스킬 object-separation

📦

object-separation

Name: object-separation
Author: barty-bart

콘텐츠 리비전 r1 중간 위험 📁 파일 시스템 접근⚡ 스크립트 포함⚙️ 외부 명령어

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.

지원: Claude Codex Code(CC)

📊 69 적절함

Maintain this Skill? Claim it 📊 69 적절함

내 에이전트로 설치

이 요청을 에이전트에 복사하세요. 공식 Skill 페이지와 매니페스트가 포함되어 있습니다.

에이전트 요청

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.

에이전트는 계속해서 계획을 표시하고 보안 정책에서 요구하는 확인을 요청해야 합니다.

에이전트가 읽기 쉬운 리소스

AI 에이전트, 크롤러, 스크립트가 전체 페이지 대신 정리된 컨텍스트만 필요할 때 이 링크를 사용하세요.

Markdown 상세 GET /skills/barty-bart-object-separation.md 서명된 manifest GET /api/skills/barty-bart-object-separation/manifest 서명된 lockfile GET /api/skills/barty-bart-object-separation/lockfile

테스트해 보기

"object-separation" 사용 중입니다. Separate the presenter in clip.mp4, frames 0 through 19.

예상 결과:

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.

"object-separation" 사용 중입니다. Prepare a product mask without including the hand holding it.

예상 결과:

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.

보안 감사

중간 위험

v1 • 2026. 10. 20. 버전별 보고서 열기

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.

스캔된 파일

203

분석된 줄 수

검토 항목

오탐 무시됨

확인된 보안 우려 사항 (1)

중간

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.

위험 요인

📁 파일 시스템 접근 (5)

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

⚡ 스크립트 포함 (1)

SKILL.md:57

⚙️ 외부 명령어 (20)

감사자: codex

이 보고서 공유 및 인용

버전이 지정된 평가 보고서, 중립 배지, 임베드 카드 및 인용을 공유하세요. Skillstore는 근거를 보고하지만 이 Skill의 안전 여부를 판단하지 않습니다.

버전별 보고서 열기

보고서 링크 복사

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

Markdown 배지

[![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)

HTML 배지

<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>

임베드 카드

<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>

학술 인용 (APA · BibTeX · CFF)

APA 인용

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

BibTeX 인용

@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"

Skillstore 점수

이 점수의 이유 증거 신뢰도: 중간

아키텍처

유지보수성

콘텐츠

커뮤니티

사양 준수

만들 수 있는 것

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.

이 프롬프트를 사용해 보세요

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.

모범 사례

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.

피하기

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.

자주 묻는 질문

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.

개발자 세부 정보

작성자

barty-bart

라이선스

MIT

Skillstore 리비전

버전 안내

작성자가 버전을 선언하지 않았습니다.

리포지토리

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

참조

f67574df28ce4d0d72f3d2a644e0e75b89127ef9

유지보수 최신성

2026. 10. 20.

사용량

2 다운로드 · 0 조회

파일 구조

📄 README.md

📄 SKILL.md