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.
npx skills add ssmurfgg04-gif/context-m --skill video-understandgit clone --depth 1 https://github.com/ssmurfgg04-gif/context-mWrote 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.
[](https://agentmods.dev/skills/ssmurfgg04-gif/context-m/video-understand)<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/video-understand"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/video-understand/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.
<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/video-understand"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/video-understand.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00068 | $0.05759 |
| Opus 5 | $0.00034 | $0.02880 |
| Sonnet 5 | $0.00014 | $0.01152 |
| Haiku 4.5 | $0.00007 | $0.00576 |
Grade A, and why
video-understand 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 917 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Understanding Skill
This skill provides specialized video understanding functionality using the z-ai-web-dev-sdk package, enabling AI models to analyze, describe, and extract information from video content including motion, temporal sequences, and scene changes.
Skills Path
Skill Location: {project_path}/skills/video-understand
this skill is located at above path in your project.
Reference Scripts: Example test scripts are available in the {Skill Location}/scripts/ directory for quick testing and reference. See {Skill Location}/scripts/video-understand.ts for a working example.
Overview
Video Understanding focuses specifically on video content analysis, providing capabilities for:
- Video scene understanding and description
- Action and motion detection
- Temporal sequence analysis
- Event detection in videos
- Video content summarization
- Scene change detection
- People and object tracking across frames
- Audio-visual content analysis (when applicable)
IMPORTANT: z-ai-web-dev-sdk MUST be used in backend code only. Never use it in client-side code.
Prerequisites
The z-ai-web-dev-sdk package is already installed. Import it as shown in the examples below.
CLI Usage (For Simple Tasks)
For quick video analysis tasks, you can use the z-ai CLI instead of writing code. This is ideal for simple video descriptions, testing, or automation.
Basic Video Analysis
# Analyze a video from URL
z-ai vision --prompt "Summarize what happens in this video" --image "https://example.com/video.mp4"
# Note: Use --image flag for video URLs as well
z-ai vision -p "Describe the key events" -i "https://example.com/presentation.mp4"
Analyze Local Videos
# Analyze a local video file
z-ai vision -p "What activities are shown in this video?" -i "./recording.mp4"
# Save response to file
z-ai vision -p "Provide a detailed summary" -i "./meeting.mp4" -o summary.json
Advanced Video Analysis
# Complex scene understanding with thinking
z-ai vision \
-p "Analyze this video and identify: 1) Main events, 2) People and their actions, 3) Timeline of key moments" \
-i "./event.mp4" \
--thinking \
-o analysis.json
# Action detection
z-ai vision \
-p "Identify all actions performed by people in this video" \
-i "./sports.mp4" \
--thinking
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 917 lines · 68 tokens per session scan A fe4787378794
video-understand is a skill published in the GitHub repository ssmurfgg04-gif/context-m (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 68 tokens to every session and 5,759 once invoked, about $0.0003 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 2026-09-03.
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