gemini-video-understanding

gemini-video-understanding is a skill for Claude Code, Codex from benchflow-ai/skillsbench. It costs 47 tokens per session (2,307 once invoked), scanned A, original, Apache-2.0.

A video-analysis workflow using Google's Gemini API to understand uploaded videos or public YouTube videos. It can produce summaries, answer timestamped questions, find scenes, create clips, transcribe speech with visual context, and compare videos.

In plain words
What is it for?
Use it for video summaries, chapter or scene timelines, timestamp questions, visually informed transcripts, clips, multi-video comparisons, and YouTube analysis.
Why use it?
It lets developers ask questions about both what is said and what appears on screen without building separate video-processing steps. Sampling and clipping options can also focus analysis on relevant parts of long recordings.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for video summaries, chapter or scene timelines, timestamp questions, visually informed transcripts, clips, multi-video comparisons, and YouTube analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/benchflow-ai/skillsbench/gemini-video-understanding
About the project

SkillsBench is a benchmark for measuring how effectively AI agents use modular skills—folders containing instructions, scripts, and resources—to complete specialized tasks. It helps researchers and developers evaluate both skill quality and agent behavior, including tasks that require combining multiple skills. The catalogue’s skills and instructions are evaluated as part of this workflow.

benchflow-ai/skillsbench · 1,764 stars · on GitHub · skillsbench.ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add benchflow-ai/skillsbench --skill gemini-video-understanding
Clone the repo
git clone --depth 1 https://github.com/benchflow-ai/skillsbench

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gemini-video-understanding

README.md
[![agentmods](https://agentmods.dev/badge/skills/benchflow-ai/skillsbench/gemini-video-understanding/github.svg)](https://agentmods.dev/skills/benchflow-ai/skillsbench/gemini-video-understanding)
Your own site
<a href="https://agentmods.dev/skills/benchflow-ai/skillsbench/gemini-video-understanding"><img src="https://agentmods.dev/badge/skills/benchflow-ai/skillsbench/gemini-video-understanding/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gemini-video-understanding

Your own site · 80×15
<a href="https://agentmods.dev/skills/benchflow-ai/skillsbench/gemini-video-understanding"><img src="https://agentmods.dev/badge/skills/benchflow-ai/skillsbench/gemini-video-understanding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,307 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00047 $0.02307
Opus 5 $0.00023 $0.01154
Sonnet 5 $0.00009 $0.00461
Haiku 4.5 $0.00005 $0.00231

Measured 12d ago against content hash 49f3ca8f3618, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

gemini-video-understanding scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

tasks-extra/pedestrian-traffic-counting/environment/skills/gemini-video-understanding/SKILL.md · 315 lines

How it starts

The opening of the file, as written. The whole thing — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gemini Video Understanding Skill

Purpose

This skill enables video understanding workflows using the Google Gemini API, including video summarization, question answering, transcription with optional visual descriptions, timestamp-based queries (MM:SS), scene/timeline detection, video clipping, custom FPS sampling, multi-video comparison, and YouTube URL analysis.

When to Use

  • Summarizing a video into key points or chapters
  • Answering questions about what happens at specific timestamps (MM:SS)
  • Producing a transcript (optionally with visual context) and speaker labels
  • Detecting scene changes or building a timeline of events
  • Analyzing long videos by clipping to relevant segments or reducing FPS
  • Comparing multiple videos (up to 10 videos on Gemini 2.5+)
  • Analyzing public YouTube videos directly via URL

Required Libraries

The following Python libraries are required:

from google import genai
from google.genai import types
import os
import time

Input Requirements

  • File formats: MP4, MPEG, MOV, AVI, FLV, MPG, WebM, WMV, 3GPP
  • Size constraints:
    • Use inline bytes for small files (rule of thumb: <20MB).
    • Use the File API upload flow for larger videos (most real videos).
  • YouTube:
    • Video must be public (not private/unlisted) and not age-restricted.
    • Provide a valid YouTube URL.
  • Duration / context window (model-dependent):
    • 2M-token models: ~2 hours (default resolution) or ~6 hours (low-res).
    • 1M-token models: ~1 hour (default) or ~3 hours (low-res).
  • Timestamps: Use MM:SS (e.g., 01:15) when requesting time-based answers.

Output Schema

All extracted/derived content should be returned as valid JSON conforming to this schema:

{
  "success": true,
  "source": {
    "type": "file|youtube",
    "id": "video.mp4|VIDEO_ID_OR_URL",
    "model": "gemini-2.5-flash"
  },
  "summary": "Concise summary of the video...",
  "transcript": {
    "available": true,
    "text": "Full transcript text (may include speaker labels)...",
    "includes_visual_descriptions": true
  },
  "events": [
    {
      "timestamp": "MM:SS",
      "description": "What happens at this time",
      "category": "scene_change|key_point|action|other"
    }
  ],
  "warnings": [
    "Optional warnings about limitations, missing timestamps, or low confidence areas"
  ]
}

Read the full file on GitHub · 315 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 315 lines · 47 tokens per session scan A 49f3ca8f3618

Subscribe to this mod's changes

gemini-video-understanding is a skill published in the GitHub repository benchflow-ai/skillsbench (1,764 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 47 tokens to every session and 2,307 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.