berabuddies

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gemini-video-analyzer

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

Revisar el código fuenteVer en GitHub
Precio sin confirmar★ 612 Estrellas de GitHubRegistro actualizado · 9 oct 2026agent-skill

Resumen

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.

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

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

  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

TaskExample 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 comparisonUpload 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.

Metadatos del archivo
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",
      },
  }
Ver texto original
---
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.

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Apache-2.0
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Revisar antes de instalar: Evitar instalación automática

Licencia: 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
Abrir auditoría completa

Las herramientas son indicios de metadatos, no compatibilidad probada. Los prompts son sugerencias.

Empieza con una tarea pequeña

  1. 1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
  2. 2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
  3. 3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.

Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.

Fuente y notas de uso

Indexado

Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.

Repositorio fuente
berabuddies/Semia
Licencia
Apache-2.0
Versión
1.0.0
Último push de GitHub
1 sept 2026
Registro actualizado
9 oct 2026

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

69/100

Prometedor

Confianza

59/100

Do not auto-install

Auditoría

74/100

Requiere revisión

  • 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
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Resultados
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Copiar no es instalar. Los recuentos requieren un informe de instalación correcta, no garantizan calidad general.

Acceso para agentes

La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.

Más detalles
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      "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"
  }
}

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[![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)
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