.mp4. Separate the person in frames 0 through 19 and show the green preview before processing more frames.

Separate a Product

Separate the bottle in product.mp4, frames 30 through 89. Exclude the holding hand and table, then save the masks and preview.

Plan for Limited Hardware

Inspect available hardware for interview.mp4 and report the selected model, download size, and expected speed. Wait for approval before installation or downloads.

Refine and Export a Frame Range

For demo.mp4 frames 100 through 219, test 20 frames first. Refine exclusion points around occlusions, then export masks and the green preview. Preserve existing outputs.

Лучшие практики

Test about 20 frames and inspect occlusions before processing the full selected range.
Confirm download sizes and use a dedicated project directory; preserve existing outputs before rerunning.
Delete only confirmed skill-specific cache folders during cleanup, especially on Windows.

Избегать

Expecting the supplied renderer to produce transparent video or replace the background automatically.
Processing long CPU-only clips without estimating time or checking a short sample.
Deleting the entire shared Hugging Face cache to remove one downloaded model.

Часто задаваемые вопросы

Do I need a GPU?

No. The workflow selects a small model for CPU processing, but processing can take about five seconds per frame.

Does the workflow upload my video?

The provided code processes video locally and contains no video upload operation. Initial setup downloads packages and model files.

Which files does it produce?

It writes work/separated.mp4 with a green subject highlight and numbered binary masks under work/masks/subject/.

Does it remove or replace the background?

Not in the provided renderer. It generates masks and a green preview; transparent export or background replacement needs an additional workflow.

How does it handle hair and attached objects?

Masks are hard-edged and can miss fine hair. Add exclusion points for packaging or other attached objects, then review the result.

What should I check before cleanup?

Keep needed outputs and confirm exact cache folders. The Windows cleanup path names a shared cache and could remove unrelated models.

Сведения для разработчиков

Автор

barty-bart

Лицензия

MIT

Ревизия Skillstore

Примечание о версии

Автор не указал версию.

Репозиторий

https://github.com/barty-bart/motion-graphics/tree/3d83d987d658601d8a1269eb691622bdcd427335/skills/object-separation

Ссылка

f67574df28ce4d0d72f3d2a644e0e75b89127ef9

Актуальность поддержки

20.10.2026

Использование

0 загрузок · 0 просмотров

Структура файлов

📄 README.md

📄 SKILL.md