Fähigkeiten object-separation
📦

object-separation

Inhaltsrevision r1 Mittleres Risiko 📁 Dateisystemzugriff⚡ Enthält Skripte⚙️ Externe Befehle

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.

Unterstützt: Claude Codex Code(CC)
Maintain this Skill? Claim it 📊 69 Angemessen

Mit meinem Agent installieren

Kopieren Sie diese Anfrage in Ihren Agent. Sie enthält die maßgebliche Skill-Seite und das Manifest.

Agent-Anfrage
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.

Ihr Agent sollte weiterhin seinen Plan anzeigen und alle von der Sicherheitsrichtlinie verlangten Bestätigungen anfordern.

Agent-lesbare Ressourcen

Verwenden Sie diese Links, wenn ein KI-Agent, Crawler oder Skript sauberen Kontext benötigt, statt die vollständige Seite zu lesen.

Markdown-Detailseite GET /skills/barty-bart-object-separation.md Signiertes manifest GET /api/skills/barty-bart-object-separation/manifest Signiertes lockfile GET /api/skills/barty-bart-object-separation/lockfile

Testen

„object-separation“ wird verwendet. Separate the presenter in clip.mp4, frames 0 through 19.

Erwartetes Ergebnis:

  • 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“ wird verwendet. Prepare a product mask without including the hand holding it.

Erwartetes Ergebnis:

  • 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.

Sicherheitsaudit

Mittleres Risiko
v1 • 20.10.2026 Versionsbericht öffnen

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.

2
Gescannte Dateien
203
Analysierte Zeilen
0
Prüfelemente
0
Falschmeldungen ignoriert

Bestätigte Sicherheitsbedenken (1)

Mittel
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.

Risikofaktoren

📁 Dateisystemzugriff (5)
README.md:3 SKILL.md:161 SKILL.md:161 SKILL.md:76 SKILL.md:120
⚡ Enthält Skripte (1)
SKILL.md:57
⚙️ Externe Befehle (20)
SKILL.md:139 SKILL.md:16-19 SKILL.md:19-21 SKILL.md:21-29 SKILL.md:29-30 SKILL.md:30-31 SKILL.md:31-35 SKILL.md:35-41 SKILL.md:41-43 SKILL.md:43-60 SKILL.md:60-66 SKILL.md:66-83 SKILL.md:83-89 SKILL.md:89-123 SKILL.md:123-127 SKILL.md:127-151 SKILL.md:151-155 SKILL.md:155 SKILL.md:160-161 SKILL.md:161
Geprüft von: codex
Diesen Bericht teilen & zitieren

Teile den versionierten Bewertungsbericht, das neutrale Badge, die Einbettungskarte und Zitate. Skillstore berichtet Nachweise, ohne zu entscheiden, ob dieser Skill sicher ist.

Versionsbericht öffnen
Sicherheitsbewertung

Berichtslink kopieren

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

Markdown-Badge

[![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-Badge

<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>

Einbettungskarte

<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>
Wissenschaftliche Zitate (APA · BibTeX · CFF)

APA-Zitat

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-Zitat

@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-Score

Warum dieser Score Evidenzvertrauen: Mittel
55
Architektur
85
Wartbarkeit
87
Inhalt
65
Gemeinschaft
83
Spezifikationskonformität

Was Sie erstellen können

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.

Diese Prompts ausprobieren

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.

Bewährte Praktiken

  • 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.

Vermeiden

  • 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.

Häufig gestellte Fragen

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.

Entwicklerdetails

Lizenz

MIT

Skillstore-Revision

r1

Versionshinweis

Der Autor hat keine Version angegeben.

Repository

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

Ref.

f67574df28ce4d0d72f3d2a644e0e75b89127ef9

Aktualität der Wartung

20.10.2026

Nutzung

2 Downloads · 0 Aufrufe

Dateistruktur

📄 README.md

📄 SKILL.md