Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add twelvelabs-io/twelve-labs-claude-code-plugin/plugin install twelvelabsWrote 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/twelvelabs-io/twelve-labs-claude-code-plugin/embed)<a href="https://agentmods.dev/skills/twelvelabs-io/twelve-labs-claude-code-plugin/embed"><img src="https://agentmods.dev/badge/skills/twelvelabs-io/twelve-labs-claude-code-plugin/embed.svg" alt="Measured on agentmods" 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 | $0.00033 | $0.01175 |
| Opus 5 | $0.00016 | $0.00588 |
| Sonnet 5 | $0.00007 | $0.00235 |
| Haiku 4.5 | $0.00003 | $0.00118 |
Grade A, and why
embed 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 7d 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Embeddings
Create video embeddings, check embedding task status, and retrieve embeddings from tasks or indexed videos using TwelveLabs.
When to Use This Skill
Use this skill when the user:
- Wants to create embeddings from a video ("embed this video", "create embeddings for this video")
- Asks about embedding task status ("are my embeddings ready?", "check embedding status")
- Wants to retrieve embeddings from an indexed video ("get embeddings for video abc123")
- Mentions video embeddings in any context
Instructions
Creating Embeddings from a Video
Step 1: Identify the Video Source
Extract the video path or URL from the user's message:
- Local file path:
/path/to/video.mp4,./video.mp4,~/Videos/demo.mov - Remote URL:
https://example.com/video.mp4
If no path/URL is provided, ask the user:
Please provide the video file path or URL you'd like to create embeddings for.
Examples:
- Local file: /path/to/video.mp4 or ./video.mp4
- Remote URL: https://example.com/video.mp4
Step 2: Validate the Input
For Local Files:
- Resolve relative paths to absolute paths
- Verify the file exists
- Check file extension is supported:
.mp4,.mov,.avi,.mkv,.webm
For URLs:
- Verify URL starts with
http://orhttps://
Step 3: Start Embeddings Task
Use the mcp__twelvelabs-mcp__start-video-embeddings-task tool:
For Local Files:
Tool: mcp__twelvelabs-mcp__start-video-embeddings-task
Parameters:
videoFilePath: "<absolute-path-to-video>"
For URLs:
Tool: mcp__twelvelabs-mcp__start-video-embeddings-task
Parameters:
videoUrl: "<url>"
Step 4: Report Result
On success:
Video embedding started!
Source: <filename-or-url>
Task ID: <task_id>
Embedding creation runs in the background and may take several minutes.
Ask "are my embeddings ready?" to check the progress.
Checking Embedding Status
When the user asks about embedding status ("are my embeddings ready?", "check embedding status"):
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.
- 7d ago First seen · 176 lines · 33 tokens per session scan A 3bcb252425b9
embed is a skill published in the GitHub repository twelvelabs-io/twelve-labs-claude-code-plugin (23 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 1,175 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.
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