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gemini-video-analyzer

Preis unbestätigt★ 612 GitHub-StarsVerzeichnis aktualisiert · 9. Okt. 2026agent-skill

Übersicht

Native video analysis using Google Gemini API. Upload and analyze video files — describe scenes, extract text/UI, answer questions about content, transcribe speech, identify objects and actions. Use when: (1) User sends a video file and wants it analyzed, (2) Video summarization or description needed, (3) Extracting text, UI elements, or information from screen recordings, (4) Answering questions about video content, (5) Comparing multiple videos, (6) Analyzing tutorials, demos, or walkthroughs.

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Gemini Video Analyzer

Analyze videos natively using Google Gemini's multimodal API. No frame extraction needed — Gemini processes video at 1 FPS with full motion, audio, and visual understanding.

Quick Start

# Analyze a video with default prompt (full description)
GOOGLE_AI_API_KEY=$GOOGLE_AI_API_KEY python3 {baseDir}/scripts/analyze.py /path/to/video.mp4

# Ask a specific question
GOOGLE_AI_API_KEY=$GOOGLE_AI_API_KEY python3 {baseDir}/scripts/analyze.py /path/to/video.mp4 "What text is visible on screen?"

# Manage uploaded files
GOOGLE_AI_API_KEY=$GOOGLE_AI_API_KEY python3 {baseDir}/scripts/manage_files.py list
GOOGLE_AI_API_KEY=$GOOGLE_AI_API_KEY python3 {baseDir}/scripts/manage_files.py cleanup

Supported Formats

MP4, AVI, MOV, MKV, WebM, FLV, MPEG, MPG, WMV, 3GP — up to 2GB per file.

How It Works

Video uploads to Google's Files API (temporary, auto-deletes after 48h)
Gemini processes at 1 frame/sec — understands motion, transitions, audio context
Model generates response based on your prompt
Way better than frame extraction for understanding temporal content

Use Cases

Task	Example Prompt
General description	(default — no prompt needed)
UI/text extraction	`"What text and UI elements are visible?"`
Tutorial summary	`"Summarize the steps shown in this tutorial"`
Bug report from video	`"Describe what went wrong in this screen recording"`
Meeting notes	`"Summarize the key points discussed"`
Content comparison	Upload 2 videos, ask for differences

Configuration

Set GOOGLE_AI_API_KEY in your environment or .env file. Get a free key at aistudio.google.com.

Default model: gemini-2.5-flash (fast, cheap, excellent vision). Override with --model gemini-2.5-pro for complex analysis.

API Reference

See references/gemini-files-api.md for file upload limits, processing details, and advanced options.

Quelle ansehen ↗

Dateimetadaten

name: gemini-video-analyzer
description: |
  Native video analysis using Google Gemini API. Upload and analyze video files — describe scenes, extract text/UI, answer questions about content, transcribe speech, identify objects and actions. Use when: (1) User sends a video file and wants it analyzed, (2) Video summarization or description needed, (3) Extracting text, UI elements, or information from screen recordings, (4) Answering questions about video content, (5) Comparing multiple videos, (6) Analyzing tutorials, demos, or walkthroughs.
homepage: https://www.agxntsix.ai
metadata:
  {
    "openclaw":
      {
        "emoji": "🎬",
        "requires": { "bins": ["python3", "curl"], "env": ["GOOGLE_AI_API_KEY"] },
        "primaryEnv": "GOOGLE_AI_API_KEY",
      },
  }

Originaltext anzeigen

---
name: gemini-video-analyzer
description: |
  Native video analysis using Google Gemini API. Upload and analyze video files — describe scenes, extract text/UI, answer questions about content, transcribe speech, identify objects and actions. Use when: (1) User sends a video file and wants it analyzed, (2) Video summarization or description needed, (3) Extracting text, UI elements, or information from screen recordings, (4) Answering questions about video content, (5) Comparing multiple videos, (6) Analyzing tutorials, demos, or walkthroughs.
homepage: https://www.agxntsix.ai
metadata:
  {
    "openclaw":
      {
        "emoji": "🎬",
        "requires": { "bins": ["python3", "curl"], "env": ["GOOGLE_AI_API_KEY"] },
        "primaryEnv": "GOOGLE_AI_API_KEY",
      },
  }
---

# Gemini Video Analyzer

Analyze videos natively using Google Gemini's multimodal API. No frame extraction needed — Gemini processes video at 1 FPS with full motion, audio, and visual understanding.

## Quick Start

```bash
# Analyze a video with default prompt (full description)
GOOGLE_AI_API_KEY=$GOOGLE_AI_API_KEY python3 {baseDir}/scripts/analyze.py /path/to/video.mp4

# Ask a specific question
GOOGLE_AI_API_KEY=$GOOGLE_AI_API_KEY python3 {baseDir}/scripts/analyze.py /path/to/video.mp4 "What text is visible on screen?"

# Manage uploaded files
GOOGLE_AI_API_KEY=$GOOGLE_AI_API_KEY python3 {baseDir}/scripts/manage_files.py list
GOOGLE_AI_API_KEY=$GOOGLE_AI_API_KEY python3 {baseDir}/scripts/manage_files.py cleanup
```

## Supported Formats

MP4, AVI, MOV, MKV, WebM, FLV, MPEG, MPG, WMV, 3GP — up to 2GB per file.

## How It Works

1. Video uploads to Google's Files API (temporary, auto-deletes after 48h)
2. Gemini processes at 1 frame/sec — understands motion, transitions, audio context
3. Model generates response based on your prompt
4. Way better than frame extraction for understanding temporal content

## Use Cases

| Task | Example Prompt |
|------|---------------|
| General description | *(default — no prompt needed)* |
| UI/text extraction | `"What text and UI elements are visible?"` |
| Tutorial summary | `"Summarize the steps shown in this tutorial"` |
| Bug report from video | `"Describe what went wrong in this screen recording"` |
| Meeting notes | `"Summarize the key points discussed"` |
| Content comparison | Upload 2 videos, ask for differences |

## Configuration

Set `GOOGLE_AI_API_KEY` in your environment or `.env` file. Get a free key at [aistudio.google.com](https://aistudio.google.com/apikey).

Default model: `gemini-2.5-flash` (fast, cheap, excellent vision). Override with `--model gemini-2.5-pro` for complex analysis.

## API Reference

See [references/gemini-files-api.md](references/gemini-files-api.md) for file upload limits, processing details, and advanced options.

Quelle prüfen

Preis und Betriebskosten

Skill beziehen: Preis unbestätigt
Ausführen: Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
Lizenz: Apache-2.0
Preis unbestätigt: Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.

Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →

Skill-Quelle erfasst

Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.

Vor Installation prüfen: Automatische Installation vermeiden

Lizenz: Apache-2.0

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
No explicit error handling for network failures or API errors in scripts, which could lead to unhandled exceptions.
The skill uploads user videos to Google's servers; privacy implications are not explicitly mentioned in SKILL.md.
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Vollständiges Audit öffnen

Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.

Mit einer kleinen Aufgabe beginnen

1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.

Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.

Quelle und Nutzungshinweise

Erfasst

Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository: berabuddies/Semia
Lizenz: Apache-2.0
Version: 1.0.0
Letzter GitHub-Push: 1. Sept. 2026
Verzeichnis aktualisiert: 9. Okt. 2026
Anleitungspfad: tests/fixtures/skills/aiwithabidi/a6-gemini-video-analyzer/SKILL.md @ 379bc25fe998

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

69/100

Vielversprechend

Vertrauen

59/100

Do not auto-install

Audit

74/100

Prüfung nötig

Vollständiges Audit öffnen Eval-Bericht ansehen

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
No explicit error handling for network failures or API errors in scripts, which could lead to unhandled exceptions.
The skill uploads user videos to Google's servers; privacy implications are not explicitly mentioned in SKILL.md.
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
Ergebnisse: —

Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.

Agent-Zugang

Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.

Installations-API öffnen LLM-Textformat Manifest öffnen Auto-Auflösungsplan

Weitere Details

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      "Dependency/runtime risk: command execution surface, credential or environment access",
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    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "berabuddies-gemini-video-analyzer",
      "task": "Use gemini-video-analyzer in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/berabuddies-gemini-video-analyzer",
    "api": "https://www.openagentskill.com/api/agent/skills/berabuddies-gemini-video-analyzer",
    "audit": "https://www.openagentskill.com/skills/berabuddies-gemini-video-analyzer/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=berabuddies-gemini-video-analyzer&task=Use%20gemini-video-analyzer%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20gemini-video-analyzer%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20gemini-video-analyzer%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/berabuddies-gemini-video-analyzer/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/berabuddies-gemini-video-analyzer"
  }
}

Für Ersteller

Quelle des Eintrags

Registry-indexiert

Beanspruchbar

Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller: berabuddies
Quelle: berabuddies/Semia
Indexiert von: OpenAgentSkill Community-Index

Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.

Diesen Skill beanspruchen

Eigentümeranspruch

Diesen Skill-Eintrag beanspruchen

Dieser Registry-indexiert-Eintrag wird berabuddies zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.

Share-Kit

Creator-Backlink-Kit

Evidenz-Badges in deine README einfügen

Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/berabuddies-gemini-video-analyzer?metric=listed&label=Listed)](https://www.openagentskill.com/skills/berabuddies-gemini-video-analyzer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/berabuddies-gemini-video-analyzer?metric=trust&label=Trust)](https://www.openagentskill.com/skills/berabuddies-gemini-video-analyzer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/berabuddies-gemini-video-analyzer?metric=audit&label=Audit)](https://www.openagentskill.com/skills/berabuddies-gemini-video-analyzer/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/berabuddies-gemini-video-analyzer?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/berabuddies-gemini-video-analyzer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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Community-Signal

Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.